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Editors: Aarti Singh, Maryam Fazel, Daniel Hsu, Simon Lacoste-Julien, Felix Berkenkamp, Tegan Maharaj, Kiri Wagstaff, Jerry Zhu
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Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1-26
Lightweight Protocols for Distributed Private Quantile Estimation
Anders Aamand, Fabrizio Boninsegna, Abigail Gentle, Jacob Imola, Rasmus Pagh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27-58
Breaking the $n^1.5$ Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition
Anders Aamand, Justin Y. Chen, Mina Dalirrooyfard, Slobodan Mitrović, Yuriy Nevmyvaka, Sandeep Silwal, Yinzhan Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59-72
Improved Approximations for Hard Graph Problems using Predictions
Anders Aamand, Justin Y. Chen, Siddharth Gollapudi, Sandeep Silwal, Hao Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73-101
Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation
Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer, Amine M. Aboussalah, Michalis Vazirgiannis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:102-125
LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models
Marwa Abdulhai, Isadora White, Charlie Victor Snell, Charles Sun, Joey Hong, Yuexiang Zhai, Kelvin Xu, Sergey Levine; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:126-153
Task Generalization with Autoregressive Compositional Structure: Can Learning from $D$ Tasks Generalize to $D^T$ Tasks?
Amirhesam Abedsoltan, Huaqing Zhang, Kaiyue Wen, Hongzhou Lin, Jingzhao Zhang, Mikhail Belkin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:154-173
Consensus Is All You Get: The Role of Attention in Transformers
Álvaro Rodrı́guez Abella, João Pedro Silvestre, Paulo Tabuada; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:174-184
Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging
Pierre Ablin, Angelos Katharopoulos, Skyler Seto, David Grangier; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:185-203
Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models
Samira Abnar, Harshay Shah, Dan Busbridge, Alaaeldin El-Nouby, Joshua M. Susskind, Vimal Thilak; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:204-230
Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers
Roman Abramov, Felix Steinbauer, Gjergji Kasneci; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:231-245
EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities
Talor Abramovich, Meet Udeshi, Minghao Shao, Kilian Lieret, Haoran Xi, Kimberly Milner, Sofija Jancheska, John Yang, Carlos E Jimenez, Farshad Khorrami, Prashanth Krishnamurthy, Brendan Dolan-Gavitt, Muhammad Shafique, Karthik R Narasimhan, Ramesh Karri, Ofir Press; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:246-355
Star Attention: Efficient LLM Inference over Long Sequences
Shantanu Acharya, Fei Jia, Boris Ginsburg; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:356-371
Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data
Anish Acharya, Sujay Sanghavi, Alex Dimakis, Inderjit S Dhillon; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:372-419
Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo
Idan Achituve, Hai Victor Habi, Amir Rosenfeld, Arnon Netzer, Idit Diamant, Ethan Fetaya; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:420-443
An in depth look at the Procrustes-Wasserstein distance: properties and barycenters
Davide Adamo, Marco Corneli, Manon Vuillien, Emmanuelle Vila; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:444-459
From Mechanistic Interpretability to Mechanistic Biology: Training, Evaluating, and Interpreting Sparse Autoencoders on Protein Language Models
Etowah Adams, Liam Bai, Minji Lee, Yiyang Yu, Mohammed Alquraishi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:460-476
Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry
Mohammed Adnan, Rohan Jain, Ekansh Sharma, Rahul Krishnan, Yani Ioannou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:477-498
Design Considerations in Offline Preference-based RL
Alekh Agarwal, Christoph Dann, Teodor Vanislavov Marinov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:499-512
Optimal Fair Learning Robust to Adversarial Distribution Shift
Sushant Agarwal, Amit Deshpande, Rajmohan Rajaraman, Ravi Sundaram; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:513-530
FedECADO: A Dynamical System Model of Federated Learning
Aayushya Agarwal, Gauri Joshi, Lawrence Pileggi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:531-549
The Missing Alignment Link of In-context Learning on Sequences
Harshvardhan Agarwal, Sunita Sarawagi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:550-565
Proto Successor Measure: Representing the Behavior Space of an RL Agent
Siddhant Agarwal, Harshit Sikchi, Peter Stone, Amy Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:566-586
AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement
Pranjal Aggarwal, Bryan Parno, Sean Welleck; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:587-615
NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits
Tushar Aggarwal, Swayam Singh, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:616-638
FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch
Virginia Aglietti, Ira Ktena, Jessica Schrouff, Eleni Sgouritsa, Francisco Ruiz, Alan Malek, Alexis Bellot, Silvia Chiappa; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:639-661
Understanding the difficulties of posterior predictive estimation
Abhinav Agrawal, Justin Domke; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:662-702
Optimal Sensor Scheduling and Selection for Continuous-Discrete Kalman Filtering with Auxiliary Dynamics
Mohamad Al Ahdab, John Leth, Zheng-Hua Tan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:703-729
Online Laplacian-Based Representation Learning in Reinforcement Learning
Maheed H. Ahmed, Jayanth Bhargav, Mahsa Ghasemi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:730-751
Otter: Generating Tests from Issues to Validate SWE Patches
Toufique Ahmed, Jatin Ganhotra, Rangeet Pan, Avraham Shinnar, Saurabh Sinha, Martin Hirzel; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:752-771
General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization
Kwangjun Ahn, Gagik Magakyan, Ashok Cutkosky; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:772-795
GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model
Zixiang Ai, Zichen Liu, Yuanhang Lei, Zhenyu Cui, Xu Zou, Jiahuan Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:796-808
Vision Graph Prompting via Semantic Low-Rank Decomposition
Zixiang Ai, Zichen Liu, Jiahuan Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:809-821
An Instrumental Value for Data Production and its Application to Data Pricing
Rui Ai, Boxiang Lyu, Zhaoran Wang, Zhuoran Yang, Haifeng Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:822-856
Simple Path Structural Encoding for Graph Transformers
Louis Airale, Antonio Longa, Mattia Rigon, Andrea Passerini, Roberto Passerone; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:857-873
Implicit degree bias in the link prediction task
Rachith Aiyappa, Xin Wang, Munjung Kim, Ozgur Can Seckin, Yong-Yeol Ahn, Sadamori Kojaku; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:874-908
Nesterov Method for Asynchronous Pipeline Parallel Optimization
Thalaiyasingam Ajanthan, Sameera Ramasinghe, Yan Zuo, Gil Avraham, Alexander Long; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:909-924
When, Where and Why to Average Weights?
Niccolò Ajroldi, Antonio Orvieto, Jonas Geiping; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:925-941
The Surprising Effectiveness of Test-Time Training for Few-Shot Learning
Ekin Akyürek, Mehul Damani, Adam Zweiger, Linlu Qiu, Han Guo, Jyothish Pari, Yoon Kim, Jacob Andreas; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:942-963
A Tale of Two Structures: Do LLMs Capture the Fractal Complexity of Language?
Ibrahim Alabdulmohsin, Andreas Peter Steiner; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:964-1025
NETS: A Non-equilibrium Transport Sampler
Michael Samuel Albergo, Eric Vanden-Eijnden; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1026-1055
Prediction via Shapley Value Regression
Amr Alkhatib, Roman Bresson, Henrik Boström, Michalis Vazirgiannis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1056-1101
Differentiable Quadratic Optimization For the Maximum Independent Set Problem
Ismail Alkhouri, Cedric Le Denmat, Yingjie Li, Cunxi Yu, Jia Liu, Rongrong Wang, Alvaro Velasquez; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1102-1127
SITCOM: Step-wise Triple-Consistent Diffusion Sampling For Inverse Problems
Ismail Alkhouri, Shijun Liang, Cheng-Han Huang, Jimmy Dai, Qing Qu, Saiprasad Ravishankar, Rongrong Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1128-1158
Direct Motion Models for Assessing Generated Videos
Kelsey R Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Patrick Murphy, Joao Carreira, Sjoerd Van Steenkiste; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1159-1183
Towards Trustworthy Federated Learning with Untrusted Participants
Youssef Allouah, Rachid Guerraoui, John Stephan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1184-1227
Subgroups Matter for Robust Bias Mitigation
Anissa Alloula, Charles Jones, Ben Glocker, Bartlomiej Papiez; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1228-1249
Aligning Multimodal Representations through an Information Bottleneck
Antonio Almudévar, José Miguel Hernández-Lobato, Sameer Khurana, Ricard Marxer, Alfonso Ortega; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1250-1270
Disentangling and Integrating Relational and Sensory Information in Transformer Architectures
Awni Altabaa, John Lafferty; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1271-1297
Explaining the role of Intrinsic Dimensionality in Adversarial Training
Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Hassan Sajjad, Sanjay Chawla; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1298-1313
The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions
Gül Sena Altıntaş, Devin Kwok, Colin Raffel, David Rolnick; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1314-1342
Continuously Updating Digital Twins using Large Language Models
Harry Amad, Nicolás Astorga, Mihaela Van Der Schaar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1343-1366
Determinant Estimation under Memory Constraints and Neural Scaling Laws
Siavash Ameli, Chris Van Der Heide, Liam Hodgkinson, Fred Roosta, Michael W. Mahoney; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1367-1400
Training Flexible Models of Genetic Variant Effects from Functional Annotations using Accelerated Linear Algebra
Alan Nawzad Amin, Andres Potapczynski, Andrew Gordon Wilson; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1401-1418
Generalization and Robustness of the Tilted Empirical Risk
Gholamali Aminian, Amir R. Asadi, Tian Li, Ahmad Beirami, Gesine Reinert, Samuel N. Cohen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1419-1461
Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models
Ulzee An, Moonseong Jeong, Simon Austin Lee, Aditya Gorla, Yuzhe Yang, Sriram Sankararaman; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1462-1482
Graph-Based Algorithms for Diverse Similarity Search
Piyush Anand, Piotr Indyk, Ravishankar Krishnaswamy, Sepideh Mahabadi, Vikas C. Raykar, Kirankumar Shiragur, Haike Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1483-1504
Pixel-level Certified Explanations via Randomized Smoothing
Alaa Anani, Tobias Lorenz, Mario Fritz, Bernt Schiele; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1505-1533
Private Lossless Multiple Release
Joel Daniel Andersson, Lukas Retschmeier, Boel Nelson, Rasmus Pagh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1534-1553
A Reasoning-Based Approach to Cryptic Crossword Clue Solving
Martin Andrews, Sam Witteveen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1554-1573
Improving Multi-Class Calibration through Normalization-Aware Isotonic Techniques
Alon Arad, Saharon Rosset; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1574-1603
Online Conformal Prediction via Online Optimization
Felipe Areces, Christopher Mohri, Tatsunori Hashimoto, John Duchi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1604-1649
Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model
Kaito Ariu, Alexandre Proutiere, Se-Young Yun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1650-1689
Aligning LLMs by Predicting Preferences from User Writing Samples
Stéphane Aroca-Ouellette, Natalie Mackraz, Barry-John Theobald, Katherine Metcalf; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1690-1721
Gridded Transformer Neural Processes for Spatio-Temporal Data
Matthew Ashman, Cristiana Diaconu, Eric Langezaal, Adrian Weller, Richard E Turner; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1722-1761
LLMs can see and hear without any training
Kumar Ashutosh, Yossi Gandelsman, Xinlei Chen, Ishan Misra, Rohit Girdhar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1762-1776
Tracking The Best Expert Privately
Hilal Asi, Vinod Raman, Aadirupa Saha; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1777-1795
Faster Rates for Private Adversarial Bandits
Hilal Asi, Vinod Raman, Kunal Talwar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1796-1832
Improving the Scaling Laws of Synthetic Data with Deliberate Practice
Reyhane Askari-Hemmat, Mohammad Pezeshki, Elvis Dohmatob, Florian Bordes, Pietro Astolfi, Melissa Hall, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1833-1863
Autoformulation of Mathematical Optimization Models Using LLMs
Nicolás Astorga, Tennison Liu, Yuanzhang Xiao, Mihaela Van Der Schaar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1864-1886
Risk and cross validation in ridge regression with correlated samples
Alexander Atanasov, Jacob A Zavatone-Veth, Cengiz Pehlevan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1887-1930
Faster Stochastic Optimization with Arbitrary Delays via Adaptive Asynchronous Mini-Batching
Amit Attia, Ofir Gaash, Tomer Koren; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1931-1949
PAC Learning with Improvements
Idan Attias, Avrim Blum, Keziah Naggita, Donya Saless, Dravyansh Sharma, Matthew Walter; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1950-1981
The Global Convergence Time of Stochastic Gradient Descent in Non-Convex Landscapes: Sharp Estimates via Large Deviations
Waı̈ss Azizian, Franck Iutzeler, Jerome Malick, Panayotis Mertikopoulos; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:1982-2044
Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective
Steve Azzolin, Sagar Malhotra, Andrea Passerini, Stefano Teso; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2045-2080
Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models
Zahra Babaiee, Peyman Kiasari, Daniela Rus, Radu Grosu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2081-2113
Near-Optimal Decision Trees in a SPLIT Second
Varun Babbar, Hayden Mctavish, Cynthia Rudin, Margo Seltzer; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2114-2175
Adaptive Estimation and Learning under Temporal Distribution Shift
Dheeraj Baby, Yifei Tang, Hieu Duy Nguyen, Yu-Xiang Wang, Rohit Pyati; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2176-2202
Contract Design Under Approximate Best Responses
Francesco Bacchiocchi, Jiarui Gan, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2203-2220
Sampling Binary Data by Denoising through Score Functions
Francis Bach, Saeed Saremi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2221-2240
FlexTok: Resampling Images into 1D Token Sequences of Flexible Length
Roman Bachmann, Jesse Allardice, David Mizrahi, Enrico Fini, Oğuzhan Fatih Kar, Elmira Amirloo, Alaaeldin El-Nouby, Amir Zamir, Afshin Dehghan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2241-2292
A Parametric Contextual Online Learning Theory of Brokerage
François Bachoc, Tommaso Cesari, Roberto Colomboni; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2293-2309
Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models
Saketh Bachu, Erfan Shayegani, Rohit Lal, Trishna Chakraborty, Arindam Dutta, Chengyu Song, Yue Dong, Nael B. Abu-Ghazaleh, Amit Roy-Chowdhury; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2310-2334
Positional Attention: Expressivity and Learnability of Algorithmic Computation
Artur Back De Luca, George Giapitzakis, Shenghao Yang, Petar Veličković, Kimon Fountoulakis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2335-2390
Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning
Seungho Baek, Taegeon Park, Jongchan Park, Seungjun Oh, Yusung Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2391-2408
Active Fine-Tuning of Multi-Task Policies
Marco Bagatella, Jonas Hübotter, Georg Martius, Andreas Krause; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2409-2441
SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds
Ali Bahri, Moslem Yazdanpanah, Sahar Dastani, Mehrdad Noori, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2442-2457
Impossible Videos
Zechen Bai, Hai Ci, Mike Zheng Shou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2458-2483
KoNODE: Koopman-Driven Neural Ordinary Differential Equations with Evolving Parameters for Time Series Analysis
Hanru Bai, Weiyang Ding; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2484-2519
SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantization
Runsheng Bai, Bo Liu, Qiang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2520-2534
Multivariate Conformal Selection
Tian Bai, Yue Zhao, Xiang Yu, Archer Y. Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2535-2559
Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation
Shuanghao Bai, Wanqi Zhou, Pengxiang Ding, Wei Zhao, Donglin Wang, Badong Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2560-2580
Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage
Konstantina Bairaktari, Jiayun Wu, Steven Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2581-2602
Fixing the Loose Brake: Exponential-Tailed Stopping Time in Best Arm Identification
Kapilan Balagopalan, Ngo Tuan Nguyen, Yao Zhao, Kwang-Sung Jun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2603-2645
InfAlign: Inference-aware language model alignment
Ananth Balashankar, Ziteng Sun, Jonathan Berant, Jacob Eisenstein, Michael Collins, Adrian Hutter, Jong Lee, Chirag Nagpal, Flavien Prost, Aradhana Sinha, Ananda Theertha Suresh, Ahmad Beirami; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2646-2672
Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models
Mehmet Yiğit Balık, Maksim Sinelnikov, Priscilla Ong, Harri Lähdesmäki; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2673-2696
Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning
Vicente Balmaseda, Bokun Wang, Ching-Long Lin, Tianbao Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2697-2714
Causal Discovery from Conditionally Stationary Time Series
Carles Balsells-Rodas, Xavier Sumba, Tanmayee Narendra, Ruibo Tu, Gabriele Schweikert, Hedvig Kjellstrom, Yingzhen Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2715-2741
MathConstruct: Challenging LLM Reasoning with Constructive Proofs
Mislav Balunovic, Jasper Dekoninck, Nikola Jovanović, Ivo Petrov, Martin Vechev; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2742-2769
On Measuring Long-Range Interactions in Graph Neural Networks
Jacob Bamberger, Benjamin Gutteridge, Scott Le Roux, Michael M. Bronstein, Xiaowen Dong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2770-2789
Polynomial Time Learning Augmented Algorithms for NP-hard Permutation Problems
Evripidis Bampis, Bruno Escoffier, Dimitris Fotakis, Panagiotis Patsilinakos, Michalis Xefteris; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2790-2800
Differentiable Structure Learning with Ancestral Constraints
Taiyu Ban, Changxin Rong, Xiangyu Wang, Lyuzhou Chen, Xin Wang, Derui Lyu, Qinrui Zhu, Huanhuan Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2801-2835
CRANE: Reasoning with constrained LLM generation
Debangshu Banerjee, Tarun Suresh, Shubham Ugare, Sasa Misailovic, Gagandeep Singh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2836-2857
BounDr.E: Predicting Drug-likeness via Biomedical Knowledge Alignment and EM-like One-Class Boundary Optimization
Dongmin Bang, Inyoung Sung, Yinhua Piao, Sangseon Lee, Sun Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2858-2893
Fully Dynamic Embedding into $\ell_p$ Spaces
Kiarash Banihashem, Xiang Chen, Mohammadtaghi Hajiaghayi, Sungchul Kim, Kanak Mahadik, Ryan A. Rossi, Tong Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2894-2909
Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability
Jie Bao, Chuangyin Dang, Rui Luo, Hanwei Zhang, Zhixin Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2910-2929
Visual and Domain Knowledge for Professional-level Graph-of-Thought Medical Reasoning
Rina Bao, Shilong Dong, Zhenfang Chen, Sheng He, Ellen Grant, Yangming Ou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2930-2952
QEM-Bench: Benchmarking Learning-based Quantum Error Mitigation and QEMFormer as a Multi-ranged Context Learning Baseline
Tianyi Bao, Ruizhe Zhong, Xinyu Ye, Yehui Tang, Junchi Yan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2953-2967
Ehrenfeucht-Haussler Rank and Chain of Thought
Pablo Barcelo, Alexander Kozachinskiy, Tomasz Steifer; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2968-2977
Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning
Brett Barkley, David Fridovich-Keil; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:2978-3002
Feature Shift Localization Network
Mı́riam Barrabés, Daniel Mas Montserrat, Kapal Dev, Alexander G. Ioannidis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3003-3029
On Volume Minimization in Conformal Regression
Batiste Le Bars, Pierre Humbert; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3030-3053
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
Grigory Bartosh, Dmitry Vetrov, Christian A. Naesseth; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3054-3070
A Certified Unlearning Approach without Access to Source Data
Umit Yigit Basaran, Sk Miraj Ahmed, Amit Roy-Chowdhury, Basak Guler; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3071-3090
Robust Conformal Outlier Detection under Contaminated Reference Data
Meshi Bashari, Matteo Sesia, Yaniv Romano; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3091-3141
What makes an Ensemble (Un) Interpretable?
Shahaf Bassan, Guy Amir, Meirav Zehavi, Guy Katz; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3142-3201
Explaining, Fast and Slow: Abstraction and Refinement of Provable Explanations
Shahaf Bassan, Yizhak Yisrael Elboher, Tobias Ladner, Matthias Althoff, Guy Katz; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3202-3225
Competing Bandits in Matching Markets via Super Stability
Soumya Basu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3226-3250
Zero Shot Generalization of Vision-Based RL Without Data Augmentation
Sumeet Batra, Gaurav S. Sukhatme; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3251-3273
Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers
Alireza Amiri Bavandpour, Xinting Huang, Mark Rofin, Michael Hahn; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3274-3306
Grokking at the Edge of Linear Separability
Alon Beck, Noam Itzhak Levi, Yohai Bar-Sinai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3307-3334
xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference
Maximilian Beck, Korbinian Pöppel, Phillip Lippe, Richard Kurle, Patrick M Blies, Günter Klambauer, Sebastian Böck, Sepp Hochreiter; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3335-3357
RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression
Payman Behnam, Yaosheng Fu, Ritchie Zhao, Po-An Tsai, Zhiding Yu, Alexey Tumanov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3358-3392
Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning
Armin Behnamnia, Gholamali Aminian, Alireza Aghaei, Chengchun Shi, Vincent Tan, Hamid R. Rabiee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3393-3472
Correlation Clustering Beyond the Pivot Algorithm
Soheil Behnezhad, Moses Charikar, Vincent Cohen-Addad, Alma Ghafari, Weiyun Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3473-3499
Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers
Freya Behrens, Luca Biggio, Lenka Zdeborova; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3500-3532
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models
Ali Behrouz, Ali Parviz, Mahdi Karami, Clayton Sanford, Bryan Perozzi, Vahab Mirrokni; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3533-3561
Joint Metric Space Embedding by Unbalanced Optimal Transport with Gromov–Wasserstein Marginal Penalization
Florian Beier, Moritz Piening, Robert Beinert, Gabriele Steidl; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3562-3579
Theoretical guarantees on the best-of-n alignment policy
Ahmad Beirami, Alekh Agarwal, Jonathan Berant, Alexander D’Amour, Jacob Eisenstein, Chirag Nagpal, Ananda Theertha Suresh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3580-3602
The Generalized Skew Spectrum of Graphs
Armando Bellante, Martin Plávala, Alessandro Luongo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3603-3622
The Limits of Predicting Agents from Behaviour
Alexis Bellot, Jonathan Richens, Tom Everitt; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3623-3658
Distilling the Knowledge in Data Pruning
Emanuel Ben Baruch, Adam Botach, Igor Kviatkovsky, Manoj Aggarwal, Gerard Medioni; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3659-3676
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling
Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin, Théo Bontempelli, Thomas Bouabça, Tristan Cazenave; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3677-3711
A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features
Ihab Bendidi, Yassir El Mesbahi, Alisandra Kaye Denton, Karush Suri, Kian Kenyon-Dean, Auguste Genovesio, Emmanuel Noutahi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3712-3730
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting
Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3731-3748
Contextual Optimization Under Model Misspecification: A Tractable and Generalizable Approach
Omar Bennouna, Jiawei Zhang, Saurabh Amin, Asuman E. Ozdaglar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3749-3775
Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search
Ziyad Benomar, Lorenzo Croissant, Vianney Perchet, Spyros Angelopoulos; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3776-3805
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs
Akhiad Bercovich, Tomer Ronen, Talor Abramovich, Nir Ailon, Nave Assaf, Mohammed Dabbah, Ido Galil, Amnon Geifman, Yonatan Geifman, Izhak Golan, Netanel Haber, Ehud Dov Karpas, Roi Koren, Itay Levy, Pavlo Molchanov, Shahar Mor, Zach Moshe, Najeeb Nabwani, Omri Puny, Ran Rubin, Itamar Schen, Ido Shahaf, Oren Tropp, Omer Ullman Argov, Ran Zilberstein, Ran El-Yaniv; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3806-3830
Memory Layers at Scale
Vincent-Pierre Berges, Barlas Oguz, Daniel Haziza, Wen-Tau Yih, Luke Zettlemoyer, Gargi Ghosh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3831-3842
Global curvature for second-order optimization of neural networks
Alberto Bernacchia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3843-3876
No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization
Martino Bernasconi, Matteo Castiglioni, Andrea Celli; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3877-3898
Online Learning in the Random-Order Model
Martino Bernasconi, Andrea Celli, Riccardo Colini Baldeschi, Federico Fusco, Stefano Leonardi, Matteo Russo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3899-3919
Modular Duality in Deep Learning
Jeremy Bernstein, Laker Newhouse; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3920-3930
Differential Privacy Guarantees of Markov Chain Monte Carlo Algorithms
Andrea Bertazzi, Tim Johnston, Gareth O. Roberts, Alain Oliviero Durmus; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3931-3951
Self-Play $Q$-Learners Can Provably Collude in the Iterated Prisoner’s Dilemma
Quentin Bertrand, Juan Agustin Duque, Emilio Calvano, Gauthier Gidel; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3952-3975
Geometry-Informed Neural Networks
Arturs Berzins, Andreas Radler, Eric Volkmann, Sebastian Sanokowski, Sepp Hochreiter, Johannes Brandstetter; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:3976-4004
Near-optimal Sketchy Natural Gradients for Physics-Informed Neural Networks
Maricela Best Mckay, Avleen Kaur, Chen Greif, Brian Wetton; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4005-4019
Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection
Louis Béthune, David Grangier, Dan Busbridge, Eleonora Gualdoni, Marco Cuturi, Pierre Ablin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4020-4042
Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs
Jan Betley, Daniel Chee Hian Tan, Niels Warncke, Anna Sztyber-Betley, Xuchan Bao, Martı́n Soto, Nathan Labenz, Owain Evans; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4043-4068
Whitened CLIP as a Likelihood Surrogate of Images and Captions
Roy Betser, Meir Yossef Levi, Guy Gilboa; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4069-4095
Highly Compressed Tokenizer Can Generate Without Training
Lukas Lao Beyer, Tianhong Li, Xinlei Chen, Sertac Karaman, Kaiming He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4096-4114
Auto-reconfiguration for Latency Minimization in CPU-based DNN Serving
Ankit Bhardwaj, Amar Phanishayee, Deepak Narayanan, Ryan Stutsman; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4115-4129
Multiaccuracy and Multicalibration via Proxy Groups
Beepul Bharti, Mary Versa Clemens-Sewall, Paul Yi, Jeremias Sulam; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4130-4152
AtlasD: Automatic Local Symmetry Discovery
Manu Bhat, Jonghyun Park, Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4153-4171
Multi-Objective Causal Bayesian Optimization
Shriya Bhatija, Paul-David Zuercher, Jakob Thumm, Thomas Bohné; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4172-4195
Almost Optimal Fully Dynamic $k$-Center Clustering with Recourse
Sayan Bhattacharya, Martin Costa, Ermiya Farokhnejad, Silvio Lattanzi, Nikos Parotsidis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4196-4209
Learning multivariate Gaussians with imperfect advice
Arnab Bhattacharyya, Davin Choo, Philips George John, Themis Gouleakis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4210-4252
Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning
Zhenni Bi, Kai Han, Chuanjian Liu, Yehui Tang, Yunhe Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4253-4267
Rethinking Point Cloud Data Augmentation: Topologically Consistent Deformation
Jian Bi, Qianliang Wu, Xiang Li, Shuo Chen, Jianjun Qian, Lei Luo, Jian Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4268-4288
IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck
Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4289-4302
Scaling Inference-Efficient Language Models
Song Bian, Minghao Yan, Shivaram Venkataraman; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4303-4323
Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism
Aviv Bick, Eric Xing, Albert Gu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4324-4344
Rethinking Aleatoric and Epistemic Uncertainty
Freddie Bickford Smith, Jannik Kossen, Eleanor Trollope, Mark Van Der Wilk, Adam Foster, Tom Rainforth; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4345-4359
DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing
Alexander Bienstock, Ujjwal Kumar, Antigoni Polychroniadou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4360-4383
The dark side of the forces: assessing non-conservative force models for atomistic machine learning
Filippo Bigi, Marcel F. Langer, Michele Ceriotti; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4384-4414
Learning Likelihood-Free Reference Priors
Nicholas George Bishop, Daniel Jarne Ornia, Joel Dyer, Ani Calinescu, Michael J. Wooldridge; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4415-4434
ENSUR: Equitable and Statistically Unbiased Recommendation
Nitin Bisht, Xiuwen Gong, Guandong Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4435-4454
Universal Approximation of Mean-Field Models via Transformers
Shiba Biswal, Karthik Elamvazhuthi, Rishi Sonthalia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4455-4470
False Coverage Proportion Control for Conformal Prediction
Alexandre Blain, Bertrand Thirion, Pierre Neuvial; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4471-4481
Physics-Informed DeepONets for drift-diffusion on metric graphs: simulation and parameter identification
Jan Blechschmidt, Tom-Christian Riemer, Max Winkler, Martin Stoll, Jan-Frederik Pietschmann; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4482-4506
GaussMark: A Practical Approach for Structural Watermarking of Language Models
Adam Block, Alexander Rakhlin, Ayush Sekhari; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4507-4569
Probably Approximately Global Robustness Certification
Peter Blohm, Patrick Indri, Thomas Gärtner, Sagar Malhotra; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4570-4587
Point Cloud Dataset Distillation
Deyu Bo, Xinchao Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4588-4601
Physics-Informed Generative Modeling of Wireless Channels
Benedikt Böck, Andreas Oeldemann, Timo Mayer, Francesco Rossetto, Wolfgang Utschick; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4602-4626
Generative Social Choice: The Next Generation
Niclas Boehmer, Sara Fish, Ariel D. Procaccia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4627-4659
Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound
David Boetius, Stefan Leue, Tobias Sutter; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4660-4699
A Variational Perspective on Generative Protein Fitness Optimization
Lea Bogensperger, Dominik Narnhofer, Ahmed Allam, Konrad Schindler, Michael Krauthammer; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4700-4712
Simple and Critical Iterative Denoising: A Recasting of Discrete Diffusion in Graph Generation
Yoann Boget; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4713-4736
DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra
Montgomery Bohde, Mrunali Manjrekar, Runzhong Wang, Shuiwang Ji, Connor W. Coley; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4737-4756
An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures
Thibaut Boissin, Franck Mamalet, Thomas Fel, Agustin Martin Picard, Thomas Massena, Mathieu Serrurier; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4757-4790
Temporal Misalignment in ANN-SNN Conversion and its Mitigation via Probabilistic Spiking Neurons
Velibor Bojkovic, Xiaofeng Wu, Bin Gu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4791-4822
Flopping for FLOPs: Leveraging Equivariance for Computational Efficiency
Georg Bökman, David Nordström, Fredrik Kahl; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4823-4838
Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization
Simone Bombari, Marco Mondelli; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4839-4873
Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale
Rogerio Bonatti, Dan Zhao, Francesco Bonacci, Dillon Dupont, Sara Abdali, Yinheng Li, Yadong Lu, Justin Wagle, Kazuhito Koishida, Arthur Bucker, Lawrence Keunho Jang, Zheng Hui; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4874-4910
Flowing Datasets with Wasserstein over Wasserstein Gradient Flows
Clément Bonet, Christophe Vauthier, Anna Korba; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4911-4967
Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer
Blake Bordelon, Cengiz Pehlevan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4968-4997
How Much Can We Forget about Data Contamination?
Sebastian Bordt, Suraj Srinivas, Valentyn Boreiko, Ulrike Von Luxburg; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:4998-5016
An Interpretable N-gram Perplexity Threat Model for Large Language Model Jailbreaks
Valentyn Boreiko, Alexander Panfilov, Vaclav Voracek, Matthias Hein, Jonas Geiping; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5017-5044
On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms
Ekaterina Borodich, Alexander Gasnikov, Dmitry Kovalev; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5045-5100
Reinforcement Learning with Random Time Horizons
Enric Ribera Borrell, Lorenz Richter, Christof Schuette; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5101-5123
On the Query Complexity of Verifier-Assisted Language Generation
Edoardo Botta, Yuchen Li, Aashay Mehta, Jordan T. Ash, Cyril Zhang, Andrej Risteski; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5124-5155
Quantifying Treatment Effects: Estimating Risk Ratios via Observational Studies
Ahmed Boughdiri, Julie Josse, Erwan Scornet; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5156-5217
Learning to Match Unpaired Data with Minimum Entropy Coupling
Mustapha Bounoua, Giulio Franzese, Pietro Michiardi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5218-5240
Simplicity Bias and Optimization Threshold in Two-Layer ReLU Networks
Etienne Boursier, Nicolas Flammarion; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5241-5275
AutoEval Done Right: Using Synthetic Data for Model Evaluation
Pierre Boyeau, Anastasios Nikolas Angelopoulos, Tianle Li, Nir Yosef, Jitendra Malik, Michael I. Jordan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5276-5290
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
Toby Boyne, Jose Pablo Folch, Robert Matthew Lee, Behrang Shafei, Ruth Misener; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5291-5318
Mechanisms of Projective Composition of Diffusion Models
Arwen Bradley, Preetum Nakkiran, David Berthelot, James Thornton, Joshua M. Susskind; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5319-5354
Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks
Lukas Braun, Erin Grant, Andrew M Saxe; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5355-5382
DEFAME: Dynamic Evidence-based FAct-checking with Multimodal Experts
Tobias Braun, Mark Rothermel, Marcus Rohrbach, Anna Rohrbach; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5383-5417
Relative Error Fair Clustering in the Weak-Strong Oracle Model
Vladimir Braverman, Prathamesh Dharangutte, Shaofeng H.-C. Jiang, Hoai-An Nguyen, Chen Wang, Yubo Zhang, Samson Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5418-5453
Learning-Augmented Hierarchical Clustering
Vladimir Braverman, Jon C. Ergun, Chen Wang, Samson Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5454-5507
Integer Programming for Generalized Causal Bootstrap Designs
Jennifer Rogers Brennan, Sebastien Lahaie, Adel Javanmard, Nick Doudchenko, Jean Pouget-Abadie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5508-5530
E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time
Adam Breuer; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5531-5557
Cross-regularization: Adaptive Model Complexity through Validation Gradients
Carlos Stein Brito; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5558-5577
The Limits of Tractable Marginalization
Oliver Broadrick, Sanyam Agarwal, Guy Van Den Broeck, Markus Bläser; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5578-5593
Robust Noise Attenuation via Adaptive Pooling of Transformer Outputs
Greyson Brothers; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5594-5614
Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series
Zachary C. Brown, David Carlson; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5615-5648
Ergodic Generative Flows
Leo Maxime Brunswic, Mateo Clémente, Rui Heng Yang, Adam Sigal, Amir Rasouli, Yinchuan Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5649-5668
Provable In-Context Vector Arithmetic via Retrieving Task Concepts
Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Qingfu Zhang, Hau-San Wong, Taiji Suzuki; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5669-5724
What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities
Wendong Bu, Yang Wu, Qifan Yu, Minghe Gao, Bingchen Miao, Zhenkui Zhang, Kaihang Pan, Yunfei Li, Mengze Li, Wei Ji, Juncheng Li, Siliang Tang, Yueting Zhuang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5725-5748
NEAR: Neural Electromagnetic Array Response
Yinyan Bu, Jiajie Yu, Kai Zheng, Xinyu Zhang, Piya Pal; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5749-5774
ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation
Tianci Bu, Le Zhou, Wenchuan Yang, Jianhong Mou, Kang Yang, Suoyi Tan, Feng Yao, Jingyuan Wang, Xin Lu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5775-5792
Competitively Consistent Clustering
Niv Buchbinder, Roie Levin, Yue Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5793-5810
O-MAPL: Offline Multi-agent Preference Learning
The Viet Bui, Tien Anh Mai, Thanh Hong Nguyen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5811-5841
Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning
Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Zhitao Ying, Neil Shah, Tong Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5842-5855
Understanding and Improving Length Generalization in Recurrent Models
Ricardo Buitrago, Albert Gu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5856-5874
Deep Reinforcement Learning from Hierarchical Preference Design
Alexander Bukharin, Yixiao Li, Pengcheng He, Tuo Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5875-5893
Accurate and Efficient World Modeling with Masked Latent Transformers
Maxime Burchi, Radu Timofte; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5894-5912
Distributed Differentially Private Data Analytics via Secure Sketching
Jakob Burkhardt, Hannah Keller, Claudio Orlandi, Chris Schwiegelshohn; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5913-5942
Nearly Optimal Sample Complexity for Learning with Label Proportions
Robert Istvan Busa-Fekete, Travis Dick, Claudio Gentile, Haim Kaplan, Tomer Koren, Uri Stemmer; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5943-5976
Distillation Scaling Laws
Dan Busbridge, Amitis Shidani, Floris Weers, Jason Ramapuram, Etai Littwin, Russell Webb; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:5977-6045
Where is the Truth? The Risk of Getting Confounded in a Continual World
Florian Peter Busch, Roshni Ramanna Kamath, Rupert Mitchell, Wolfgang Stammer, Kristian Kersting, Martin Mundt; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6046-6076
Learning Multi-Level Features with Matryoshka Sparse Autoencoders
Bart Bussmann, Noa Nabeshima, Adam Karvonen, Neel Nanda; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6077-6101
On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization
Undral Byambadalai, Tomu Hirata, Tatsushi Oka, Shota Yasui; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6102-6125
Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales
Ju-Seung Byun, Andrew Perrault; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6126-6148
Learning curves theory for hierarchically compositional data with power-law distributed features
Francesco Cagnetta, Hyunmo Kang, Matthieu Wyart; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6149-6164
GEFA: A General Feature Attribution Framework Using Proxy Gradient Estimation
Yi Cai, Thibaud Ardoin, Gerhard Wunder; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6165-6192
HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks
Tingyi Cai, Yunliang Jiang, Ming Li, Lu Bai, Changqin Huang, Yi Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6193-6210
Shortcut-connected Expert Parallelism for Accelerating Mixture of Experts
Weilin Cai, Juyong Jiang, Le Qin, Junwei Cui, Sunghun Kim, Jiayi Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6211-6228
From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection
Lincan Cai, Jingxuan Kang, Shuang Li, Wenxuan Ma, Binhui Xie, Zhida Qin, Jian Liang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6229-6242
Robot-Gated Interactive Imitation Learning with Adaptive Intervention Mechanism
Haoyuan Cai, Zhenghao Peng, Bolei Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6243-6256
Targeted Unlearning with Single Layer Unlearning Gradient
Zikui Cai, Yaoteng Tan, M. Salman Asif; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6257-6290
Attention-Level Speculation
Jack Cai, Ammar Vora, Randolph Zhang, Mark O’Connor, Mark C. Jeffrey; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6291-6318
Fast and Provable Algorithms for Sparse PCA with Improved Sample Complexity
Jian-Feng Cai, Zhuozhi Xian, Jiaxi Ying; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6319-6340
Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts
Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6341-6365
Understanding the Limits of Deep Tabular Methods with Temporal Shift
Haorun Cai, Han-Jia Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6366-6386
Self-Discriminative Modeling for Anomalous Graph Detection
Jinyu Cai, Yunhe Zhang, Jicong Fan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6387-6408
Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection
Jinyu Cai, Yunhe Zhang, Fusheng Liu, See-Kiong Ng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6409-6425
Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks
Yuhang Cai, Kangjie Zhou, Jingfeng Wu, Song Mei, Michael Lindsey, Peter Bartlett; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6426-6504
From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs
Ang Cao, Sergio Arnaud, Oleksandr Maksymets, Jianing Yang, Ayush Jain, Ada Martin, Vincent-Pierre Berges, Paul Mcvay, Ruslan Partsey, Aravind Rajeswaran, Franziska Meier, Justin Johnson, Jeong Joon Park, Alexander Sax; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6505-6521
Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow
Zhonglin Cao, Mario Geiger, Allan Dos Santos Costa, Danny Reidenbach, Karsten Kreis, Tomas Geffner, Franco Pellegrini, Guoqing Zhou, Emine Kucukbenli; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6522-6542
EFDTR: Learnable Elliptical Fourier Descriptor Transformer for Instance Segmentation
Jiawei Cao, Chaochen Gu, Hao Cheng, Xiaofeng Zhang, Kaijie Wu, Changsheng Lu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6543-6553
Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
Yuefan Cao, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Jiahao Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6554-6576
Adversarial Robust Generalization of Graph Neural Networks
Chang Cao, Han Li, Yulong Wang, Rui Wu, Hong Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6577-6614
AGAV-Rater: Adapting Large Multimodal Model for AI-Generated Audio-Visual Quality Assessment
Yuqin Cao, Xiongkuo Min, Yixuan Gao, Wei Sun, Guangtao Zhai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6615-6633
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning
Qingqing Cao, Mahyar Najibi, Sachin Mehta; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6634-6653
Open-Det: An Efficient Learning Framework for Open-Ended Detection
Guiping Cao, Tao Wang, Wenjian Huang, Xiangyuan Lan, Jianguo Zhang, Dongmei Jiang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6654-6674
MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product
Muyang Cao, Jiajun Yu, Xin Du, Gang Pan, Wei Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6675-6698
Prediction-Aware Learning in Multi-Agent Systems
Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I. Jordan, Alain Oliviero Durmus; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6699-6725
Learning Safe Control via On-the-Fly Bandit Exploration
Alexandre Capone, Ryan Kazuo Cosner, Aaron Ames, Sandra Hirche; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6726-6745
AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling
Alexander Capstick, Rahul Krishnan, Payam Barnaghi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6746-6777
AutoAdvExBench: Benchmarking Autonomous Exploitation of Adversarial Example Defenses
Nicholas Carlini, Edoardo Debenedetti, Javier Rando, Milad Nasr, Florian Tramèr; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6778-6793
Signed Laplacians for Constrained Graph Clustering
John Stewart Fabila Carrasco, He Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6794-6810
Low-Rank Thinning
Annabelle Michael Carrell, Albert Gong, Abhishek Shetty, Raaz Dwivedi, Lester Mackey; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6811-6848
Discovering Symbolic Cognitive Models from Human and Animal Behavior
Pablo Samuel Castro, Nenad Tomasev, Ankit Anand, Navodita Sharma, Rishika Mohanta, Aparna Dev, Kuba Perlin, Siddhant Jain, Kyle Levin, Noemi Elteto, Will Dabney, Alexander Novikov, Glenn C Turner, Maria K Eckstein, Nathaniel D. Daw, Kevin J Miller, Kim Stachenfeld; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6849-6890
A Theoretical Framework For Overfitting In Energy-based Modeling
Giovanni Catania, Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6891-6919
The impact of uncertainty on regularized learning in games
Pierre-Louis Cauvin, Davide Legacci, Panayotis Mertikopoulos; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6920-6957
DIME: Diffusion-Based Maximum Entropy Reinforcement Learning
Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palenicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6958-6977
A Mathematical Framework for AI-Human Integration in Work
L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:6978-7012
Tackling View-Dependent Semantics in 3D Language Gaussian Splatting
Jiazhong Cen, Xudong Zhou, Jiemin Fang, Changsong Wen, Lingxi Xie, Xiaopeng Zhang, Wei Shen, Qi Tian; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7013-7034
Large Language Models to Diffusion Finetuning
Edoardo Cetin, Tianyu Zhao, Yujin Tang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7035-7057
Variational Learning of Fractional Posteriors
Kian Ming A. Chai, Edwin V. Bonilla; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7058-7088
Transfer Q-Learning with Composite MDP Structures
Jinhang Chai, Elynn Chen, Lin Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7089-7106
On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness
Junyi Chai, Taeuk Jang, Jing Gao, Xiaoqian Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7107-7130
TabSDS: a Lightweight, Fully Non-Parametric, and Model Free Approach for Generating Synthetic Tabular Data
Elias Chaibub Neto; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7131-7195
SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval
Nikolaos Chaidos, Angeliki Dimitriou, Maria Lymperaiou, Giorgos Stamou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7196-7213
Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables
Arhit Chakrabarti, Yang Ni, Debdeep Pati, Bani Mallick; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7214-7249
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks
Biswadeep Chakraborty, Harshit Kumar, Saibal Mukhopadhyay; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7250-7275
RULEBREAKERS: Challenging LLMs at the Crossroads between Formal Logic and Human-like Reasoning
Jason Chan, Robert J. Gaizauskas, Zhixue Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7276-7305
Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions
Yik Siu Chan, Narutatsu Ri, Yuxin Xiao, Marzyeh Ghassemi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7306-7331
A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment
Edward Y Chang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7332-7350
LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation
Chen-Chia Chang, Wan-Hsuan Lin, Yikang Shen, Yiran Chen, Xin Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7351-7360
LV-XAttn: Distributed Cross-Attention for Long Visual Inputs in Multimodal Large Language Models
Tzu-Tao Chang, Shivaram Venkataraman; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7361-7373
LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models
Jinho Chang, Jong Chul Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7374-7392
Matrix Completion with Incomplete Side Information via Orthogonal Complement Projection
Gengshuo Chang, Wei Zhang, Lehan Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7393-7416
Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance
Guoqing Chao, Zhenghao Zhang, Lei Meng, Jie Wen, Dianhui Chu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7417-7429
Branches: Efficiently Seeking Optimal Sparse Decision Trees via AO*
Ayman Chaouki, Jesse Read, Albert Bifet; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7430-7484
Text-to-LoRA: Instant Transformer Adaption
Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7485-7514
Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics
Herman Chau, Helen Jenne, Davis Brown, Jesse He, Mark Raugas, Sara C. Billey, Henry Kvinge; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7515-7554
A Closer Look at Multimodal Representation Collapse
Abhra Chaudhuri, Anjan Dutta, Tu Bui, Serban Georgescu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7555-7577
Upcycling Text-to-Image Diffusion Models for Multi-Task Capabilities
Ruchika Chavhan, Abhinav Mehrotra, Malcolm Chadwick, Alberto Gil Couto Pimentel Ramos, Luca Morreale, Mehdi Noroozi, Sourav Bhattacharya; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7578-7594
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
Hila Chefer, Uriel Singer, Amit Zohar, Yuval Kirstain, Adam Polyak, Yaniv Taigman, Lior Wolf, Shelly Sheynin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7595-7616
Bounded Rationality for LLMs: Satisficing Alignment at Inference-Time
Mohamad Fares El Hajj Chehade, Soumya Suvra Ghosal, Souradip Chakraborty, Avinash Reddy, Dinesh Manocha, Hao Zhu, Amrit Singh Bedi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7617-7633
LEVIS: Large Exact Verifiable Input Spaces for Neural Networks
Mohamad Fares El Hajj Chehade, Wenting Li, Brian Wesley Bell, Russell Bent, Saif R. Kazi, Hao Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7634-7647
De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs
Samantha Chen, Pankaj K Agarwal, Yusu Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7648-7663
Learning Safety Constraints for Large Language Models
Xin Chen, Yarden As, Andreas Krause; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7664-7685
Concurrent Reinforcement Learning with Aggregated States via Randomized Least Squares Value Iteration
Yan Chen, Qinxun Bai, Yiteng Zhang, Maria Dimakopoulou, Shi Dong, Qi Sun, Zhengyuan Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7686-7718
Subobject-level Image Tokenization
Delong Chen, Samuel Cahyawijaya, Jianfeng Liu, Baoyuan Wang, Pascale Fung; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7719-7738
On the Power of Learning-Augmented Search Trees
Jingbang Chen, Xinyuan Cao, Alicia Stepin, Li Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7739-7762
A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle
Yu Chen, Nathalia Céspedes, Payam Barnaghi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7763-7780
Exploring Invariance in Images through One-way Wave Equations
Yinpeng Chen, Dongdong Chen, Xiyang Dai, Mengchen Liu, Yinan Feng, Youzuo Lin, Lu Yuan, Zicheng Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7781-7815
PASS: Private Attributes Protection with Stochastic Data Substitution
Yizhuo Chen, Chun-Fu Chen, Hsiang Hsu, Shaohan Hu, Tarek F. Abdelzaher; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7816-7839
Breaking Barriers: Combinatorial Algorithms for Non-Monotone Submodular Maximization with Sublinear Adaptivity and $1/e$ Approximation
Yixin Chen, Wenjing Chen, Alan Kuhnle; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7840-7879
Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs
Ziang Chen, Xiaohan Chen, Jialin Liu, Xinshang Wang, Wotao Yin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7880-7911
How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction
Jun Chen, Hong Chen, Yonghua Yu, Yiming Ying; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7912-7933
DLP: Dynamic Layerwise Pruning in Large Language Models
Yuli Chen, Bo Cheng, Jiale Han, Yingying Zhang, Yingting Li, Shuhao Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7934-7956
Scalable Private Partition Selection via Adaptive Weighting
Justin Y. Chen, Vincent Cohen-Addad, Alessandro Epasto, Morteza Zadimoghaddam; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7957-7981
SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning
Jinpeng Chen, Runmin Cong, Yuzhi Zhao, Hongzheng Yang, Guangneng Hu, Horace Ip, Sam Kwong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:7982-8001
KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors
Benson Chen, Tomasz Danel, Gabriel H. S. Dreiman, Patrick J. Mcenaney, Nikhil Jain, Kirill Novikov, Spurti Umesh Akki, Joshua L. Turnbull, Virja Atul Pandya, Boris P. Belotserkovskii, Jared Bryce Weaver, Ankita Biswas, Dat Nguyen, Kent Gorday, Mohammad Sultan, Nathaniel Stanley, Daniel M Whalen, Divya Kanichar, Christoph Klein, Emily Fox, R. Edward Watts; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8002-8021
Exogenous Isomorphism for Counterfactual Identifiability
Yikang Chen, Dehui Du; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8022-8064
Efficient Core-set Selection for Deep Learning Through Squared Loss Minimization
Jianting Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8065-8076
Low-Rank Adapting Models for Sparse Autoencoders
Matthew Chen, Joshua Engels, Max Tegmark; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8077-8092
RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding
Guanzheng Chen, Qilong Feng, Jinjie Ni, Xin Li, Michael Qizhe Shieh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8093-8107
GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder
Shiming Chen, Dingjie Fu, Salman Khan, Fahad Shahbaz Khan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8108-8122
Volume-Aware Distance for Robust Similarity Learning
Shuo Chen, Chen Gong, Jun Li, Jian Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8123-8144
Masked Autoencoders Are Effective Tokenizers for Diffusion Models
Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8145-8171
Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning
Liang Chen, Xueting Han, Li Shen, Jing Bai, Kam-Fai Wong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8172-8183
CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance
Yongchao Chen, Yilun Hao, Yueying Liu, Yang Zhang, Chuchu Fan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8184-8211
AffinityFlow: Guided Flows for Antibody Affinity Maturation
Can Chen, Karla-Luise Herpoldt, Chenchao Zhao, Zichen Wang, Marcus D. Collins, Shang Shang, Ron Benson; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8212-8225
A Variational Framework for Improving Naturalness in Generative Spoken Language Models
Li-Wei Chen, Takuya Higuchi, Zakaria Aldeneh, Ahmed Hussen Abdelaziz, Alexander Rudnicky; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8226-8244
MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance
Zhixuan Chen, Xing Hu, Dawei Yang, Zukang Xu, Xu Chen, Zhihang Yuan, Sifan Zhou, Jiangyong Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8245-8260
Cross-City Latent Space Alignment for Consistency Region Embedding
Meng Chen, Hongwei Jia, Zechen Li, Wenzhen Jia, Kai Zhao, Hongjun Dai, Weiming Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8261-8274
Visual Generation Without Guidance
Huayu Chen, Kai Jiang, Kaiwen Zheng, Jianfei Chen, Hang Su, Jun Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8275-8295
RelGNN: Composite Message Passing for Relational Deep Learning
Tianlang Chen, Charilaos Kanatsoulis, Jure Leskovec; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8296-8312
ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning
Zhaorun Chen, Mintong Kang, Bo Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8313-8344
Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging
Weiyu Chen, James Kwok; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8345-8363
Language Models as Implicit Tree Search
Ziliang Chen, Zhao-Rong Lai, Yufeng Yang, Liangda Fang, Zhanfu Yang, Liang Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8364-8385
Contrastive Localized Language-Image Pre-Training
Hong-You Chen, Zhengfeng Lai, Haotian Zhang, Xinze Wang, Marcin Eichner, Keen You, Meng Cao, Bowen Zhang, Yinfei Yang, Zhe Gan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8386-8402
Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems
Botao Chen, Jongyeong Lee, Junya Honda; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8403-8426
Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation
Wei Chen, Shigui Li, Jiacheng Li, Junmei Yang, John Paisley, Delu Zeng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8427-8452
Fundamental Limits of Visual Autoregressive Transformers: Universal Approximation Abilities
Yifang Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8453-8479
Learning with Selectively Labeled Data from Multiple Decision-makers
Jian Chen, Zhehao Li, Xiaojie Mao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8480-8519
A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing
Yu Chen, Jing Lian, Zhaofei Yu, Jizhao Liu, Jisheng Dang, Gang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8520-8529
C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation
Guoxin Chen, Minpeng Liao, Peiying Yu, Dingmin Wang, Zile Qiao, Chao Yang, Xin Zhao, Kai Fan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8530-8551
Falcon: Fast Visuomotor Policies via Partial Denoising
Haojun Chen, Minghao Liu, Chengdong Ma, Xiaojian Ma, Zailin Ma, Huimin Wu, Yuanpei Chen, Yifan Zhong, Mingzhi Wang, Qing Li, Yaodong Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8552-8573
Deep Principal Support Vector Machines for Nonlinear Sufficient Dimension Reduction
Yinfeng Chen, Jin Liu, Rui Qiu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8574-8593
Retraining-free Merging of Sparse MoE via Hierarchical Clustering
I-Chun Chen, Hsu-Shen Liu, Wei-Fang Sun, Chen-Hao Chao, Yen-Chang Hsu, Chun-Yi Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8594-8620
Non-Asymptotic Length Generalization
Thomas Chen, Tengyu Ma, Zhiyuan Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8621-8682
Learnware Specification via Dual Alignment
Wei Chen, Jun-Xiang Mao, Xiaozheng Wang, Min-Ling Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8683-8699
ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics
Letian Chen, Nina Marie Moorman, Matthew Craig Gombolay; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8700-8725
TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models
Kangjie Chen, Li Muyang, Guanlin Li, Shudong Zhang, Shangwei Guo, Tianwei Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8726-8759
Nested Expectations with Kernel Quadrature
Zonghao Chen, Masha Naslidnyk, Francois-Xavier Briol; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8760-8793
Multiple-policy Evaluation via Density Estimation
Yilei Chen, Aldo Pacchiano, Ioannis Paschalidis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8794-8820
Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting
Min Chen, Guansong Pang, Wenjun Wang, Cheng Yan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8821-8855
Optimal Survey Design for Private Mean Estimation
Yu-Wei Chen, Raghu Pasupathy, Jordan Awan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8856-8870
An Effective and Secure Federated Multi-View Clustering Method with Information-Theoretic Perspective
Xinyue Chen, Jinfeng Peng, Yuhao Li, Xiaorong Pu, Yang Yang, Yazhou Ren; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8871-8889
DyCodeEval: Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination
Simin Chen, Pranav Pusarla, Baishakhi Ray; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8890-8909
Rethinking the Bias of Foundation Model under Long-tailed Distribution
Jiahao Chen, Bin Qin, Jiangmeng Li, Hao Chen, Bing Su; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8910-8930
Mixture of Hidden-Dimensions: Not All Hidden-States’ Dimensions are Needed in Transformer
Yilong Chen, Junyuan Shang, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8931-8954
Conformal Tail Risk Control for Large Language Model Alignment
Catherine Chen, Jingyan Shen, Zhun Deng, Lihua Lei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8955-8978
VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters
Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun, Chenghao Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:8979-9007
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator
Guoxuan Chen, Han Shi, Jiawei Li, Yihang Gao, Xiaozhe Ren, Yimeng Chen, Xin Jiang, Zhenguo Li, Weiyang Liu, Chao Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9008-9028
Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks
Angelica Chen, Samuel Don Stanton, Frances Ding, Robert G Alberstein, Andrew Martin Watkins, Richard Bonneau, Vladimir Gligorijevic, Kyunghyun Cho, Nathan C. Frey; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9029-9072
Rethinking Time Encoding via Learnable Transformation Functions
Xi Chen, Yateng Tang, Jiarong Xu, Jiawei Zhang, Siwei Zhang, Sijia Peng, Xuehao Zheng, Yun Xiong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9073-9104
Unbiased Evaluation of Large Language Models from a Causal Perspective
Meilin Chen, Jian Tian, Liang Ma, Di Xie, Weijie Chen, Jiang Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9105-9120
OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models
William Chen, Jinchuan Tian, Yifan Peng, Brian Yan, Chao-Han Huck Yang, Shinji Watanabe; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9121-9145
Causal Logistic Bandits with Counterfactual Fairness Constraints
Jiajun Chen, Jin Tian, Christopher John Quinn; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9146-9175
Graph Generative Pre-trained Transformer
Xiaohui Chen, Yinkai Wang, Jiaxing He, Yuanqi Du, Soha Hassoun, Xiaolin Xu, Liping Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9176-9197
Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development
Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9198-9230
Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting
Can Chen, Jun-Kun Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9231-9276
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning
Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9277-9294
AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization
Haibo Chen, Xin Wang, Zeyang Zhang, Haoyang Li, Ling Feng, Wenwu Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9295-9315
De-mark: Watermark Removal in Large Language Models
Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9316-9333
Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning
Mengmeng Chen, Xiaohu Wu, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao, Han Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9334-9353
Stable Fair Graph Representation Learning with Lipschitz Constraint
Qiang Chen, Zhongze Wu, Xiu Su, Xi Lin, Zhe Qu, Shan You, Shuo Yang, Chang Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9354-9376
Learning without Isolation: Pathway Protection for Continual Learning
Zhikang Chen, Abudukelimu Wuerkaixi, Sen Cui, Haoxuan Li, Ding Li, Jingfeng Zhang, Bo Han, Gang Niu, Houfang Liu, Yi Yang, Sifan Yang, Changshui Zhang, Tianling Ren; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9377-9399
Oscillation-Reduced MXFP4 Training for Vision Transformers
Yuxiang Chen, Haocheng Xi, Jun Zhu, Jianfei Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9400-9414
Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations
Zhengming Chen, Yewei Xia, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai, Kun Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9415-9442
Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance
Lisha Chen, Quan Xiao, Ellen Hidemi Fukuda, Xinyi Chen, Kun Yuan, Tianyi Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9443-9486
Do NOT Think That Much for 2+3=? On the Overthinking of Long Reasoning Models
Xingyu Chen, Jiahao Xu, Tian Liang, Zhiwei He, Jianhui Pang, Dian Yu, Linfeng Song, Qiuzhi Liu, Mengfei Zhou, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9487-9499
Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning
Hongyao Chen, Tianyang Xu, Xiaojun Wu, Josef Kittler; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9500-9515
An All-Atom Generative Model for Designing Protein Complexes
Ruizhe Chen, Dongyu Xue, Xiangxin Zhou, Zaixiang Zheng, Xiangxiang Zeng, Quanquan Gu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9516-9545
Discriminative Policy Optimization for Token-Level Reward Models
Hongzhan Chen, Tao Yang, Shiping Gao, Ruijun Chen, Xiaojun Quan, Hongtao Tian, Ting Yao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9546-9565
Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization
Yang Chen, Long Yang, Yitao Liang, Zhouchen Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9566-9589
Learn Singularly Perturbed Solutions via Homotopy Dynamics
Chuqi Chen, Yahong Yang, Yang Xiang, Wenrui Hao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9590-9613
Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $μ$ Parametrization
Zixiang Chen, Greg Yang, Qingyue Zhao, Quanquan Gu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9614-9641
Learning Configurations for Data-Driven Multi-Objective Optimization
Zhiyang Chen, Hailong Yao, Xia Yin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9642-9663
Hierarchical Graph Tokenization for Molecule-Language Alignment
Yongqiang Chen, Quanming Yao, Juzheng Zhang, James Cheng, Yatao Bian; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9664-9690
Core Context Aware Transformers for Long Context Language Modeling
Yaofo Chen, Zeng You, Shuhai Zhang, Haokun Li, Yirui Li, Yaowei Wang, Mingkui Tan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9691-9710
Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data
Mingcai Chen, Baoming Zhang, Zongbo Han, Wenyu Jiang, Yanmeng Wang, Shuai Feng, Yuntao Du., Bingkun Bao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9711-9727
Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models
Kejia Chen, Jiawen Zhang, Jiacong Hu, Yu Wang, Jian Lou, Zunlei Feng, Mingli Song; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9728-9746
A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models
Yiming Chen, Yuan Zhang, Yin Liu, Kun Yuan, Zaiwen Wen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9747-9763
Convergence of Consistency Model with Multistep Sampling under General Data Assumptions
Yiding Chen, Yiyi Zhang, Owen Oertell, Wen Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9764-9782
Gaussian Mixture Flow Matching Models
Hansheng Chen, Kai Zhang, Hao Tan, Zexiang Xu, Fujun Luan, Leonidas Guibas, Gordon Wetzstein, Sai Bi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9783-9802
Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging
Shiqi Chen, Jinghan Zhang, Tongyao Zhu, Wei Liu, Siyang Gao, Miao Xiong, Manling Li, Junxian He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9803-9817
Asymmetric Decision-Making in Online Knowledge Distillation: Unifying Consensus and Divergence
Zhaowei Chen, Borui Zhao, Yuchen Ge, Yuhao Chen, Renjie Song, Jiajun Liang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9818-9828
On the Convergence of Continuous Single-timescale Actor-critic
Xuyang Chen, Lin Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9829-9859
OmniArch: Building Foundation Model for Scientific Computing
Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Chonghan Gao, Rongye Shi, Shanghang Zhang, Jianxin Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9860-9887
FIC-TSC: Learning Time Series Classification with Fisher Information Constraint
Xiwen Chen, Wenhui Zhu, Peijie Qiu, Hao Wang, Huayu Li, Zihan Li, Yalin Wang, Aristeidis Sotiras, Abolfazl Razi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9888-9909
Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas
Shiqi Chen, Tongyao Zhu, Ruochen Zhou, Jinghan Zhang, Siyang Gao, Juan Carlos Niebles, Mor Geva, Junxian He, Jiajun Wu, Manling Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9910-9932
ExtPose: Robust and Coherent Pose Estimation by Extending ViTs
Rongyu Chen, Li’An Zhuo, Linlin Yang, Qi Wang, Liefeng Bo, Bang Zhang, Angela Yao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9933-9946
Tool Unlearning for Tool-Augmented LLMs
Jiali Cheng, Hadi Amiri; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9947-9963
Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation
Chuanqi Cheng, Jian Guan, Wei Wu, Rui Yan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9964-9981
Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks
Yixin Cheng, Hongcheng Guo, Yangming Li, Leonid Sigal; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:9982-10009
Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts
Kun Cheng, Xiao He, Lei Yu, Zhijun Tu, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10010-10024
TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments
Zi-Jian Cheng, Ziyi Jia, Zhi Zhou, Yu-Feng Li, Lan-Zhe Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10025-10089
Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators
Ze Cheng, Zhuoyu Li, Wang Xiaoqiang, Jianing Huang, Zhizhou Zhang, Zhongkai Hao, Hang Su; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10090-10105
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization
Nuojin Cheng, Leonard Papenmeier, Stephen Becker, Luigi Nardi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10106-10120
Whoever Started the interference Should End It: Guiding Data-Free Model Merging via Task Vectors
Runxi Cheng, Feng Xiong, Yongxian Wei, Wanyun Zhu, Chun Yuan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10121-10143
Not All Tokens Matter All The Time: Dynamic Token Aggregation Towards Efficient Detection Transformers
Jiacheng Cheng, Xiwen Yao, Xiang Yuan, Junwei Han; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10144-10158
Exploiting Presentative Feature Distributions for Parameter-Efficient Continual Learning of Large Language Models
Xin Cheng, Jiabo Ye, Haiyang Xu, Ming Yan, Ji Zhang, Feng Liu, Fei Huang, Lei Feng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10159-10181
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization
Mujin Cheon, Jay H Lee, Dong-Yeun Koh, Calvin Tsay; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10182-10198
SketchDNN: Joint Continuous-Discrete Diffusion for CAD Sketch Generation
Sathvik Reddy Chereddy, John Femiani; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10199-10215
Adaptive Sample Sharing for Multi Agent Linear Bandits
Hamza Cherkaoui, Merwan Barlier, Igor Colin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10216-10248
BILBO: BILevel Bayesian Optimization
Ruth Wan Theng Chew, Quoc Phong Nguyen, Bryan Kian Hsiang Low; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10249-10268
Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed
Savelii Chezhegov, Klyukin Yaroslav, Andrei Semenov, Aleksandr Beznosikov, Alexander Gasnikov, Samuel Horváth, Martin Takáč, Eduard Gorbunov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10269-10333
Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models
Anshuman Chhabra, Bo Li, Jian Chen, Prasant Mohapatra, Hongfu Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10334-10353
Copilot Arena: A Platform for Code LLM Evaluation in the Wild
Wayne Chi, Valerie Chen, Anastasios Nikolas Angelopoulos, Wei-Lin Chiang, Aditya Mittal, Naman Jain, Tianjun Zhang, Ion Stoica, Chris Donahue, Ameet Talwalkar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10354-10382
Empowering World Models with Reflection for Embodied Video Prediction
Xiaowei Chi, Chun-Kai Fan, Hengyuan Zhang, Xingqun Qi, Rongyu Zhang, Anthony Chen, Chi-Min Chan, Wei Xue, Qifeng Liu, Shanghang Zhang, Yike Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10383-10410
Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models
Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin, Kai-Chiang Wu, Mohamed S. Abdelfattah, Diana Marculescu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10411-10427
Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models
Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Susumu Takeuchi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10428-10448
SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming
Hong-Ming Chiu, Hao Chen, Huan Zhang, Richard Y. Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10449-10468
Mixed-curvature decision trees and random forests
Philippe Chlenski, Quentin Chu, Raiyan R. Khan, Kaizhu Du, Antonio Khalil Moretti, Itsik Pe’Er; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10469-10498
Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation
Taehyun Cho, Seungyub Han, Seokhun Ju, Dohyeong Kim, Kyungjae Lee, Jungwoo Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10499-10523
Policy-labeled Preference Learning: Is Preference Enough for RLHF?
Taehyun Cho, Seokhun Ju, Seungyub Han, Dohyeong Kim, Kyungjae Lee, Jungwoo Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10524-10553
One-Step Generalization Ratio Guided Optimization for Domain Generalization
Sumin Cho, Dongwon Kim, Kwangsu Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10554-10582
ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning
Myungsik Cho, Jongeui Park, Jeonghye Kim, Youngchul Sung; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10583-10601
Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
Yeseul Cho, Baekrok Shin, Changmin Kang, Chulhee Yun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10602-10643
Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan
Jaemoo Choi, Jaewoong Choi, Dohyun Kwon; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10644-10665
How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence
Hyeong Kyu Choi, Maxim Khanov, Hongxin Wei, Yixuan Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10666-10682
A Hitchhiker’s Guide to Scaling Law Estimation
Leshem Choshen, Yang Zhang, Jacob Andreas; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10683-10699
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry
Chi-Ning Chou, Hang Le, Yichen Wang, Sueyeon Chung; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10700-10740
Linear convergence of Sinkhorn’s algorithm for generalized static Schrödinger bridge
Rahul Choudhary, Hanbaek Lyu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10741-10767
Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent
Ya-Chi Chu, Wenzhi Gao, Yinyu Ye, Madeleine Udell; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10768-10800
Fine-Grained Captioning of Long Videos through Scene Graph Consolidation
Sanghyeok Chu, Seonguk Seo, Bohyung Han; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10801-10817
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Tianzhe Chu, Yuexiang Zhai, Jihan Yang, Shengbang Tong, Saining Xie, Dale Schuurmans, Quoc V Le, Sergey Levine, Yi Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10818-10838
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models
Yung-Sung Chuang, Benjamin Cohen-Wang, Zejiang Shen, Zhaofeng Wu, Hu Xu, Xi Victoria Lin, James R. Glass, Shang-Wen Li, Wen-Tau Yih; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10839-10858
Learning to Route LLMs with Confidence Tokens
Yu-Neng Chuang, Prathusha Kameswara Sarma, Parikshit Gopalan, John Boccio, Sara Bolouki, Xia Hu, Helen Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10859-10878
Unifying Specialized Visual Encoders for Video Language Models
Jihoon Chung, Tyler Zhu, Max Gonzalez Saez-Diez, Juan Carlos Niebles, Honglu Zhou, Olga Russakovsky; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10879-10900
WMAdapter: Adding WaterMark Control to Latent Diffusion Models
Hai Ci, Yiren Song, Pei Yang, Jinheng Xie, Mike Zheng Shou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10901-10919
Objective drives the consistency of representational similarity across datasets
Laure Ciernik, Lorenz Linhardt, Marco Morik, Jonas Dippel, Simon Kornblith, Lukas Muttenthaler; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10920-10948
Relational Conformal Prediction for Correlated Time Series
Andrea Cini, Alexander Jenkins, Danilo Mandic, Cesare Alippi, Filippo Maria Bianchi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10949-10965
Vector Grimoire: Codebook-based Shape Generation under Raster Image Supervision
Marco Cipriano, Moritz Feuerpfeil, Gerard De Melo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10966-10993
Optimization for Neural Operators can Benefit from Width
Pedro Cisneros-Velarde, Bhavesh Shrimali, Arindam Banerjee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:10994-11041
Sample Complexity of Branch-length Estimation by Maximum Likelihood
David Clancy Jr., Hanbaek Lyu, Sebastien Roch; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11042-11063
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC
Tyler Clark, Mark Towers, Christine Evers, Jonathon Hare; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11064-11091
Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution
Alex Clinton, Yiding Chen, Jerry Zhu, Kirthevasan Kandasamy; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11092-11141
Two Tickets are Better than One: Fair and Accurate Hiring Under Strategic LLM Manipulations
Lee Cohen, Connie Hong, Jack Hsieh, Judy Hanwen Shen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11142-11172
The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli
Doron Cohen, Aryeh Kontorovich, Roi Weiss; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11173-11184
Breaking the Quadratic Barrier: Robust Cardinality Sketches for Adaptive Queries
Edith Cohen, Mihir Singhal, Uri Stemmer; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11185-11199
Algorithms and Hardness for Active Learning on Graphs
Vincent Cohen-Addad, Silvio Lattanzi, Simon Meierhans; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11200-11214
Kinetic Langevin Diffusion for Crystalline Materials Generation
François R J Cornet, Federico Bergamin, Arghya Bhowmik, Juan Maria Garcia-Lastra, Jes Frellsen, Mikkel N. Schmidt; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11215-11244
Counterfactual Graphical Models: Constraints and Inference
Juan D. Correa, Elias Bareinboim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11245-11254
Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data
Corinna Cortes, Anqi Mao, Mehryar Mohri, Yutao Zhong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11255-11287
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
Adrien Cortes, Remi Rehm, Victor Letzelter; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11288-11312
Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects
Santiago Cortes-Gomez, Naveen Janaki Raman, Aarti Singh, Bryan Wilder; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11313-11327
FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference
Stefano Cortinovis, Francois Caron; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11328-11356
Learning-Augmented Algorithms for MTS with Bandit Access to Multiple Predictors
Matei Gabriel Cosa, Marek Elias; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11357-11378
BARNN: A Bayesian Autoregressive and Recurrent Neural Network
Dario Coscia, Max Welling, Nicola Demo, Gianluigi Rozza; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11379-11404
No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets
Corinna Coupette, Jeremy Wayland, Emily Simons, Bastian Rieck; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11405-11434
Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges
Alex Crane, Thomas Stanley, Blair D. Sullivan, Nate Veldt; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11435-11464
Constant Stepsize Local GD for Logistic Regression: Acceleration by Instability
Michael Crawshaw, Blake Woodworth, Mingrui Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11465-11492
Prediction-Powered E-Values
Daniel Csillag, Claudio Jose Struchiner, Guilherme Tegoni Goedert; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11493-11514
OR-Bench: An Over-Refusal Benchmark for Large Language Models
Justin Cui, Wei-Lin Chiang, Ion Stoica, Cho-Jui Hsieh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11515-11542
Improving Soft Unification with Knowledge Graph Embedding Methods
Xuanming Cui, Chionh Wei Peng, Adriel Kuek, Ser-Nam Lim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11543-11562
Calibrating Video Watch-time Predictions with Credible Prototype Alignment
Chao Cui, Shisong Tang, Fan Li, Jiechao Gao, Hechang Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11563-11584
An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
Jingyi Cui, Hongwei Wen, Yisen Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11585-11603
InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference
Tianyu Cui, Song-Jun Xu, Artem Moskalev, Shuwei Li, Tommaso Mansi, Mangal Prakash, Rui Liao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11604-11619
Human Cognition-Inspired Hierarchical Fuzzy Learning Machine
Junbiao Cui, Qin Yue, Jianqing Liang, Jiye Liang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11620-11648
Enhancing Target-unspecific Tasks through a Features Matrix
Fangming Cui, Yonggang Zhang, Xuan Wang, Xinmei Tian, Jun Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11649-11661
Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model
Rachel Cummings, Alessandro Epasto, Jieming Mao, Tamalika Mukherjee, Tingting Ou, Peilin Zhong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11662-11691
Flow-based Domain Randomization for Learning and Sequencing Robotic Skills
Aidan Curtis, Eric Li, Michael Noseworthy, Nishad Gothoskar, Sachin Chitta, Hui Li, Leslie Pack Kaelbling, Nicole E Carey; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11692-11709
Robust Autonomy Emerges from Self-Play
Marco Cusumano-Towner, David Hafner, Alexander Hertzberg, Brody Huval, Aleksei Petrenko, Eugene Vinitsky, Erik Wijmans, Taylor W. Killian, Stuart Bowers, Ozan Sener, Philipp Kraehenbuehl, Vladlen Koltun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11710-11737
SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders
Bartosz Cywiński, Kamil Deja; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11738-11775
Causal Abstraction Learning based on the Semantic Embedding Principle
Gabriele D’Acunto, Fabio Massimo Zennaro, Yorgos Felekis, Paolo Di Lorenzo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11776-11812
On Temperature Scaling and Conformal Prediction of Deep Classifiers
Lahav Dabah, Tom Tirer; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11813-11845
Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning
Mahavir Dabas, Si Chen, Charles Fleming, Ming Jin, Ruoxi Jia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11846-11861
Generalization of noisy SGD in unbounded non-convex settings
Leello Tadesse Dadi, Volkan Cevher; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11862-11883
Continual Generalized Category Discovery: Learning and Forgetting from a Bayesian Perspective
Hao Dai, Jagmohan Chauhan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11884-11903
CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models
Wei Dai, Peilin Chen, Malinda Lu, Daniel A Li, Haowen Wei, Hejie Cui, Paul Pu Liang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11904-11953
Adapting to Evolving Adversaries with Regularized Continual Robust Training
Sihui Dai, Christian Cianfarani, Vikash Sehwag, Prateek Mittal, Arjun Bhagoji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:11954-12000
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification
Ben Dai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12001-12021
SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model’s Parameter-Efficient Fine-Tuning
Gaole Dai, Chun-Kai Fan, Yiming Tang, Zhi Zhang, Yuan Zhang, Yulu Gan, Qizhe Zhang, Cheng-Ching Tseng, Shanghang Zhang, Tiejun Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12022-12046
Robust Secure Swap: Responsible Face Swap With Persons of Interest Redaction and Provenance Traceability
Yunshu Dai, Jianwei Fei, Fangjun Huang, Chip Hong Chang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12047-12062
From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms
Jessica Dai, Paula Gradu, Inioluwa Deborah Raji, Benjamin Recht; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12063-12083
Learning With Multi-Group Guarantees For Clusterable Subpopulations
Jessica Dai, Nika Haghtalab, Eric Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12084-12105
Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification
Yuanchao Dai, Ximing Li, Changchun Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12106-12120
MemFreezing: A Novel Adversarial Attack on Temporal Graph Neural Networks under Limited Future Knowledge
Yue Dai, Liang Liu, Xulong Tang, Youtao Zhang, Jun Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12121-12160
Latent Variable Causal Discovery under Selection Bias
Haoyue Dai, Yiwen Qiu, Ignavier Ng, Xinshuai Dong, Peter Spirtes, Kun Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12161-12178
Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle
Hui Dai, Ryan Teehan, Mengye Ren; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12179-12213
MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data
Yuqin Dai, Zhouheng Yao, Chunfeng Song, Qihao Zheng, Weijian Mai, Kunyu Peng, Shuai Lu, Wanli Ouyang, Jian Yang, Jiamin Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12214-12228
Policy Gradient with Tree Expansion
Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12229-12255
Sparse-pivot: Dynamic correlation clustering for node insertions
Mina Dalirrooyfard, Konstantin Makarychev, Slobodan Mitrović; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12256-12279
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions
Onat Dalmaz, Arjun D Desai, Reinhard Heckel, Tolga Cukur, Akshay S Chaudhari, Brian Hargreaves; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12280-12313
Online Robust Reinforcement Learning Through Monte-Carlo Planning
Tuan Quang Dam, Kishan Panaganti, Brahim Driss, Adam Wierman; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12314-12343
Power Mean Estimation in Stochastic Continuous Monte-Carlo Tree Search
Tuan Quang Dam; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12344-12376
Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport
Tuan Quang Dam, Pascal Stenger, Lukas Schneider, Joni Pajarinen, Carlo D’Eramo, Odalric-Ambrym Maillard; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12377-12401
Shifting Time: Time-series Forecasting with Khatri-Rao Neural Operators
Srinath Dama, Kevin Course, Prasanth B. Nair; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12402-12435
Efficiently Vectorized MCMC on Modern Accelerators
Hugh Dance, Pierre Glaser, Peter Orbanz, Ryan P Adams; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12436-12458
Near-Optimal Consistency-Robustness Trade-Offs for Learning-Augmented Online Knapsack Problems
Mohammadreza Daneshvaramoli, Helia Karisani, Adam Lechowicz, Bo Sun, Cameron N Musco, Mohammad Hajiesmaili; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12459-12489
Online Sparsification of Bipartite-Like Clusters in Graphs
Joyentanuj Das, Suranjan De, He Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12490-12508
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Rudrajit Das, Inderjit S Dhillon, Alessandro Epasto, Adel Javanmard, Jieming Mao, Vahab Mirrokni, Sujay Sanghavi, Peilin Zhong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12509-12538
A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
Shib Sankar Dasgupta, Michael Boratko, Andrew Mccallum; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12539-12553
Learning Gaussian DAG Models without Condition Number Bounds
Constantinos Costis Daskalakis, Anthimos Vardis Kandiros, Rui Yao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12554-12589
Accelerated Diffusion Models via Speculative Sampling
Valentin De Bortoli, Alexandre Galashov, Arthur Gretton, Arnaud Doucet; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12590-12631
Distributional Diffusion Models with Scoring Rules
Valentin De Bortoli, Alexandre Galashov, J Swaroop Guntupalli, Guangyao Zhou, Kevin Patrick Murphy, Arthur Gretton, Arnaud Doucet; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12632-12676
EncryptedLLM: Privacy-Preserving Large Language Model Inference via GPU-Accelerated Fully Homomorphic Encryption
Leo De Castro, Daniel Escudero, Adya Agrawal, Antigoni Polychroniadou, Manuela Veloso; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12677-12688
Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning
Bryan Lincoln Marques De Oliveira, Luana Guedes Barros Martins, Bruno Brandão, Murilo Lopes Da Luz, Telma Woerle De Lima Soares, Luckeciano Carvalho Melo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12689-12717
Enhancing Diversity In Parallel Agents: A Maximum State Entropy Exploration Story
Vincenzo De Paola, Riccardo Zamboni, Mirco Mutti, Marcello Restelli; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12718-12738
Provable Maximum Entropy Manifold Exploration via Diffusion Models
Riccardo De Santi, Marin Vlastelica, Ya-Ping Hsieh, Zebang Shen, Niao He, Andreas Krause; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12739-12761
Breaking the Barrier of Hard Samples: A Data-Centric Approach to Synthetic Data for Medical Tasks
Maynara Donato De Souza, Cleber Zanchettin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12762-12815
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices
Thibault De Surrel, Fabien Lotte, Sylvain Chevallier, Florian Yger; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12816-12839
Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees
William De Vazelhes, Xiaotong Yuan, Bin Gu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12840-12900
Trust-Region Twisted Policy Improvement
Joery A. De Vries, Jinke He, Yaniv Oren, Matthijs T. J. Spaan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12901-12923
FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain
Rohan Deb, Kiran Koshy Thekumparampil, Kousha Kalantari, Gaurush Hiranandani, Shoham Sabach, Branislav Kveton; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12924-12943
Improving Transformer World Models for Data-Efficient RL
Antoine Dedieu, Joseph Ortiz, Xinghua Lou, Carter Wendelken, J Swaroop Guntupalli, Wolfgang Lehrach, Miguel Lazaro-Gredilla, Kevin Patrick Murphy; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12944-12968
An Efficient Matrix Multiplication Algorithm for Accelerating Inference in Binary and Ternary Neural Networks
Mohsen Dehghankar, Mahdi Erfanian, Abolfazl Asudeh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12969-12986
A Unified Approach to Routing and Cascading for LLMs
Jasper Dekoninck, Maximilian Baader, Martin Vechev; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:12987-13010
Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets
Charita Dellaporta, Patrick O’Hara, Theodoros Damoulas; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13011-13043
Learning Distribution-wise Control in Representation Space for Language Models
Chunyuan Deng, Ruidi Chang, Hanjie Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13044-13068
Towards Understanding Parametric Generalized Category Discovery on Graphs
Bowen Deng, Lele Fu, Jialong Chen, Sheng Huang, Tianchi Liao, Zhang Tao, Chuan Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13069-13109
FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing
Yingying Deng, Xiangyu He, Changwang Mei, Peisong Wang, Fan Tang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13110-13128
Predicting mutational effects on protein binding from folding energy
Arthur Deng, Karsten D. Householder, Fang Wu, K. Christopher Garcia, Brian L. Trippe; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13129-13151
Procurement Auctions via Approximately Optimal Submodular Optimization
Yuan Deng, Amin Karbasi, Vahab Mirrokni, Renato Paes Leme, Grigoris Velegkas, Song Zuo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13152-13180
Discrepancy Minimization in Input-Sparsity Time
Yichuan Deng, Xiaoyu Li, Zhao Song, Omri Weinstein; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13181-13236
EGPlace: An Efficient Macro Placement Method via Evolutionary Search with Greedy Repositioning Guided Mutation
Ji Deng, Zhao Li, Ji Zhang, Jun Gao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13237-13255
A Versatile Influence Function for Data Attribution with Non-Decomposable Loss
Junwei Deng, Weijing Tang, Jiaqi W. Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13256-13276
Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
Junze Deng, Qinhang Wu, Peizhong Ju, Sen Lin, Yingbin Liang, Ness Shroff; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13277-13326
EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions
Huayu Deng, Xiangming Zhu, Yunbo Wang, Xiaokang Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13327-13346
QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions
Zhun Deng, Thomas P Zollo, Benjamin Eyre, Amogh Inamdar, David Madras, Richard Zemel; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13347-13368
Theoretical Limitations of Ensembles in the Age of Overparameterization
Niclas Dern, John Patrick Cunningham, Geoff Pleiss; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13369-13401
HashAttention: Semantic Sparsity for Faster Inference
Aditya Desai, Shuo Yang, Alejandro Cuadron, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13402-13418
Compressing tree ensembles through Level-wise Optimization and Pruning
Laurens Devos, Timo Martens, Deniz Can Oruc, Wannes Meert, Hendrik Blockeel, Jesse Davis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13419-13443
A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression
Victor Dheur, Matteo Fontana, Yorick Estievenart, Naomi Desobry, Souhaib Ben Taieb; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13444-13485
Continuous Bayesian Model Selection for Multivariate Causal Discovery
Anish Dhir, Ruby Sedgwick, Avinash Kori, Ben Glocker, Mark Van Der Wilk; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13486-13512
Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback
Qiwei Di, Jiafan He, Quanquan Gu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13513-13545
Optimizing Adaptive Attacks against Watermarks for Language Models
Abdulrahman Diaa, Toluwani Aremu, Nils Lukas; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13546-13569
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination
Ilias Diakonikolas, Giannis Iakovidis, Daniel Kane, Thanasis Pittas; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13570-13600
On Learning Parallel Pancakes with Mostly Uniform Weights
Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Jasper C.H. Lee, Thanasis Pittas; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13601-13621
Batch List-Decodable Linear Regression via Higher Moments
Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Sihan Liu, Thanasis Pittas; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13622-13642
On Fine-Grained Distinct Element Estimation
Ilias Diakonikolas, Daniel Kane, Jasper C.H. Lee, Thanasis Pittas, David Woodruff, Samson Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13643-13678
Online Linear Classification with Massart Noise
Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13679-13692
Statistical Query Hardness of Multiclass Linear Classification with Random Classification Noise
Ilias Diakonikolas, Mingchen Ma, Lisheng Ren, Christos Tzamos; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13693-13712
On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation
Nghiem Tuong Diep, Huy Nguyen, Chau Nguyen, Minh Le, Duy Minh Ho Nguyen, Daniel Sonntag, Mathias Niepert, Nhat Ho; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13713-13745
Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows
Willem Diepeveen, Georgios Batzolis, Zakhar Shumaylov, Carola-Bibiane Schönlieb; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13746-13773
MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models
Mahir Labib Dihan, Md Tanvir Hassan, Md Tanvir Parvez, Md Hasebul Hasan, Md Almash Alam, Muhammad Aamir Cheema, Mohammed Eunus Ali, Md Rizwan Parvez; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13774-13813
Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment
Yuhui Ding, Thomas Hofmann; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13814-13824
Visual Abstraction: A Plug-and-Play Approach for Text-Visual Retrieval
Guofeng Ding, Yiding Lu, Peng Hu, Mouxing Yang, Yijie Lin, Xi Peng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13825-13844
NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders
Jun-En Ding, Dongsheng Luo, Chenwei Wu, Feng Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13845-13869
BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian Del Carmen Hipolito Garcia, Menglin Xia, Laks V. S. Lakshmanan, Qingyun Wu, Victor Rühle; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13870-13884
LBI-FL: Low-Bit Integerized Federated Learning with Temporally Dynamic Bit-Width Allocation
Li Ding, Hao Zhang, Wenrui Dai, Chenglin Li, Weijia Lu, Zhifei Yang, Xiaodong Zhang, Xiaofeng Ma, Junni Zou, Hongkai Xiong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13885-13899
Ad-Hoc Human-AI Coordination Challenge
Tin Dizdarević, Ravi Hammond, Tobias Gessler, Anisoara Calinescu, Jonathan Cook, Matteo Gallici, Andrei Lupu, Jakob Nicolaus Foerster; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13900-13937
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification
Andy Dong, Wei-Ning Chen, Ayfer Ozgur; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13938-13962
Maximum Entropy Reinforcement Learning with Diffusion Policy
Xiaoyi Dong, Jian Cheng, Xi Sheryl Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13963-13983
Enhancing Decision-Making of Large Language Models via Actor-Critic
Heng Dong, Kefei Duan, Chongjie Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:13984-14020
In-Context Reinforcement Learning From Suboptimal Historical Data
Juncheng Dong, Moyang Guo, Ethan X Fang, Zhuoran Yang, Vahid Tarokh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14021-14039
Exactly Tight Information-theoretic Generalization Bounds via Binary Jensen-Shannon Divergence
Yuxin Dong, Haoran Guo, Tieliang Gong, Wen Wen, Chen Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14040-14060
Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices
Junhao Dong, Piotr Koniusz, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14061-14078
Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension
Yijun Dong, Yicheng Li, Yunai Li, Jason D. Lee, Qi Lei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14079-14113
STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving
Kefan Dong, Tengyu Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14114-14136
Permutation-based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data
Xinshuai Dong, Ignavier Ng, Boyang Sun, Haoyue Dai, Guang-Yuan Hao, Shunxing Fan, Peter Spirtes, Yumou Qiu, Kun Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14137-14151
Maintaining Proportional Committees with Dynamic Candidate Sets
Chris Dong, Jannik Peters; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14152-14168
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression
Peijie Dong, Zhenheng Tang, Xiang Liu, Lujun Li, Xiaowen Chu, Bo Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14169-14202
TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories
Honghua Dong, Jiacheng Yang, Xun Deng, Yuhe Jiang, Gennady Pekhimenko, Fan Long, Xujie Si; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14203-14230
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization
Youran Dong, Junfeng Yang, Wei Yao, Jin Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14231-14259
A Lens into Interpretable Transformer Mistakes via Semantic Dependency
Ruo-Jing Dong, Yu Yao, Bo Han, Tongliang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14260-14284
ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models
Xinpeng Dong, Min Zhang, Didi Zhu, Ye Jun Jian, Zhang Keli, Aimin Zhou, Fei Wu, Kun Kuang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14285-14300
Emergent Response Planning in LLMs
Zhichen Dong, Zhanhui Zhou, Zhixuan Liu, Chao Yang, Chaochao Lu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14301-14320
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models
Konstantin Donhauser, Kristina Ulicna, Gemma Elyse Moran, Aditya Ravuri, Kian Kenyon-Dean, Cian Eastwood, Jason Hartford; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14321-14343
ADDQ: Adaptive distributional double Q-learning
Leif Döring, Benedikt Wille, Maximilian Birr, Mihail Bı̂rsan, Martin Slowik; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14344-14390
Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres
Muskan Dosi, Chiranjeev Chiranjeev, Kartik Thakral, Mayank Vatsa, Richa Singh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14391-14416
On the Importance of Embedding Norms in Self-Supervised Learning
Andrew Draganov, Sharvaree Vadgama, Sebastian Damrich, Jan Niklas Böhm, Lucas Maes, Dmitry Kobak, Erik J Bekkers; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14417-14438
Sleeping Reinforcement Learning
Simone Drago, Marco Mussi, Alberto Maria Metelli; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14439-14498
Towards Theoretical Understanding of Sequential Decision Making with Preference Feedback
Simone Drago, Marco Mussi, Alberto Maria Metelli; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14499-14514
Long-Short Alignment for Effective Long-Context Modeling in LLMs
Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14515-14535
Enabling Optimal Decisions in Rehearsal Learning under CARE Condition
Wen-Bo Du, Hao-Yi Lei, Lue Tao, Tian-Zuo Wang, Zhi-Hua Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14536-14561
Telling Peer Direct Effects from Indirect Effects in Observational Network Data
Xiaojing Du, Jiuyong Li, Debo Cheng, Lin Liu, Wentao Gao, Xiongren Chen, Ziqi Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14562-14578
Textual Unlearning Gives a False Sense of Unlearning
Jiacheng Du, Zhibo Wang, Jie Zhang, Xiaoyi Pang, Jiahui Hu, Kui Ren; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14579-14597
Reinforcement Learning with Segment Feedback
Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14598-14647
Optimizing Temperature for Language Models with Multi-Sample Inference
Weihua Du, Yiming Yang, Sean Welleck; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14648-14668
Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing
Ye Du, Chen Yang, Nanxi Yu, Wanyu Lin, Qian Zhao, Shujun Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14669-14681
Unsupervised Learning for Class Distribution Mismatch
Pan Du, Wangbo Zhao, Xinai Lu, Nian Liu, Zhikai Li, Chaoyu Gong, Suyun Zhao, Hong Chen, Cuiping Li, Kai Wang, Yang You; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14682-14718
Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate
Jiahe Du, Kaixiong Zhou, Xinyu Hong, Zhaozhuo Xu, Jinbo Xu, Xiao Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14719-14734
Deep Fuzzy Multi-view Learning for Reliable Classification
Siyuan Duan, Yuan Sun, Dezhong Peng, Guiduo Duan, Xi Peng, Peng Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14735-14758
CoPINN: Cognitive Physics-Informed Neural Networks
Siyuan Duan, Wenyuan Wu, Peng Hu, Zhenwen Ren, Dezhong Peng, Yuan Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14759-14777
Unnatural Languages Are Not Bugs but Features for LLMs
Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J Zico Kolter, Michael Qizhe Shieh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14778-14792
MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design
Haojie Duanmu, Xiuhong Li, Zhihang Yuan, Size Zheng, Jiangfei Duan, Xingcheng Zhang, Dahua Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14793-14806
DIS-CO: Discovering Copyrighted Content in VLMs Training Data
André V. Duarte, Xuandong Zhao, Arlindo L. Oliveira, Lei Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14807-14832
Weakly Supervised Anomaly Detection via Dual-Tailed Kernel
Walid Durani, Tobias Nitzl, Claudia Plant, Christian Böhm; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14833-14866
IT$^3$: Idempotent Test-Time Training
Nikita Durasov, Assaf Shocher, Doruk Oner, Gal Chechik, Alexei A Efros, Pascal Fua; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14867-14883
SPHINX: Structural Prediction using Hypergraph Inference Network
Iulia Duta, Pietro Lio; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14884-14901
LASER: Attention with Exponential Transformation
Sai Surya Duvvuri, Inderjit S Dhillon; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14902-14917
Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces
Eric Eaton, Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14918-14933
Partially Observable Reinforcement Learning with Memory Traces
Onno Eberhard, Michael Muehlebach, Claire Vernade; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14934-14949
Not All Wrong is Bad: Using Adversarial Examples for Unlearning
Ali Ebrahimpour-Boroojeny, Hari Sundaram, Varun Chandrasekaran; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14950-14971
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
Peter Eckmann, Dongxia Wu, Germano Heinzelmann, Michael K Gilson, Rose Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14972-14988
Aligned Multi Objective Optimization
Yonathan Efroni, Ben Kretzu, Daniel R. Jiang, Jalaj Bhandari, Zheqing Zhu, Karen Ullrich; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:14989-15017
On the Importance of Gaussianizing Representations
Daniel Eftekhari, Vardan Papyan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15018-15037
Mind the Gap: A Practical Attack on GGUF Quantization
Kazuki Egashira, Robin Staab, Mark Vero, Jingxuan He, Martin Vechev; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15038-15065
Controlled Generation with Equivariant Variational Flow Matching
Floor Eijkelboom, Heiko Zimmermann, Sharvaree Vadgama, Erik J Bekkers, Max Welling, Christian A. Naesseth, Jan-Willem Van De Meent; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15066-15078
A Market for Accuracy: Classification Under Competition
Ohad Einav, Nir Rosenfeld; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15079-15104
Enhancing Parallelism in Decentralized Stochastic Convex Optimization
Ofri Eisen, Ron Dorfman, Kfir Yehuda Levy; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15105-15129
WyckoffDiff – A Generative Diffusion Model for Crystal Symmetry
Filip Ekström Kelvinius, Oskar B. Andersson, Abhijith S Parackal, Dong Qian, Rickard Armiento, Fredrik Lindsten; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15130-15147
Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo
Filip Ekström Kelvinius, Zheng Zhao, Fredrik Lindsten; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15148-15181
Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control
Sepehr Elahi, Paula Mürmann, Patrick Thiran; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15182-15214
any4: Learned 4-bit Numeric Representation for LLMs
Mostafa Elhoushi, Jeff Johnson; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15215-15231
Graph Adaptive Autoregressive Moving Average Models
Moshe Eliasof, Alessio Gravina, Andrea Ceni, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15232-15265
Towards a Formal Theory of Representational Compositionality
Eric Elmoznino, Thomas Jiralerspong, Yoshua Bengio, Guillaume Lajoie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15266-15295
In-Context Learning and Occam’s Razor
Eric Elmoznino, Tom Marty, Tejas Kasetty, Leo Gagnon, Sarthak Mittal, Mahan Fathi, Dhanya Sridhar, Guillaume Lajoie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15296-15319
Observation Interference in Partially Observable Assistance Games
Scott Emmons, Caspar Oesterheld, Vincent Conitzer, Stuart Russell; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15320-15345
Maximum Coverage in Turnstile Streams with Applications to Fingerprinting Measures
Alina Ene, Alessandro Epasto, Vahab Mirrokni, Hoai-An Nguyen, Huy Nguyen, David Woodruff, Peilin Zhong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15346-15369
Grammar-Forced Translation of Natural Language to Temporal Logic using LLMs
William H English, Dominic Simon, Sumit Kumar Jha, Rickard Ewetz; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15370-15383
Distributed Event-Based Learning via ADMM
Guner Dilsad Er, Sebastian Trimpe, Michael Muehlebach; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15384-15418
Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks
Lutfi Eren Erdogan, Nicholas Lee, Sehoon Kim, Suhong Moon, Hiroki Furuta, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15419-15462
Reinforcement Learning for Quantum Control under Physical Constraints
Jan Ole Ernst, Aniket Chatterjee, Tim Franzmeyer, Axel Kuhn; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15463-15489
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Federico Errica, Henrik Christiansen, Viktor Zaverkin, Takashi Maruyama, Mathias Niepert, Francesco Alesiani; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15490-15515
Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions
Eray Erturk, Fahad Kamran, Salar Abbaspourazad, Sean Jewell, Harsh Sharma, Yujie Li, Sinead Williamson, Nicholas J Foti, Joseph Futoma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15516-15541
Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning
Adrià López Escoriza, Nicklas Hansen, Stone Tao, Tongzhou Mu, Hao Su; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15542-15563
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts
Mateo Espinosa Zarlenga, Gabriele Dominici, Pietro Barbiero, Zohreh Shams, Mateja Jamnik; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15564-15595
Regression for the Mean: Auto-Evaluation and Inference with Few Labels through Post-hoc Regression
Benjamin Eyre, David Madras; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15596-15612
Understanding Complexity in VideoQA via Visual Program Generation
Cristobal Eyzaguirre, Igor Vasiljevic, Achal Dave, Jiajun Wu, Rares Andrei Ambrus, Thomas Kollar, Juan Carlos Niebles, Pavel Tokmakov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15613-15636
Learning Mean Field Control on Sparse Graphs
Christian Fabian, Kai Cui, Heinz Koeppl; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15637-15660
MedRAX: Medical Reasoning Agent for Chest X-ray
Adibvafa Fallahpour, Jun Ma, Alif Munim, Hongwei Lyu, Bo Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15661-15676
Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner
Chenyou Fan, Chenjia Bai, Zhao Shan, Haoran He, Yang Zhang, Zhen Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15677-15699
De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks
Wei Fan, Kejiang Chen, Chang Liu, Weiming Zhang, Nenghai Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15700-15718
SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation
Yuqi Fan, Zhiyong Cui, Zhenning Li, Yilong Ren, Haiyang Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15719-15735
Graph Minimum Factorization Distance and Its Application to Large-Scale Graph Data Clustering
Jicong Fan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15736-15761
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond
Chongyu Fan, Jinghan Jia, Yihua Zhang, Anil Ramakrishna, Mingyi Hong, Sijia Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15762-15778
Learning Changes in Graphon Attachment Network Models
Xinyuan Fan, Bufan Li, Chenlei Leng, Weichi Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15779-15803
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
Chenghao Fan, Zhenyi Lu, Sichen Liu, Chengfeng Gu, Xiaoye Qu, Wei Wei, Yu Cheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15804-15832
On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialists
Dongyang Fan, Bettina Messmer, Nikita Doikov, Martin Jaggi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15833-15861
Safety-Polarized and Prioritized Reinforcement Learning
Ke Fan, Jinpeng Zhang, Xuefeng Zhang, Yunze Wu, Jingyu Cao, Yuan Zhou, Jianzhu Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15862-15886
Adaptive Multi-prompt Contrastive Network for Few-shot Out-of-distribution Detection
Xiang Fang, Arvind Easwaran, Blaise Genest; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15887-15900
Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate
Yifan Fang, Yifei Fang, Ruizhe Chen, Haote Xu, Xinghao Ding, Yue Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15901-15924
SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation
Haoquan Fang, Markus Grotz, Wilbert Pumacay, Yi Ru Wang, Dieter Fox, Ranjay Krishna, Jiafei Duan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15925-15942
Towards a Unified Framework of Clustering-based Anomaly Detection
Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15943-15959
FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation
Chengying Fang, Wenke Huang, Guancheng Wan, Yihao Yang, Mang Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15960-15975
Understanding and Mitigating Memorization in Diffusion Models for Tabular Data
Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen, Xiao Li, Jing Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:15976-16005
Homophily Enhanced Graph Domain Adaptation
Ruiyi Fang, Bingheng Li, Jingyu Zhao, Ruizhi Pu, Qiuhao Zeng, Gezheng Xu, Charles Ling, Boyu Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16006-16028
Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models
Yiyang Fang, Jian Liang, Wenke Huang, He Li, Kehua Su, Mang Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16029-16039
Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation
Hung-Chieh Fang, Po-Yi Lu, Hsuan-Tien Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16040-16057
FlexControl: Computation-Aware Conditional Control with Differentiable Router for Text-to-Image Generation
Zheng Fang, Lichuan Xiang, Xu Cai, Kaicheng Zhou, Hongkai Wen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16058-16077
Reliable Algorithm Selection for Machine Learning-Guided Design
Clara Fannjiang, Ji Won Park; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16078-16101
Temporal Difference Flows
Jesse Farebrother, Matteo Pirotta, Andrea Tirinzoni, Remi Munos, Alessandro Lazaric, Ahmed Touati; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16102-16143
Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models
Farzad Farhadzadeh, Debasmit Das, Shubhankar Borse, Fatih Porikli; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16144-16160
Speeding up Policy Simulation in Supply Chain RL
Vivek Farias, Joren Gijsbrechts, Aryan I. Khojandi, Tianyi Peng, Andrew Zheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16161-16177
Jacobian Sparse Autoencoders: Sparsify Computations, Not Just Activations
Lucy Farnik, Tim Lawson, Conor Houghton, Laurence Aitchison; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16178-16236
MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking
Sebastian Farquhar, Vikrant Varma, David Lindner, David Elson, Caleb Biddulph, Ian Goodfellow, Rohin Shah; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16237-16272
A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability
Pouria Fatemi, Ehsan Sharifian, Mohammad Hossein Yassaee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16273-16285
How Compositional Generalization and Creativity Improve as Diffusion Models are Trained
Alessandro Favero, Antonio Sclocchi, Francesco Cagnetta, Pascal Frossard, Matthieu Wyart; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16286-16306
On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback
Matthew Faw, Constantine Caramanis, Jessica Hoffmann; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16307-16354
In-Context Fine-Tuning for Time-Series Foundation Models
Matthew Faw, Rajat Sen, Yichen Zhou, Abhimanyu Das; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16355-16374
DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications
Ibrahim Fayad, Max Zimmer, Martin Schwartz, Fabian Gieseke, Philippe Ciais, Gabriel Belouze, Sarah Brood, Aurélien De Truchis, Alexandre D’Aspremont; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16375-16406
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems
Arya Fayyazi, Mehdi Kamal, Massoud Pedram; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16407-16422
On Path to Multimodal Generalist: General-Level and General-Bench
Hao Fei, Yuan Zhou, Juncheng Li, Xiangtai Li, Qingshan Xu, Bobo Li, Shengqiong Wu, Yaoting Wang, Junbao Zhou, Jiahao Meng, Qingyu Shi, Zhiyuan Zhou, Liangtao Shi, Minghe Gao, Daoan Zhang, Zhiqi Ge, Siliang Tang, Kaihang Pan, Yaobo Ye, Haobo Yuan, Tao Zhang, Weiming Wu, Tianjie Ju, Zixiang Meng, Shilin Xu, Liyu Jia, Wentao Hu, Meng Luo, Jiebo Luo, Tat-Seng Chua, Shuicheng Yan, Hanwang Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16423-16542
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
Thomas Fel, Ekdeep Singh Lubana, Jacob S. Prince, Matthew Kowal, Victor Boutin, Isabel Papadimitriou, Binxu Wang, Martin Wattenberg, Demba E. Ba, Talia Konkle; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16543-16572
Local Pan-privacy for Federated Analytics
Vitaly Feldman, Audra Mcmillan, Guy N. Rothblum, Kunal Talwar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16573-16588
Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams
Yuan Feng, Yukun Cao, Hairu Wang, Xike Xie, S Kevin Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16589-16603
OmiAD: One-Step Adaptive Masked Diffusion Model for Multi-class Anomaly Detection via Adversarial Distillation
Yaoxuan Feng, Wenchao Chen, Yuxin Li, Bo Chen, Yubiao Wang, Zixuan Zhao, Hongwei Liu, Mingyuan Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16604-16633
On Differential Privacy for Adaptively Solving Search Problems via Sketching
Shiyuan Feng, Ying Feng, George Zhaoqi Li, Zhao Song, David Woodruff, Lichen Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16634-16669
Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games
Yi Feng, Kaito Fujii, Stratis Skoulakis, Xiao Wang, Volkan Cevher; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16670-16710
Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity
Wanjin Feng, Xingyu Gao, Wenqian Du, Hailong Shi, Peilin Zhao, Pengcheng Wu, Chunyan Miao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16711-16726
Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries
Xuening Feng, Zhaohui Jiang, Timo Kaufmann, Eyke Hüllermeier, Paul Weng, Yifei Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16727-16743
PILAF: Optimal Human Preference Sampling for Reward Modeling
Yunzhen Feng, Ariel Kwiatkowski, Kunhao Zheng, Julia Kempe, Yaqi Duan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16744-16776
Perceptually Constrained Precipitation Nowcasting Model
Wenzhi Feng, Xutao Li, Zhe Wu, Kenghong Lin, Demin Yu, Yunming Ye, Yaowei Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16777-16795
Multi-Modal Object Re-identification via Sparse Mixture-of-Experts
Yingying Feng, Jie Li, Chi Xie, Lei Tan, Jiayi Ji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16796-16807
ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think
Tao Feng, Wei Li, Didi Zhu, Hangjie Yuan, Wendi Zheng, Dan Zhang, Jie Tang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16808-16824
HEAP: Hyper Extended A-PDHG Operator for Constrained High-dim PDEs
Mingquan Feng, Weixin Liao, Yixin Huang, Yifan Fu, Qifu Zheng, Junchi Yan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16825-16836
TAROT: Targeted Data Selection via Optimal Transport
Lan Feng, Fan Nie, Yuejiang Liu, Alexandre Alahi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16837-16852
Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts
Jiahai Feng, Stuart Russell, Jacob Steinhardt; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16853-16883
Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning
Lang Feng, Weihao Tan, Zhiyi Lyu, Longtao Zheng, Haiyang Xu, Ming Yan, Fei Huang, Bo An; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16884-16903
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence
Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16904-16930
Graph World Model
Tao Feng, Yexin Wu, Guanyu Lin, Jiaxuan You; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16931-16955
Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
Weilun Feng, Chuanguang Yang, Haotong Qin, Xiangqi Li, Yu Wang, Zhulin An, Libo Huang, Boyu Diao, Zixiang Zhao, Yongjun Xu, Michele Magno; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16956-16976
Regularized Langevin Dynamics for Combinatorial Optimization
Shengyu Feng, Yiming Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16977-16992
On the Guidance of Flow Matching
Ruiqi Feng, Chenglei Yu, Wenhao Deng, Peiyan Hu, Tailin Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:16993-17029
CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features
Xiaokun Feng, Dailing Zhang, Shiyu Hu, Xuchen Li, Meiqi Wu, Jing Zhang, Xiaotang Chen, Kaiqi Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17030-17048
BiMark: Unbiased Multilayer Watermarking for Large Language Models
Xiaoyan Feng, He Zhang, Yanjun Zhang, Leo Yu Zhang, Shirui Pan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17049-17067
Dual Feature Reduction for the Sparse-group Lasso and its Adaptive Variant
Fabio Feser, Marina Evangelou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17068-17099
WildChat-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training
Benjamin Feuer, Chinmay Hegde; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17100-17130
The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback
Côme Fiegel, Pierre Menard, Tadashi Kozuno, Michal Valko, Vianney Perchet; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17131-17152
GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras
Ekaterina Filimoshina, Dmitry Shirokov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17153-17188
Faster Approximation Algorithms for k-Center via Data Reduction
Arnold Filtser, Shaofeng H.-C. Jiang, Yi Li, Anurag Murty Naredla, Ioannis Psarros, Qiaoyuan Yang, Qin Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17189-17202
Improving the Effective Receptive Field of Message-Passing Neural Networks
Shahaf E. Finder, Ron Shapira Weber, Moshe Eliasof, Oren Freifeld, Eran Treister; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17203-17220
From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set
Mara Finkelstein, Daniel Deutsch, Parker Riley, Juraj Juraska, Geza Kovacs, Markus Freitag; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17221-17238
The Value of Prediction in Identifying the Worst-Off
Unai Fischer-Abaigar, Christoph Kern, Juan Carlos Perdomo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17239-17261
Generalized Random Forests Using Fixed-Point Trees
David Fleischer, David A. Stephens, Archer Y. Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17262-17305
The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret
Lukas Fluri, Leon Lang, Alessandro Abate, Patrick Forré, David Krueger, Joar Max Viktor Skalse; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17306-17377
FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation
Kei Sen Fong, Mehul Motani; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17378-17391
Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms
Kei Sen Fong, Mehul Motani; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17392-17410
LSCD: Lomb–Scargle Conditioned Diffusion for Time series Imputation
Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Luciana Ferrer, Svitlana Vyetrenko, Manuela Veloso; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17411-17436
Action-Dependent Optimality-Preserving Reward Shaping
Grant Collier Forbes, Jianxun Wang, Leonardo Villalobos-Arias, Arnav Jhala, David Roberts; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17437-17451
SHARP-Distill: A 68$\times$ Faster Recommender System with Hypergraph Neural Networks and Language Models
Saman Forouzandeh, Parham Moradi, Mahdi Jalili; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17452-17488
Adaptive Flow Matching for Resolving Small-Scale Physics
Stathi Fotiadis, Noah D Brenowitz, Tomas Geffner, Yair Cohen, Michael Pritchard, Arash Vahdat, Morteza Mardani; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17489-17521
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse
Gregoire Fournier, Sourav Medya; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17522-17541
S4S: Solving for a Fast Diffusion Model Solver
Eric Frankel, Sitan Chen, Jerry Li, Pang Wei Koh, Lillian J. Ratliff, Sewoong Oh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17542-17574
Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents
Eric Frankel, Kshitij Kulkarni, Dmitriy Drusvyatskiy, Sewoong Oh, Lillian J. Ratliff; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17575-17656
Product of Experts with LLMs: Boosting Performance on ARC Is a Matter of Perspective
Daniel Franzen, Jan Disselhoff, David Hartmann; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17657-17671
Prompt-to-Leaderboard: Prompt-Adaptive LLM Evaluations
Evan Frick, Connor Chen, Joseph Tennyson, Tianle Li, Wei-Lin Chiang, Anastasios Nikolas Angelopoulos, Ion Stoica; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17672-17689
Learning Mixtures of Experts with EM: A Mirror Descent Perspective
Quentin Fruytier, Aryan Mokhtari, Sujay Sanghavi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17690-17726
Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective
Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Shirui Pan, Chuan Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17727-17745
EmoGrowth: Incremental Multi-label Emotion Decoding with Augmented Emotional Relation Graph
Kaicheng Fu, Changde Du, Jie Peng, Kunpeng Wang, Shuangchen Zhao, Xiaoyu Chen, Huiguang He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17746-17763
Fast Large Language Model Collaborative Decoding via Speculation
Jiale Fu, Yuchu Jiang, Junkai Chen, Jiaming Fan, Xin Geng, Xu Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17764-17782
ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding
Xingyu Fu, Minqian Liu, Zhengyuan Yang, John Richard Corring, Yijuan Lu, Jianwei Yang, Dan Roth, Dinei Florencio, Cha Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17783-17805
PoisonBench: Assessing Language Model Vulnerability to Poisoned Preference Data
Tingchen Fu, Mrinank Sharma, Philip Torr, Shay B Cohen, David Krueger, Fazl Barez; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17806-17831
Knowledge Retention in Continual Model-Based Reinforcement Learning
Haotian Fu, Yixiang Sun, Michael Littman, George Konidaris; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17832-17851
CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation
Minghao Fu, Guo-Hua Wang, Liangfu Cao, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17852-17874
Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction
Xiang Fu, Brandon M Wood, Luis Barroso-Luque, Daniel S. Levine, Meng Gao, Misko Dzamba, C. Lawrence Zitnick; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17875-17893
PiD: Generalized AI-Generated Images Detection with Pixelwise Decomposition Residuals
Xinghe Fu, Zhiyuan Yan, Zheng Yang, Taiping Yao, Yandan Zhao, Shouhong Ding, Xi Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17894-17908
On the Statistical Mechanisms of Distributional Compositional Generalization
Jingwen Fu, Nanning Zheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17909-17927
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory
Dominik Fuchsgruber, Tom Wollschläger, Johannes Bordne, Stephan Günnemann; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17928-17959
Gradient Boosting Reinforcement Learning
Benjamin Fuhrer, Chen Tessler, Gal Dalal; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17960-17985
PAC-Bayes Analysis for Recalibration in Classification
Masahiro Fujisawa, Futoshi Futami; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:17986-18023
Meta Optimality for Demographic Parity Constrained Regression via Post-Processing
Kazuto Fukuchi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18024-18046
Generalized additive models via direct optimization of regularized decision stump forests
Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18047-18061
Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead
Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan Greenewald, Mikhail Yurochkin, Justin Solomon; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18062-18095
Parameter-Efficient Fine-Tuning of State Space Models
Kevin Galim, Wonjun Kang, Yuchen Zeng, Hyung Il Koo, Kangwook Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18096-18131
More Than Meets the Eye: Enhancing Multi-Object Tracking Even with Prolonged Occlusions
Bishoy Galoaa, Somaieh Amraee, Sarah Ostadabbas; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18132-18142
Sanity Checking Causal Representation Learning on a Simple Real-World System
Juan L. Gamella, Simon Bing, Jakob Runge; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18143-18169
Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning
Zeyu Gan, Yun Liao, Yong Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18170-18188
It’s My Data Too: Private ML for Datasets with Multi-User Training Examples
Arun Ganesh, Ryan Mckenna, Hugh Brendan Mcmahan, Adam Smith, Fan Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18189-18205
A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach
Swetha Ganesh, Washim Uddin Mondal, Vaneet Aggarwal; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18206-18227
Feasible Action Search for Bandit Linear Programs via Thompson Sampling
Aditya Gangrade, Aldo Pacchiano, Clayton Scott, Venkatesh Saligrama; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18228-18256
Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes
Bhargav Ganguly, Yang Xu, Vaneet Aggarwal; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18257-18276
AnalogGenie-Lite: Enhancing Scalability and Precision in Circuit Topology Discovery through Lightweight Graph Modeling
Jian Gao, Weidong Cao, Xuan Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18277-18289
Controlling Underestimation Bias in Constrained Reinforcement Learning for Safe Exploration
Shiqing Gao, Jiaxin Ding, Luoyi Fu, Xinbing Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18290-18316
Bridging Fairness and Efficiency in Conformal Inference: A Surrogate-Assisted Group-Clustered Approach
Chenyin Gao, Peter B. Gilbert, Larry Han; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18317-18336
Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization
Weizhi Gao, Zhichao Hou, Junqi Yin, Feiyi Wang, Linyu Peng, Xiaorui Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18337-18362
Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures
Jie Gao, Rajesh Jayaram, Benedikt Kolbe, Shay Sapir, Chris Schwiegelshohn, Sandeep Silwal, Erik Waingarten; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18363-18385
Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
Chengqian Gao, Haonan Li, Liu Liu, Zeke Xie, Peilin Zhao, Zhiqiang Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18386-18409
Complete-Tree Space Favors Data-Efficient Link Prediction
Chi Gao, Lukai Li, Yancheng Zhou, Shangqi Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18410-18429
MARGE: Improving Math Reasoning with Guided Exploration
Jingyue Gao, Runji Lin, Keming Lu, Bowen Yu, Junyang Lin, Jianyu Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18430-18452
Model Uncertainty Quantification by Conformal Prediction in Continual Learning
Rui Gao, Weiwei Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18453-18469
EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers
Daiheng Gao, Shilin Lu, Wenbo Zhou, Jiaming Chu, Jie Zhang, Mengxi Jia, Bang Zhang, Zhaoxin Fan, Weiming Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18470-18494
Volume Optimality in Conformal Prediction with Structured Prediction Sets
Chao Gao, Liren Shan, Vaidehi Srinivas, Aravindan Vijayaraghavan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18495-18527
Neural Solver Selection for Combinatorial Optimization
Chengrui Gao, Haopu Shang, Ke Xue, Chao Qian; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18528-18549
Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing
Kaifeng Gao, Jiaxin Shi, Hanwang Zhang, Chunping Wang, Jun Xiao, Long Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18550-18565
NExtLong: Toward Effective Long-Context Training without Long Documents
Chaochen Gao, Xing W, Zijia Lin, Debing Zhang, Songlin Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18566-18584
LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification
Hang Gao, Huang Wenxuan, Fengge Wu, Zhao Junsuo, Changwen Zheng, Huaping Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18585-18611
Metadata Conditioning Accelerates Language Model Pre-training
Tianyu Gao, Alexander Wettig, Luxi He, Yihe Dong, Sadhika Malladi, Danqi Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18612-18629
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
Chen-Xiao Gao, Chenyang Wu, Mingjun Cao, Chenjun Xiao, Yang Yu, Zongzhang Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18630-18657
OneForecast: A Universal Framework for Global and Regional Weather Forecasting
Yuan Gao, Hao Wu, Ruiqi Shu, Huanshuo Dong, Fan Xu, Rui Ray Chen, Yibo Yan, Qingsong Wen, Xuming Hu, Kun Wang, Jiahao Wu, Li Qing, Hui Xiong, Xiaomeng Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18658-18697
Doubly Protected Estimation for Survival Outcomes Utilizing External Controls for Randomized Clinical Trials
Chenyin Gao, Shu Yang, Mingyang Shan, Wenyu Ye, Ilya Lipkovich, Douglas Faries; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18698-18723
REG: Rectified Gradient Guidance for Conditional Diffusion Models
Zhengqi Gao, Kaiwen Zha, Tianyuan Zhang, Zihui Xue, Duane S Boning; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18724-18743
AdaWorld: Learning Adaptable World Models with Latent Actions
Shenyuan Gao, Siyuan Zhou, Yilun Du, Jun Zhang, Chuang Gan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18744-18771
Extreme Value Policy Optimization for Safe Reinforcement Learning
Shiqing Gao, Yihang Zhou, Shuai Shao, Haoyu Luo, Yiheng Bing, Jiaxin Ding, Luoyi Fu, Xinbing Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18772-18793
Robust ML Auditing using Prior Knowledge
Jade Garcia Bourrée, Augustin Godinot, Sayan Biswas, Anne-Marie Kermarrec, Erwan Le Merrer, Gilles Tredan, Martijn De Vos, Milos Vujasinovic; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18794-18810
Persistent Topological Features in Large Language Models
Yuri Gardinazzi, Karthik Viswanathan, Giada Panerai, Alessio Ansuini, Alberto Cazzaniga, Matteo Biagetti; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18811-18830
How Transformers Learn Structured Data: Insights From Hierarchical Filtering
Jerome Garnier-Brun, Marc Mezard, Emanuele Moscato, Luca Saglietti; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18831-18847
Improving the Statistical Efficiency of Cross-Conformal Prediction
Matteo Gasparin, Aaditya Ramdas; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18848-18867
Unified Breakdown Analysis for Byzantine Robust Gossip
Renaud Gaucher, Aymeric Dieuleveut, Hadrien Hendrikx; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18868-18896
Statistical Collusion by Collectives on Learning Platforms
Etienne Gauthier, Francis Bach, Michael I. Jordan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18897-18919
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces
Loris Gaven, Thomas Carta, Clément Romac, Cédric Colas, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18920-18953
Stochastic Online Conformal Prediction with Semi-Bandit Feedback
Haosen Ge, Hamsa Bastani, Osbert Bastani; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18954-18965
Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks
Luise Ge, Michael Lanier, Anindya Sarkar, Bengisu Guresti, Chongjie Zhang, Yevgeniy Vorobeychik; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18966-18988
Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games
Jiawei Ge, Yuanhao Wang, Wenzhe Li, Chi Jin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:18989-19010
Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning
Chendi Ge, Xin Wang, Zeyang Zhang, Hong Chen, Jiapei Fan, Longtao Huang, Hui Xue, Wenwu Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19011-19033
RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning
Jonas Gehring, Kunhao Zheng, Jade Copet, Vegard Mella, Taco Cohen, Gabriel Synnaeve; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19034-19055
Towards flexible perception with visual memory
Robert Geirhos, Priyank Jaini, Austin Stone, Sourabh Medapati, Xi Yi, George Toderici, Abhijit Ogale, Jonathon Shlens; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19056-19081
REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective
Simon Geisler, Tom Wollschläger, M. H. I. Abdalla, Vincent Cohen-Addad, Johannes Gasteiger, Stephan Günnemann; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19082-19111
Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion
David Geissbühler, Hatef Otroshi Shahreza, Sébastien Marcel; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19112-19136
Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning
Ian Gemp, Andreas Alexander Haupt, Luke Marris, Siqi Liu, Georgios Piliouras; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19137-19160
Hybrid Quantum-Classical Multi-Agent Pathfinding
Thore Gerlach, Loong Kuan Lee, Frederic Barbaresco, Nico Piatkowski; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19161-19171
Time Series Representations with Hard-Coded Invariances
Thibaut Germain, Chrysoula Kosma, Laurent Oudre; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19172-19195
Universal Neural Optimal Transport
Jonathan Geuter, Gregor Kornhardt, Ingimar Tomasson, Vaios Laschos; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19196-19232
Dialogue Without Limits: Constant-Sized KV Caches for Extended Response in LLMs
Ravi Ghadia, Avinash Kumar, Gaurav Jain, Prashant J. Nair, Poulami Das; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19233-19247
Fast Tensor Completion via Approximate Richardson Iteration
Mehrdad Ghadiri, Matthew Fahrbach, Yunbum Kook, Ali Jadbabaie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19248-19265
Sample-Optimal Agnostic Boosting with Unlabeled Data
Udaya Ghai, Karan Singh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19266-19285
QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles for model-monitoring
Nikhil Pratap Ghanathe, Steven J E Wilton; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19286-19306
Memorization Sinks: Isolating Memorization during LLM Training
Gaurav Rohit Ghosal, Pratyush Maini, Aditi Raghunathan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19307-19326
Learning Condensed Graph via Differentiable Atom Mapping for Reaction Yield Prediction
Ankit Ghosh, Gargee Kashyap, Sarthak Mittal, Nupur Jain, Raghavan B Sunoj, Abir De; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19327-19357
Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities
Sreyan Ghosh, Zhifeng Kong, Sonal Kumar, S Sakshi, Jaehyeon Kim, Wei Ping, Rafael Valle, Dinesh Manocha, Bryan Catanzaro; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19358-19405
Online Learning in Risk Sensitive constrained MDP
Arnob Ghosh, Mehrdad Moharrami; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19406-19425
Fraud-Proof Revenue Division on Subscription Platforms
Abheek Ghosh, Tzeh Yuan Neoh, Nicholas Teh, Giannis Tyrovolas; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19426-19436
Improved and Oracle-Efficient Online $\ell_1$-Multicalibration
Rohan Ghuge, Vidya Muthukumar, Sahil Singla; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19437-19457
Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery
Paris Giampouras, Hanqin Cai, Rene Vidal; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19458-19479
EEG-Language Pretraining for Highly Label-Efficient Clinical Phenotyping
Sam Gijsen, Kerstin Ritter; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19480-19504
Optimizing Noise Distributions for Differential Privacy
Atefeh Gilani, Juan Felipe Gomez, Shahab Asoodeh, Flavio Calmon, Oliver Kosut, Lalitha Sankar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19505-19522
Score Matching with Missing Data
Josh Givens, Song Liu, Henry Reeve; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19523-19561
Discovering Spoofing Attempts on Language Model Watermarks
Thibaud Gloaguen, Nikola Jovanović, Robin Staab, Martin Vechev; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19562-19584
When can in-context learning generalize out of task distribution?
Chase Goddard, Lindsay M. Smith, Vudtiwat Ngampruetikorn, David J. Schwab; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19585-19599
R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning
Harsh Goel, Mohammad Omama, Behdad Chalaki, Vaishnav Tadiparthi, Ehsan Moradi Pari, Sandeep P. Chinchali; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19600-19620
Great Models Think Alike and this Undermines AI Oversight
Shashwat Goel, Joschka Strüber, Ilze Amanda Auzina, Karuna K Chandra, Ponnurangam Kumaraguru, Douwe Kiela, Ameya Prabhu, Matthias Bethge, Jonas Geiping; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19621-19678
SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy
Yong Liang Goh, Zhiguang Cao, Yining Ma, Jianan Zhou, Mohammed Haroon Dupty, Wee Sun Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19679-19711
Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream
Abdulkadir Gokce, Martin Schrimpf; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19712-19733
EcoMapper: Generative Modeling for Climate-Aware Satellite Imagery
Muhammed Goktepe, Amir Hossein Shamseddin, Erencan Uysal, Javier Muinelo Monteagudo, Lukas Drees, Aysim Toker, Senthold Asseng, Malte Von Bloh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19734-19754
Detecting Strategic Deception with Linear Probes
Nicholas Goldowsky-Dill, Bilal Chughtai, Stefan Heimersheim, Marius Hobbhahn; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19755-19786
Sort Before You Prune: Improved Worst-Case Guarantees of the DiskANN Family of Graphs
Siddharth Gollapudi, Ravishankar Krishnaswamy, Kirankumar Shiragur, Harsh Wardhan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19787-19808
The Role of Sparsity for Length Generalization in LLMs
Noah Golowich, Samy Jelassi, David Brandfonbrener, Sham M. Kakade, Eran Malach; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19809-19840
Learning Safe Strategies for Value Maximizing Buyers in Uniform Price Auctions
Negin Golrezaei, Sourav Sahoo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19841-19877
AdaSplash: Adaptive Sparse Flash Attention
Nuno Gonçalves, Marcos V Treviso, Andre Martins; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19878-19896
Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes
Zhuocheng Gong, Jian Guan, Wei Wu, Huishuai Zhang, Dongyan Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19897-19911
Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models
Shizhan Gong, Yankai Jiang, Qi Dou, Farzan Farnia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19912-19931
Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization
Ziyu Gong, Jim Lim, David I. Inouye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19932-19963
PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation
Albert Gong, Kamilė Stankevičiūtė, Chao Wan, Anmol Kabra, Raphael Thesmar, Johann Lee, Julius Klenke, Carla P Gomes, Kilian Q Weinberger; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19964-19995
Outlier-Aware Post-Training Quantization for Discrete Graph Diffusion Models
Zheng Gong, Ying Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:19996-20015
Human Body Restoration with One-Step Diffusion Model and A New Benchmark
Jue Gong, Jingkai Wang, Zheng Chen, Xing Liu, Hong Gu, Yulun Zhang, Xiaokang Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20016-20026
Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning
Xudong Gong, Sen Yang, Feng Dawei, Kele Xu, Bo Ding, Huaimin Wang, Yong Dou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20027-20046
A Rescaling-Invariant Lipschitz Bound Based on Path-Metrics for Modern ReLU Network Parameterizations
Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20047-20074
Fast Inference with Kronecker-Sparse Matrices
Antoine Gonon, Léon Zheng, Pascal Carrivain, Tung Quoc Le; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20075-20102
Calibrated Physics-Informed Uncertainty Quantification
Vignesh Gopakumar, Ander Gray, Lorenzo Zanisi, Timothy Nunn, Daniel Giles, Matt Kusner, Stanislas Pamela, Marc Peter Deisenroth; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20103-20141
Boosting Adversarial Robustness with CLAT: Criticality Leveraged Adversarial Training
Bhavna Gopal, Huanrui Yang, Jingyang Zhang, Mark Horton, Yiran Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20142-20161
Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time
Gramoz Goranci, Peter Kiss, Neel Patel, Martin P. Seybold, Eva Szilagyi, Da Wei Zheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20162-20186
CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation
Aditya Gorla, Ryan Wang, Zhengtong Liu, Ulzee An, Sriram Sankararaman; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20187-20225
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging
Leon Götz, Marcel Kollovieh, Stephan Günnemann, Leo Schwinn; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20226-20246
Masked Generative Nested Transformers with Decode Time Scaling
Sahil Goyal, Debapriya Tula, Gagan Jain, Pradeep Shenoy, Prateek Jain, Sujoy Paul; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20247-20265
Test-Time Training Provably Improves Transformers as In-context Learners
Halil Alperen Gozeten, Muhammed Emrullah Ildiz, Xuechen Zhang, Mahdi Soltanolkotabi, Marco Mondelli, Samet Oymak; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20266-20295
Clustering Items through Bandit Feedback: Finding the Right Feature out of Many
Maximilian Graf, Thuot Victor, Nicolas Verzelen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20296-20325
The Importance of Being Lazy: Scaling Limits of Continual Learning
Jacopo Graldi, Alessandro Breccia, Giulia Lanzillotta, Thomas Hofmann, Lorenzo Noci; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20326-20367
Point-Level Topological Representation Learning on Point Clouds
Vincent Peter Grande, Michael T Schaub; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20368-20398
Is Complex Query Answering Really Complex?
Cosimo Gregucci, Bo Xiong, Daniel Hernández, Lorenzo Loconte, Pasquale Minervini, Steffen Staab, Antonio Vergari; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20399-20428
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
Karish Grover, Geoffrey J. Gordon, Christos Faloutsos; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20429-20447
VerbalTS: Generating Time Series from Texts
Shuqi Gu, Chuyue Li, Baoyu Jing, Kan Ren; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20448-20476
Auditing Prompt Caching in Language Model APIs
Chenchen Gu, Xiang Lisa Li, Rohith Kuditipudi, Percy Liang, Tatsunori Hashimoto; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20477-20496
Delta Decompression for MoE-based LLMs Compression
Hao Gu, Wei Li, Lujun Li, Zhu Qiyuan, Mark G. Lee, Shengjie Sun, Wei Xue, Yike Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20497-20514
Binary Hypothesis Testing for Softmax Models and Leverage Score Models
Yuzhou Gu, Zhao Song, Junze Yin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20515-20536
Enhancing Logits Distillation with Plug&Play Kendall’s $τ$ Ranking Loss
Yuchen Guan, Runxi Cheng, Kang Liu, Chun Yuan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20537-20552
SGD Jittering: A Training Strategy for Robust and Accurate Model-Based Architectures
Peimeng Guan, Mark A. Davenport; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20553-20571
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety
Zihan Guan, Mengxuan Hu, Ronghang Zhu, Sheng Li, Anil Vullikanti; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20572-20597
QMamba: On First Exploration of Vision Mamba for Image Quality Assessment
Fengbin Guan, Xin Li, Zihao Yu, Yiting Lu, Zhibo Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20598-20611
Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data
Zhong Guan, Likang Wu, Hongke Zhao, Ming He, Jianping Fan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20612-20639
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Xinyu Guan, Li Lyna Zhang, Yifei Liu, Ning Shang, Youran Sun, Yi Zhu, Fan Yang, Mao Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20640-20661
Discovering Physics Laws of Dynamical Systems via Invariant Function Learning
Shurui Gui, Xiner Li, Shuiwang Ji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20662-20693
HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking
Runquan Gui, Zhihai Wang, Jie Wang, Chi Ma, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20694-20722
Putnam-AXIOM: A Functional & Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs
Aryan Gulati, Brando Miranda, Eric Chen, Emily Xia, Kai Fronsdal, Bruno De Moraes Dumont, Sanmi Koyejo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20723-20747
Active feature acquisition via explainability-driven ranking
Osman Berke Guney, Ketan Suhaas Saichandran, Karim Elzokm, Ziming Zhang, Vijaya B Kolachalama; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20748-20765
SlimLLM: Accurate Structured Pruning for Large Language Models
Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20766-20776
Boosting Protein Graph Representations through Static-Dynamic Fusion
Pengkang Guo, Bruno Correia, Pierre Vandergheynst, Daniel Probst; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20777-20792
Towards Lifelong Model Editing via Simulating Ideal Editor
Yaming Guo, Siyang Guo, Hengshu Zhu, Ying Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20793-20824
Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data
Siqi Guo, Ilgee Hong, Vicente Balmaseda, Changlong Yu, Liang Qiu, Xin Liu, Haoming Jiang, Tuo Zhao, Tianbao Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20825-20842
BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing
Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20843-20857
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
Hang Guo, Yawei Li, Tao Dai, Shu-Tao Xia, Luca Benini; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20858-20879
On the Diversity of Adversarial Ensemble Learning
Jun-Qi Guo, Meng-Zhang Qian, Wei Gao, Zhi-Hua Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20880-20902
Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in sEMG Analysis
Weiyu Guo, Ziyue Qiao, Ying Sun, Yijie Xu, Hui Xiong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20903-20920
Variational Rectified Flow Matching
Pengsheng Guo, Alex Schwing; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20921-20940
Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images
Zhengrui Guo, Qichen Sun, Jiabo Ma, Lishuang Feng, Jinzhuo Wang, Hao Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20941-20963
Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization
Phillip Huang Guo, Aaquib Syed, Abhay Sheshadri, Aidan Ewart, Gintare Karolina Dziugaite; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20964-20992
SyncMind: Measuring Agent Out-of-Sync Recovery in Collaborative Software Engineering
Xuehang Guo, Xingyao Wang, Yangyi Chen, Sha Li, Chi Han, Manling Li, Heng Ji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:20993-21066
Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
Kaiyu Guo, Zijian Wang, Tan Pan, Brian C. Lovell, Mahsa Baktashmotlagh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21067-21082
RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing
Jinyao Guo, Chengpeng Wang, Xiangzhe Xu, Zian Su, Xiangyu Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21083-21100
SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services
Hongcheng Guo, Yue Wang, Shaosheng Cao, Fei Zhao, Boyang Wang, Lei Li, Liang Chen, Xinze Lyu, Zhe Xu, Yao Hu, Zhoujun Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21101-21137
Interpolating Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems
Jiachen Guo, Xiaoyu Xie, Chanwook Park, Hantao Zhang, Matthew J. Politis, Gino Domel, Wing Kam Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21138-21162
Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models
Xichen Guo, Feng Xie, Yan Zeng, Hao Zhang, Zhi Geng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21163-21183
RBench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation
Meng-Hao Guo, Jiajun Xu, Yi Zhang, Jiaxi Song, Haoyang Peng, Yi-Xuan Deng, Xinzhi Dong, Kiyohiro Nakayama, Zhengyang Geng, Chen Wang, Bolin Ni, Guo-Wei Yang, Yongming Rao, Houwen Peng, Han Hu, Gordon Wetzstein, Shi-Min Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21184-21201
UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation
Qin Guo, Ailing Zeng, Dongxu Yue, Ceyuan Yang, Yang Cao, Hanzhong Guo, Fei Shen, Wei Liu, Xihui Liu, Dan Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21202-21219
ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks
Yufei Guo, Yuhan Zhang, Zhou Jie, Xiaode Liu, Xin Tong, Yuanpei Chen, Weihang Peng, Zhe Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21220-21231
TeDS: Joint Learning of Diachronic and Synchronic Perspectives in Quaternion Space for Temporal Knowledge Graph Completion
Jiujiang Guo, Mankun Zhao, Wenbin Zhang, Tianyi Xu, Linying Xu, Yu Jian, Yu Mei, Yu Ruiguo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21232-21251
Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints
Hengquan Guo, Lingkai Zu, Xin Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21252-21276
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
Guoguo Ai, Guansong Pang, Hezhe Qiao, Yuan Gao, Hui Yan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21277-21296
LAST SToP for Modeling Asynchronous Time Series
Shubham Gupta, Thibaut Durand, Graham W. Taylor, Lilian Bialokozowicz; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21297-21321
A Machine Learning Approach to Duality in Statistical Physics
Prateek Gupta, Andrea E. V. Ferrari, Nabil Iqbal; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21322-21341
AMPO: Active Multi Preference Optimization for Self-play Preference Selection
Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21342-21368
AlphaPO: Reward Shape Matters for LLM Alignment
Aman Gupta, Shao Tang, Qingquan Song, Sirou Zhu, Jiwoo Hong, Ankan Saha, Viral Gupta, Noah Lee, Eunki Kim, Siyu Zhu, Parag Agrawal, Natesh S. Pillai, Sathiya Keerthi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21369-21394
PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity
Mustafa Burak Gurbuz, Xingyu Zheng, Constantine Dovrolis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21395-21417
HiRemate: Hierarchical Approach for Efficient Re-materialization of Neural Networks
Julia Gusak, Xunyi Zhao, Théotime Le Hellard, Zhe Li, Lionel Eyraud-Dubois, Olivier Beaumont; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21418-21443
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics
Aleksandr Gushchin, Khaled Abud, Georgii Bychkov, Ekaterina Shumitskaya, Anna Chistyakova, Sergey Lavrushkin, Bader Rasheed, Kirill Malyshev, Dmitriy S. Vatolin, Anastasia Antsiferova; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21444-21470
Inverse Bridge Matching Distillation
Nikita Gushchin, David Li, Daniil Selikhanovych, Evgeny Burnaev, Dmitry Baranchuk, Alexander Korotin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21471-21496
From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
Bernal Jiménez Gutiérrez, Yiheng Shu, Weijian Qi, Sizhe Zhou, Yu Su; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21497-21515
Exponential Family Variational Flow Matching for Tabular Data Generation
Andrés Guzmán-Cordero, Floor Eijkelboom, Jan-Willem Van De Meent; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21516-21529
Limitations of measure-first protocols in quantum machine learning
Casper Gyurik, Riccardo Molteni, Vedran Dunjko; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21530-21545
Predicting the Susceptibility of Examples to Catastrophic Forgetting
Guy Hacohen, Tinne Tuytelaars; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21546-21569
Learning Extrapolative Sequence Transformations from Markov Chains
Sophia Hager, Aleem Khan, Andrew Wang, Nicholas Andrews; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21570-21590
Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty
Meera Hahn, Wenjun Zeng, Nithish Kannen, Rich Galt, Kartikeya Badola, Been Kim, Zi Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21591-21628
Hierarchical Refinement: Optimal Transport to Infinity and Beyond
Peter Halmos, Julian Gold, Xinhao Liu, Benjamin Raphael; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21629-21661
Quantifying Prediction Consistency Under Fine-tuning Multiplicity in Tabular LLMs
Faisal Hamman, Pasan Dissanayake, Saumitra Mishra, Freddy Lecue, Sanghamitra Dutta; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21662-21684
Of Mice and Machines: A Comparison of Learning Between Real World Mice and RL Agents
Shuo Han, German Espinosa, Junda Huang, Daniel Dombeck, Malcolm A. Maciver, Bradly C. Stadie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21685-21703
Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?
Yujin Han, Andi Han, Wei Huang, Chaochao Lu, Difan Zou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21704-21732
On the Role of Label Noise in the Feature Learning Process
Andi Han, Wei Huang, Zhanpeng Zhou, Gang Niu, Wuyang Chen, Junchi Yan, Akiko Takeda, Taiji Suzuki; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21733-21773
Retrieval Augmented Time Series Forecasting
Sungwon Han, Seungeon Lee, Meeyoung Cha, Sercan O Arik, Jinsung Yoon; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21774-21797
Ranked Entropy Minimization for Continual Test-Time Adaptation
Jisu Han, Jaemin Na, Wonjun Hwang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21798-21813
Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
Andi Han, Pierre-Louis Poirion, Akiko Takeda; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21814-21843
Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence
Yinbin Han, Meisam Razaviyayn, Renyuan Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21844-21870
Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective
Seungwook Han, Jinyeop Song, Jeff Gore, Pulkit Agrawal; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21871-21897
Flex3D: Feed-Forward 3D Generation with Flexible Reconstruction Model and Input View Curation
Junlin Han, Jianyuan Wang, Andrea Vedaldi, Philip Torr, Filippos Kokkinos; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21898-21915
MoRAgent: Parameter Efficient Agent Tuning with Mixture-of-Roles
Jing Han, Binwei Yan, Tianyu Guo, Zheyuan Bai, Mengyu Zheng, Hanting Chen, Ying Nie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21916-21931
Adaptive Median Smoothing: Adversarial Defense for Unlearned Text-to-Image Diffusion Models at Inference Time
Xiaoxuan Han, Songlin Yang, Wei Wang, Yang Li, Jing Dong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21932-21947
Heads up! Large Language Models Can Perform Tasks Without Your Instruction via Selective Attention Head Masking
Senyu Han, Hongchuan Zeng, Kai Yu, Lu Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21948-21973
Unveiling AI’s Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Shuangpeng Han, Mengmi Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21974-21994
Representation Preserving Multiclass Agnostic to Realizable Reduction
Steve Hanneke, Qinglin Meng, Amirreza Shaeiri; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21995-22008
A Trichotomy for List Transductive Online Learning
Steve Hanneke, Amirreza Shaeiri; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22009-22022
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation
Philippe Hansen-Estruch, David Yan, Ching-Yao Chuang, Orr Zohar, Jialiang Wang, Tingbo Hou, Tao Xu, Sriram Vishwanath, Peter Vajda, Xinlei Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22023-22043
Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark
Yunzhuo Hao, Jiawei Gu, Huichen Will Wang, Linjie Li, Zhengyuan Yang, Lijuan Wang, Yu Cheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22044-22090
SafeMap: Robust HD Map Construction from Incomplete Observations
Xiaoshuai Hao, Lingdong Kong, Rong Yin, Pengwei Wang, Jing Zhang, Yunfeng Diao, Shu Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22091-22102
Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation
Zecheng Hao, Qichao Ma, Kang Chen, Yi Zhang, Zhaofei Yu, Tiejun Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22103-22115
Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods
Yifan Hao, Xingyuan Pan, Hanning Zhang, Chenlu Ye, Rui Pan, Tong Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22116-22148
Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning
Md Yousuf Harun, Jhair Gallardo, Christopher Kanan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22149-22176
Optimal Decision Tree Pruning Revisited: Algorithms and Complexity
Juha Harviainen, Frank Sommer, Manuel Sorge, Stefan Szeider; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22177-22203
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
Aaron J Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Daniel S. Levine, Brandon M Wood, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22204-22237
Wasserstein Flow Matching: Generative Modeling Over Families of Distributions
Doron Haviv, Aram-Alexandre Pooladian, Dana Pe’Er, Brandon Amos; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22238-22258
Distillation of Discrete Diffusion through Dimensional Correlations
Satoshi Hayakawa, Yuhta Takida, Masaaki Imaizumi, Hiromi Wakaki, Yuki Mitsufuji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22259-22297
Generative Data Mining with Longtail-Guided Diffusion
David S Hayden, Mao Ye, Timur Garipov, Gregory P. Meyer, Carl Vondrick, Zhao Chen, Yuning Chai, Eric M Wolff, Siddhartha Srinivasa; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22298-22317
Double Machine Learning for Causal Inference under Shared-State Interference
Chris Hays, Manish Raghavan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22318-22350
Random Policy Evaluation Uncovers Policies of Generative Flow Networks
Haoran He, Emmanuel Bengio, Qingpeng Cai, Ling Pan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22351-22367
ZipAR: Parallel Autoregressive Image Generation through Spatial Locality
Yefei He, Feng Chen, Yuanyu He, Shaoxuan He, Hong Zhou, Kaipeng Zhang, Bohan Zhuang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22368-22378
DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
Changyi He, Yifu Ding, Jinyang Guo, Ruihao Gong, Haotong Qin, Xianglong Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22379-22391
Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
Run He, Di Fang, Yicheng Xu, Yawen Cui, Ming Li, Cen Chen, Ziqian Zeng, Huiping Zhuang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22392-22406
Double-Filter: Efficient Fine-tuning of Pre-trained Vision-Language Models via Patch&Layer Filtering
Yaoqin He, Junchen Fu, Kaiwen Zheng, Songpei Xu, Fuhai Chen, Jie Li, Joemon M. Jose, Xuri Ge; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22407-22421
SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution
Wenwen He, Wenke Huang, Bin Yang, Shukan Liu, Mang Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22422-22433
Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes
Jesse He, Helen Jenne, Herman Chau, Davis Brown, Mark Raugas, Sara C. Billey, Henry Kvinge; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22434-22455
ReferSplat: Referring Segmentation in 3D Gaussian Splatting
Shuting He, Guangquan Jie, Changshuo Wang, Yun Zhou, Shuming Hu, Guanbin Li, Henghui Ding; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22456-22467
Subspace Optimization for Large Language Models with Convergence Guarantees
Yutong He, Pengrui Li, Yipeng Hu, Chuyan Chen, Kun Yuan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22468-22522
Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains
Zhuo He, Shuang Li, Wenze Song, Longhui Yuan, Jian Liang, Han Li, Kun Gai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22523-22547
Going Deeper into Locally Differentially Private Graph Neural Networks
Longzhu He, Chaozhuo Li, Peng Tang, Sen Su; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22548-22565
Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning
Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22566-22579
Olica: Efficient Structured Pruning of Large Language Models without Retraining
Jiujun He, Huazhen Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22580-22594
Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction
Yiting He, Zhishuai Liu, Weixin Wang, Pan Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22595-22646
GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation
Jiashu He, Mingyu Derek Ma, Jinxuan Fan, Dan Roth, Wei Wang, Alejandro Ribeiro; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22647-22668
FuseUNet: A Multi-Scale Feature Fusion Method for U-like Networks
Quansong He, Xiangde Min, Kaishen Wang, Tao He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22669-22685
In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention
Jianliang He, Xintian Pan, Siyu Chen, Zhuoran Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22686-22742
Primal-Dual Neural Algorithmic Reasoning
Yu He, Ellen Vitercik; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22743-22766
Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction
Yi He, Yiming Yang, Xiaoyuan Cheng, Hai Wang, Xiao Xue, Boli Chen, Yukun Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22767-22791
Primphormer: Efficient Graph Transformers with Primal Representations
Mingzhen He, Ruikai Yang, Hanling Tian, Youmei Qiu, Xiaolin Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22792-22815
Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness
Qi He, Peiran Yu, Ziyi Chen, Heng Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22816-22835
A Closer Look at Backdoor Attacks on CLIP
Shuo He, Zhifang Zhang, Feng Liu, Roy Ka-Wei Lee, Bo An, Lei Feng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22836-22852
RUN: Reversible Unfolding Network for Concealed Object Segmentation
Chunming He, Rihan Zhang, Fengyang Xiao, Chengyu Fang, Longxiang Tang, Yulun Zhang, Linghe Kong, Deng-Ping Fan, Kai Li, Sina Farsiu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22853-22864
Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models
Yinhan He, Wendy Zheng, Yushun Dong, Yaochen Zhu, Chen Chen, Jundong Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22865-22880
DeepCrossAttention: Supercharging Transformer Residual Connections
Mike Heddes, Adel Javanmard, Kyriakos Axiotis, Gang Fu, Mohammadhossein Bateni, Vahab Mirrokni; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22881-22903
Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design
Marcel Hedman, Desi R. Ivanova, Cong Guan, Tom Rainforth; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22904-22923
To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models
Anna Hedström, Salim I. Amoukou, Tom Bewley, Saumitra Mishra, Manuela Veloso; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22924-22945
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features
Alec Helbling, Tuna Han Salih Meral, Benjamin Hoover, Pinar Yanardag, Duen Horng Chau; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22946-22963
LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
Lukas Helff, Felix Friedrich, Manuel Brack, Kristian Kersting, Patrick Schramowski; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22964-22987
Gradient Inversion of Multimodal Models
Omri Ben Hemo, Alon Zolfi, Oryan Yehezkel, Omer Hofman, Roman Vainshtein, Hisashi Kojima, Yuval Elovici, Asaf Shabtai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22988-23004
Secant Line Search for Frank-Wolfe Algorithms
Deborah Hendrych, Sebastian Pokutta, Mathieu Besançon, David Martı́nez-Rubio; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23005-23029
On the Duality between Gradient Transformations and Adapters
Lucas Torroba Hennigen, Hunter Lang, Han Guo, Yoon Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23030-23046
Neurosymbolic World Models for Sequential Decision Making
Leonardo Hernandez Cano, Maxine Perroni-Scharf, Neil Dhir, Arun Ramamurthy, Armando Solar-Lezama; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23047-23062
Measuring In-Context Computation Complexity via Hidden State Prediction
Vincent Herrmann, Róbert Csordás, Jürgen Schmidhuber; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23063-23082
Importance Corrected Neural JKO Sampling
Johannes Hertrich, Robert Gruhlke; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23083-23119
Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data
David Heurtel-Depeiges, Anian Ruoss, Joel Veness, Tim Genewein; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23120-23135
Decision-aware Training of Spatiotemporal Forecasting Models to Select a Top-K Subset of Sites for Intervention
Kyle Heuton, Frederick Muench, Shikhar Shrestha, Thomas J. Stopka, Michael C Hughes; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23136-23154
Flexible Tails for Normalizing Flows
Tennessee Hickling, Dennis Prangle; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23155-23178
Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings
Nong Minh Hieu, Antoine Ledent; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23179-23218
Direct Density Ratio Optimization: A Statistically Consistent Approach to Aligning Large Language Models
Rei Higuchi, Taiji Suzuki; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23219-23234
Guided Zeroth-Order Methods for Stochastic Non-convex Problems with Decision-Dependent Distributions
Yuya Hikima, Hiroshi Sawada, Akinori Fujino; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23235-23260
Logits are All We Need to Adapt Closed Models
Gaurush Hiranandani, Haolun Wu, Subhojyoti Mukherjee, Sanmi Koyejo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23261-23289
Models of Heavy-Tailed Mechanistic Universality
Liam Hodgkinson, Zhichao Wang, Michael W. Mahoney; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23290-23329
The Elicitation Game: Evaluating Capability Elicitation Techniques
Felix Hofstätter, Teun Van Der Weij, Jayden Teoh, Rada Djoneva, Henning Bartsch, Francis Rhys Ward; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23330-23356
Uniform Mean Estimation for Heavy-Tailed Distributions via Median-of-Means
Mikael Møller Høgsgaard, Andrea Paudice; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23357-23381
Stochastic Poisson Surface Reconstruction with One Solve using Geometric Gaussian Processes
Sidhanth Holalkere, David Bindel, Silvia Sellán, Alexander Terenin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23382-23396
LEAPS: A discrete neural sampler via locally equivariant networks
Peter Holderrieth, Michael Samuel Albergo, Tommi Jaakkola; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23397-23416
Open Materials Generation with Stochastic Interpolants
Philipp Höllmer, Thomas Egg, Maya Martirossyan, Eric Fuemmeler, Zeren Shui, Amit Gupta, Pawan Prakash, Adrian Roitberg, Mingjie Liu, George Karypis, Mark Transtrum, Richard Hennig, Ellad B. Tadmor, Stefano Martiniani; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23417-23450
EvoControl: Multi-Frequency Bi-Level Control for High-Frequency Continuous Control
Samuel Holt, Todor Davchev, Dhruva Tirumala, Ben Moran, Atil Iscen, Antoine Laurens, Yixin Lin, Erik Frey, Markus Wulfmeier, Francesco Romano, Nicolas Heess; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23451-23512
G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration
Samuel Holt, Max Ruiz Luyten, Antonin Berthon, Mihaela Van Der Schaar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23513-23561
PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations
Benjamin Holzschuh, Qiang Liu, Georg Kohl, Nils Thuerey; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23562-23602
When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need
Ziming Hong, Runnan Chen, Zengmao Wang, Bo Han, Bo Du, Tongliang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23603-23639
MTSTRec: Multimodal Time-Aligned Shared Token Recommender
Ming-Yi Hong, Yen-Jung Hsu, Miao-Chen Chiang, Che Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23640-23661
PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting for Novel View Synthesis
Sunghwan Hong, Jaewoo Jung, Heeseong Shin, Jisang Han, Jiaolong Yang, Chong Luo, Seungryong Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23662-23681
On the Robustness of Reward Models for Language Model Alignment
Jiwoo Hong, Noah Lee, Eunki Kim, Guijin Son, Woojin Chung, Aman Gupta, Shao Tang, James Thorne; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23682-23699
CoCoA-Mix: Confusion-and-Confidence-Aware Mixture Model for Context Optimization
Dasol Hong, Wooju Lee, Hyun Myung; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23700-23721
Trajectory Inference with Smooth Schrödinger Bridges
Wanli Hong, Yuliang Shi, Jonathan Niles-Weed; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23722-23750
A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs
Kihyuk Hong, Ambuj Tewari; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23751-23773
On the Provable Separation of Scales in Maximal Update Parameterization
Letong Hong, Zhangyang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23774-23786
Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model
Yuzhong Hong, Hanshan Zhang, Junwei Bao, Hongfei Jiang, Yang Song; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23787-23804
The Role of Randomness in Stability
Max Hopkins, Shay Moran; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23805-23827
QPRL : Learning Optimal Policies with Quasi-Potential Functions for Asymmetric Traversal
Jumman Hossain, Nirmalya Roy; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23828-23845
Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data
Sayed Mohammad Hosseini, Maryam Shanechi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23846-23872
Universal Length Generalization with Turing Programs
Kaiying Hou, David Brandfonbrener, Sham M. Kakade, Samy Jelassi, Eran Malach; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23873-23893
Instruction-Following Pruning for Large Language Models
Bairu Hou, Qibin Chen, Jianyu Wang, Guoli Yin, Chong Wang, Nan Du, Ruoming Pang, Shiyu Chang, Tao Lei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23894-23909
Do Vision-Language Models Really Understand Visual Language?
Yifan Hou, Buse Giledereli, Yilei Tu, Mrinmaya Sachan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23910-23959
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
Yaxin Hou, Yuheng Jia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23960-23975
T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
Zhenyu Hou, Xin Lv, Rui Lu, Jiajie Zhang, Yujiang Li, Zijun Yao, Juanzi Li, Jie Tang, Yuxiao Dong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:23976-24003
ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian Mcauley, Derek Zhiyuan Cheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24004-24024
Private Federated Learning using Preference-Optimized Synthetic Data
Charlie Hou, Mei-Yu Wang, Yige Zhu, Daniel Lazar, Giulia Fanti; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24025-24044
BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms
Yunlong Hou, Fengzhuo Zhang, Cunxiao Du, Xuan Zhang, Jiachun Pan, Tianyu Pang, Chao Du, Vincent Tan, Zhuoran Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24045-24079
Scaling Trends in Language Model Robustness
Nikolaus H. R. Howe, Ian R. Mckenzie, Oskar John Hollinsworth, Michał Zając, Tom Tseng, Aaron David Tucker, Pierre-Luc Bacon, Adam Gleave; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24080-24138
RAGGED: Towards Informed Design of Scalable and Stable RAG Systems
Jennifer Hsia, Afreen Shaikh, Zora Zhiruo Wang, Graham Neubig; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24139-24155
Elucidating the Design Space of Multimodal Protein Language Models
Cheng-Yen Hsieh, Xinyou Wang, Daiheng Zhang, Dongyu Xue, Fei Ye, Shujian Huang, Zaixiang Zheng, Quanquan Gu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24156-24175
Contextual Online Decision Making with Infinite-Dimensional Functional Regression
Haichen Hu, Rui Ai, Stephen Bates, David Simchi-Levi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24176-24202
The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability
Jiachen Hu, Rui Ai, Han Zhong, Xiaoyu Chen, Liwei Wang, Zhaoran Wang, Zhuoran Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24203-24231
Nonparametric Modern Hopfield Models
Jerry Yao-Chieh Hu, Bo-Yu Chen, Dennis Wu, Feng Ruan, Han Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24232-24269
Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Auto Speculation
Hengyuan Hu, Aniket Das, Dorsa Sadigh, Nima Anari; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24270-24289
Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias
Yuanzhe Hu, Kinshuk Goel, Vlad Killiakov, Yaoqing Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24290-24313
Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge
Hanglei Hu, Yingying Guo, Zhikang Chen, Sen Cui, Fei Wu, Kun Kuang, Min Zhang, Bo Jiang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24314-24327
Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations
Yucheng Hu, Yanjiang Guo, Pengchao Wang, Xiaoyu Chen, Yen-Jen Wang, Jianke Zhang, Koushil Sreenath, Chaochao Lu, Jianyu Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24328-24346
VTGaussian-SLAM: RGBD SLAM for Large Scale Scenes with Splatting View-Tied 3D Gaussians
Pengchong Hu, Zhizhong Han; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24347-24370
Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation
Zixuan Hu, Yichun Hu, Xiaotong Li, Shixiang Tang, Lingyu Duan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24371-24390
EPIC: Efficient Position-Independent Caching for Serving Large Language Models
Junhao Hu, Wenrui Huang, Weidong Wang, Haoyi Wang, Tiancheng Hu, Zhang Qin, Hao Feng, Xusheng Chen, Yizhou Shan, Tao Xie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24391-24402
Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret
Bingshan Hu, Zhiming Huang, Tianyue H. Zhang, Mathias Lécuyer, Nidhi Hegde; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24403-24423
Explicit Preference Optimization: No Need for an Implicit Reward Model
Xiangkun Hu, Lemin Kong, Tong He, David Wipf; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24424-24446
PAK-UCB Contextual Bandit: An Online Learning Approach to Prompt-Aware Selection of Generative Models and LLMs
Xiaoyan Hu, Ho-Fung Leung, Farzan Farnia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24447-24481
A-PSRO: A Unified Strategy Learning Method with Advantage Metric for Normal-form Games
Yudong Hu, Haoran Li, Congying Han, Tiande Guo, Bonan Li, Mingqiang Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24482-24508
Explicit Discovery of Nonlinear Symmetries from Dynamic Data
Lexiang Hu, Yikang Li, Zhouchen Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24509-24534
Learning Imbalanced Data with Beneficial Label Noise
Guangzheng Hu, Feng Liu, Mingming Gong, Guanghui Wang, Liuhua Peng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24535-24569
Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning
Zican Hu, Wei Liu, Xiaoye Qu, Xiangyu Yue, Chunlin Chen, Zhi Wang, Yu Cheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24570-24590
Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs
Jie Hu, Yi-Ting Ma, Do Young Eun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24591-24620
Stochastic Deep Restoration Priors for Imaging Inverse Problems
Yuyang Hu, Albert Peng, Weijie Gan, Peyman Milanfar, Mauricio Delbracio, Ulugbek S. Kamilov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24621-24652
From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control
Peiyan Hu, Xiaowei Qian, Wenhao Deng, Rui Wang, Haodong Feng, Ruiqi Feng, Tao Zhang, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24653-24677
Editable Concept Bottleneck Models
Lijie Hu, Chenyang Ren, Zhengyu Hu, Hongbin Lin, Cheng-Long Wang, Zhen Tan, Weimin Lyu, Jingfeng Zhang, Hui Xiong, Di Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24678-24726
Efficient Length-Generalizable Attention via Causal Retrieval for Long-Context Language Modeling
Xiang Hu, Zhihao Teng, Jun Zhao, Wei Wu, Kewei Tu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24727-24743
Incorporating Arbitrary Matrix Group Equivariance into KANs
Lexiang Hu, Yisen Wang, Zhouchen Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24744-24760
Empirical Privacy Variance
Yuzheng Hu, Fan Wu, Ruicheng Xian, Yuhang Liu, Lydia Zakynthinou, Pritish Kamath, Chiyuan Zhang, David Forsyth; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24761-24804
IMTS is Worth Time $\times$ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction
Zhangyi Hu, Jiemin Wu, Hua Xu, Mingqian Liao, Ninghui Feng, Bo Gao, Songning Lai, Yutao Yue; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24805-24822
Test-Time Learning for Large Language Models
Jinwu Hu, Zitian Zhang, Guohao Chen, Xutao Wen, Chao Shuai, Wei Luo, Bin Xiao, Yuanqing Li, Mingkui Tan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24823-24849
sciLaMA: A Single-Cell Representation Learning Framework to Leverage Prior Knowledge from Large Language Models
Hongru Hu, Shuwen Zhang, Yongin Choi, Venkat S. Malladi, Gerald Quon; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24850-24868
D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples
Zijing Hu, Fengda Zhang, Kun Kuang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24869-24892
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
Yifan Hu, Guibin Zhang, Peiyuan Liu, Disen Lan, Naiqi Li, Dawei Cheng, Tao Dai, Shu-Tao Xia, Shirui Pan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24893-24911
Reward Translation via Reward Machine in Semi-Alignable MDPs
Yun Hua, Haosheng Chen, Wenhao Li, Bo Jin, Baoxiang Wang, Hongyuan Zha, Xiangfeng Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24912-24931
Fourier Position Embedding: Enhancing Attention’s Periodic Extension for Length Generalization
Ermo Hua, Che Jiang, Xingtai Lv, Kaiyan Zhang, Youbang Sun, Yuchen Fan, Xuekai Zhu, Biqing Qi, Ning Ding, Bowen Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24932-24949
A Physics-Augmented Deep Learning Framework for Classifying Single Molecule Force Spectroscopy Data
Cailong Hua, Sivaraman Rajaganapathy, Rebecca A Slick, Joseph Vavra, Joseph M. Muretta, James M. Ervasti, Murti Salapaka; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24950-24974
OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning
Cong Hua, Qianqian Xu, Zhiyong Yang, Zitai Wang, Shilong Bao, Qingming Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:24975-25020
How Expressive are Knowledge Graph Foundation Models?
Xingyue Huang, Pablo Barcelo, Michael M. Bronstein, Ismail Ilkan Ceylan, Mikhail Galkin, Juan L Reutter, Miguel Romero Orth; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25021-25058
Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning Attack
Tiansheng Huang, Gautam Bhattacharya, Pratik Joshi, Joshua Kimball, Ling Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25059-25074
Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment
Audrey Huang, Adam Block, Qinghua Liu, Nan Jiang, Akshay Krishnamurthy, Dylan J Foster; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25075-25126
Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training
Zizheng Huang, Haoxing Chen, Jiaqi Li, Jun Lan, Huijia Zhu, Weiqiang Wang, Limin Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25127-25140
3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors
Yujun Huang, Bin Chen, Niu Lian, Xin Wang, Baoyi An, Tao Dai, Shu-Tao Xia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25141-25158
Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response
Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25159-25184
$\mathcalVista\mathcalDPO$: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models
Haojian Huang, Haodong Chen, Shengqiong Wu, Meng Luo, Jinlan Fu, Xinya Du, Hanwang Zhang, Hao Fei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25185-25203
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
Hanxun Huang, Sarah Monazam Erfani, Yige Li, Xingjun Ma, James Bailey; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25204-25234
Differential Coding for Training-Free ANN-to-SNN Conversion
Zihan Huang, Wei Fang, Tong Bu, Peng Xue, Zecheng Hao, Wenxuan Liu, Yuanhong Tang, Zhaofei Yu, Tiejun Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25235-25264
Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates
Yunfei Huang, David S. Greenberg; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25265-25310
MATH-Perturb: Benchmarking LLMs’ Math Reasoning Abilities against Hard Perturbations
Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25311-25328
High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions
Ruiyuan Huang, Zengfeng Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25329-25355
Towards Escaping from Class Dependency Modeling for Multi-Dimensional Classification
Teng Huang, Bin-Bin Jia, Min-Ling Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25356-25371
Automated Hypothesis Validation with Agentic Sequential Falsifications
Kexin Huang, Ying Jin, Ryan Li, Michael Y. Li, Emmanuel Candes, Jure Leskovec; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25372-25437
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective
Jiawei Huang, Bingcong Li, Christoph Dann, Niao He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25438-25473
Flow Matching for Denoised Social Recommendation
Yinxuan Huang, Ke Liang, Zhuofan Dong, Xiaodong Qu, Wang Tianxiang, Yue Han, Jingao Xu, Bin Zhou, Ye Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25474-25485
Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning
Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25486-25499
Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning
Wenke Huang, Jian Liang, Guancheng Wan, Didi Zhu, He Li, Jiawei Shao, Mang Ye, Bo Du, Dacheng Tao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25500-25515
How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias
Ruiquan Huang, Yingbin Liang, Jing Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25516-25549
Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching
Tinglin Huang, Tianyu Liu, Mehrtash Babadi, Wengong Jin, Zhitao Ying; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25550-25565
OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction
Huang Huang, Fangchen Liu, Letian Fu, Tingfan Wu, Mustafa Mukadam, Jitendra Malik, Ken Goldberg, Pieter Abbeel; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25566-25580
Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
Xiao Huang, Xu Liu, Enze Zhang, Tong Yu, Shuai Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25581-25592
Calibrated Language Models and How to Find Them with Label Smoothing
Jerry Huang, Peng Lu, Qiuhao Zeng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25593-25612
Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
Jincheng Huang, Yujie Mo, Xiaoshuang Shi, Lei Feng, Xiaofeng Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25613-25633
TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness
Cheng Huang, Pan Mu, Cong Bai, Peter Ag Watson; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25634-25653
Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards
Yangsibo Huang, Milad Nasr, Anastasios Nikolas Angelopoulos, Nicholas Carlini, Wei-Lin Chiang, Christopher A. Choquette-Choo, Daphne Ippolito, Matthew Jagielski, Katherine Lee, Ken Liu, Ion Stoica, Florian Tramèr, Chiyuan Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25654-25671
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
Wei Huang, Haotong Qin, Yangdong Liu, Yawei Li, Qinshuo Liu, Xianglong Liu, Luca Benini, Michele Magno, Shiming Zhang, Xiaojuan Qi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25672-25692
Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity
Ningyuan Teresa Huang, Miguel Sarabia, Abhinav Moudgil, Pau Rodriguez, Luca Zappella, Federico Danieli; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25693-25727
Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting
Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli, Fartash Faghri, Oncel Tuzel, Barry-John Theobald, Joshua M. Susskind; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25728-25749
Ex-VAD: Explainable Fine-grained Video Anomaly Detection Based on Visual-Language Models
Chao Huang, Yushu Shi, Jie Wen, Wei Wang, Yong Xu, Xiaochun Cao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25750-25761
Federated Oriented Learning: A Practical One-Shot Personalized Federated Learning Framework
Guan Huang, Tao Shu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25762-25790
Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors
Jing Huang, Junyi Tao, Thomas Icard, Diyi Yang, Christopher Potts; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25791-25812
Improving Flow Matching by Aligning Flow Divergence
Yuhao Huang, Taos Transue, Shih-Hsin Wang, William M Feldman, Hong Zhang, Bao Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25813-25834
HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration
Yushi Huang, Zining Wang, Ruihao Gong, Jing Liu, Xinjie Zhang, Jinyang Guo, Xianglong Liu, Jun Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25835-25858
PIGDreamer: Privileged Information Guided World Models for Safe Partially Observable Reinforcement Learning
Dongchi Huang, Jiaqi Wang, Yang Li, Chunhe Xia, Tianle Zhang, Kaige Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25859-25875
A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity
Yufei Huang, Changhu Wang, Junjie Tang, Weichi Wu, Ruibin Xi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25876-25907
DriveGPT: Scaling Autoregressive Behavior Models for Driving
Xin Huang, Eric M Wolff, Paul Vernaza, Tung Phan-Minh, Hongge Chen, David S Hayden, Mark Edmonds, Brian Pierce, Xinxin Chen, Pratik Elias Jacob, Xiaobai Chen, Chingiz Tairbekov, Pratik Agarwal, Tianshi Gao, Yuning Chai, Siddhartha Srinivasa; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25908-25921
Larger or Smaller Reward Margins to Select Preferences for LLM Alignment?
Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25922-25946
Uncertainty Quantification for LLM-Based Survey Simulations
Chengpiao Huang, Yuhang Wu, Kaizheng Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25947-25971
Code-Generated Graph Representations Using Multiple LLM Agents for Material Properties Prediction
Jiao Huang, Qianli Xing, Jinglong Ji, Bo Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25972-25986
Learn Beneficial Noise as Graph Augmentation
Siqi Huang, Yanchen Xu, Hongyuan Zhang, Xuelong Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:25987-26001
IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling
Kuan-Po Huang, Shu-Wen Yang, Huy Phan, Bo-Ru Lu, Byeonggeun Kim, Sashank Macha, Qingming Tang, Shalini Ghosh, Hung-Yi Lee, Chieh-Chi Kao, Chao Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26002-26019
Sample Complexity of Correlation Detection in the Gaussian Wigner Model
Dong Huang, Pengkun Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26020-26040
Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens
Ting-Ji Huang, Jia-Qi Yang, Chunxu Shen, Kai-Qi Liu, De-Chuan Zhan, Han-Jia Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26041-26057
EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning
Dong Huang, Guangtao Zeng, Jianbo Dai, Meng Luo, Han Weng, Yuhao Qing, Heming Cui, Zhijiang Guo, Jie Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26058-26076
Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schrödinger Equation
Kevin Han Huang, Ni Zhan, Elif Ertekin, Peter Orbanz, Ryan P Adams; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26077-26105
Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints
Ruichuan Huang, Jiawei Zhang, Ahmet Alacaoglu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26106-26142
MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning
Suning Huang, Zheyu Aqa Zhang, Tianhai Liang, Yihan Xu, Zhehao Kou, Chenhao Lu, Guowei Xu, Zhengrong Xue, Huazhe Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26143-26161
GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models
Zhaohong Huang, Yuxin Zhang, Jingjing Xie, Fei Chao, Rongrong Ji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26162-26174
Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective
Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Fei Chao, Rongrong Ji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26175-26201
On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents
Jen-Tse Huang, Jiaxu Zhou, Tailin Jin, Xuhui Zhou, Zixi Chen, Wenxuan Wang, Youliang Yuan, Michael Lyu, Maarten Sap; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26202-26226
TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting
Qihe Huang, Zhengyang Zhou, Kuo Yang, Zhongchao Yi, Xu Wang, Yang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26227-26246
Steering Protein Language Models
Long-Kai Huang, Rongyi Zhu, Bing He, Jianhua Yao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26247-26260
Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling
Hongzhi Huang, Defa Zhu, Banggu Wu, Yutao Zeng, Ya Wang, Qiyang Min, Zhou Xun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26261-26282
Imitation Learning from a Single Temporally Misaligned Video
William Huey, Huaxiaoyue Wang, Anne Wu, Yoav Artzi, Sanjiban Choudhury; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26283-26310
Context-Informed Neural ODEs Unexpectedly Identify Broken Symmetries: Insights from the Poincaré–Hopf Theorem
In Huh, Changwook Jeong, Muhammad Alam; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26311-26337
Understanding Generalization in Quantum Machine Learning with Margins
Tak Hur, Daniel K. Park; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26338-26360
Constrained Online Convex Optimization with Polyak Feasibility Steps
Spencer Hutchinson, Mahnoosh Alizadeh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26361-26375
Stability and Generalization Capability of Subgraph Reasoning Models for Inductive Knowledge Graph Completion
Minsung Hwang, Jaejun Lee, Joyce Jiyoung Whang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26376-26411
Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions
Geonho Hwang, Yeachan Park, Wonyeol Lee, Sejun Park; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26412-26432
QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration
Hamidreza Imani, Jiaxin Peng, Peiman Mohseni, Abdolah Amirany, Tarek El-Ghazawi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26433-26445
Robust Sparsification via Sensitivity
Chansophea Wathanak In, Yi Li, David Woodruff, Xuan Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26446-26463
Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces
Tyler Ingebrand, Adam Thorpe, Ufuk Topcu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26464-26489
Pareto-frontier Entropy Search with Variational Lower Bound Maximization
Masanori Ishikura, Masayuki Karasuyama; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26490-26522
Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence
İlker Işık, Ramazan Gokberk Cinbis, Ebru Aydin Gol; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26523-26541
Safe-EF: Error Feedback for Non-smooth Constrained Optimization
Rustem Islamov, Yarden As, Ilyas Fatkhullin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26542-26585
Improving Consistency Models with Generator-Augmented Flows
Thibaut Issenhuth, Sangchul Lee, Ludovic Dos Santos, Jean-Yves Franceschi, Chansoo Kim, Alain Rakotomamonjy; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26586-26610
Linear Mode Connectivity between Multiple Models modulo Permutation Symmetries
Akira Ito, Masanori Yamada, Atsutoshi Kumagai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26611-26626
Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems
Tomoharu Iwata, Shinsaku Sakaue; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26627-26641
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance
Shogo Iwazaki, Shion Takeno; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26642-26672
Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?
Tom Jacobs, Chao Zhou, Rebekka Burkholz; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26673-26699
Multi-Turn Code Generation Through Single-Step Rewards
Arnav Kumar Jain, Gonzalo Gonzalez-Pumariega, Wayne Chen, Alexander M Rush, Wenting Zhao, Sanjiban Choudhury; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26700-26716
Unifying 2D and 3D Vision-Language Understanding
Ayush Jain, Alexander Swerdlow, Yuzhou Wang, Sergio Arnaud, Ada Martin, Alexander Sax, Franziska Meier, Katerina Fragkiadaki; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26717-26739
From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications
Ajay Kumar Jaiswal, Yifan Wang, Lu Yin, Shiwei Liu, Runjin Chen, Jiawei Zhao, Ananth Grama, Yuandong Tian, Zhangyang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26740-26756
Towards an Explainable Comparison and Alignment of Feature Embeddings
Mohammad Jalali, Bahar Dibaei Nia, Farzan Farnia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26757-26796
Optimal Transfer Learning for Missing Not-at-Random Matrix Completion
Akhil Jalan, Yassir Jedra, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26797-26829
A Mixture-Based Framework for Guiding Diffusion Models
Yazid Janati, Badr Moufad, Mehdi Abou El Qassime, Alain Oliviero Durmus, Eric Moulines, Jimmy Olsson; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26830-26876
TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation
Hyeongwon Jang, Changhun Kim, Eunho Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26877-26895
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Won-Jun Jang, Hyeon-Seo Park, Si-Hyeon Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26896-26924
BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference
Wonsuk Jang, Thierry Tambe; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26925-26945
Improving the Variance of Differentially Private Randomized Experiments through Clustering
Adel Javanmard, Vahab Mirrokni, Jean Pouget-Abadie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26946-26980
QT-DoG: Quantization-Aware Training for Domain Generalization
Saqib Javed, Hieu Le, Mathieu Salzmann; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:26981-27004
The Brain’s Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning
Dulhan Jayalath, Gilad Landau, Brendan Shillingford, Mark Woolrich, Oiwi Parker Jones; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27005-27020
Score-of-Mixture Training: One-Step Generative Model Training Made Simple via Score Estimation of Mixture Distributions
Tejas Jayashankar, Jongha Jon Ryu, Gregory W. Wornell; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27021-27049
Black-Box Adversarial Attacks on LLM-Based Code Completion
Slobodan Jenko, Niels Mündler, Jingxuan He, Mark Vero, Martin Vechev; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27050-27069
Enforcing Idempotency in Neural Networks
Nikolaj Banke Jensen, Jamie Vicary; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27070-27090
Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes
Dongjae Jeon, Dueun Kim, Albert No; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27091-27112
Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens
Jihwan Jeong, Xiaoyu Wang, Jingmin Wang, Scott Sanner, Pascal Poupart; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27113-27133
ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks
Saurabh Jha, Rohan R. Arora, Yuji Watanabe, Takumi Yanagawa, Yinfang Chen, Jackson Clark, Bhavya Bhavya, Mudit Verma, Harshit Kumar, Hirokuni Kitahara, Noah Zheutlin, Saki Takano, Divya Pathak, Felix George, Xinbo Wu, Bekir O Turkkan, Gerard Vanloo, Michael Nidd, Ting Dai, Oishik Chatterjee, Pranjal Gupta, Suranjana Samanta, Pooja Aggarwal, Rong Lee, Jae-Wook Ahn, Debanjana Kar, Amit Paradkar, Yu Deng, Pratibha Moogi, Prateeti Mohapatra, Naoki Abe, Chandrasekhar Narayanaswami, Tianyin Xu, Lav R. Varshney, Ruchi Mahindru, Anca Sailer, Laura Shwartz, Daby Sow, Nicholas C. M. Fuller, Ruchir Puri; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27134-27197
Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination
Kunal Jha, Wilka Carvalho, Yancheng Liang, Simon Shaolei Du, Max Kleiman-Weiner, Natasha Jaques; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27198-27220
Pfeife: Automatic Pipeline Parallelism for PyTorch
Ho Young Jhoo, Chung-Kil Hur, Nuno P. Lopes; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27221-27236
RZ-NAS: Enhancing LLM-guided Neural Architecture Search via Reflective Zero-Cost Strategy
Zipeng Ji, Guanghui Zhu, Chunfeng Yuan, Yihua Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27237-27254
DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation
Dongya Jia, Zhuo Chen, Jiawei Chen, Chenpeng Du, Jian Wu, Jian Cong, Xiaobin Zhuang, Chumin Li, Zhen Wei, Yuping Wang, Yuxuan Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27255-27270
Multi-Armed Bandits with Interference: Bridging Causal Inference and Adversarial Bandits
Su Jia, Peter I. Frazier, Nathan Kallus; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27271-27291
Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible
Lin-Han Jia, Wen-Chao Hu, Jie-Jing Shao, Lan-Zhe Guo, Yu-Feng Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27292-27306
LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning
Xiuyi Jia, Jinchi Li, Yunan Lu, Weiwei Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27307-27330
Controlling Large Language Model with Latent Action
Chengxing Jia, Ziniu Li, Pengyuan Wang, Yi-Chen Li, Zhenyu Hou, Yuxiao Dong, Yang Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27331-27372
Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical Perspective
Zeyu Jia, Alexander Rakhlin, Tengyang Xie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27373-27398
Widening the Network Mitigates the Impact of Data Heterogeneity on FedAvg
Like Jian, Dong Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27399-27425
Reaction Graph: Towards Reaction-Level Modeling for Chemical Reactions with 3D Structures
Yingzhao Jian, Yue Zhang, Ying Wei, Hehe Fan, Yi Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27426-27491
FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting
Yue Jiang, Yile Chen, Xiucheng Li, Qin Chao, Shuai Liu, Gao Cong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27492-27509
AnyEdit: Edit Any Knowledge Encoded in Language Models
Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Mingyang Wan, Guojun Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27510-27533
Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs
Youhe Jiang, Fangcheng Fu, Xiaozhe Yao, Guoliang He, Xupeng Miao, Ana Klimovic, Bin Cui, Binhang Yuan, Eiko Yoneki; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27534-27552
Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints
Dapeng Jiang, Xiangzhe Kong, Jiaqi Han, Mingyu Li, Rui Jiao, Wenbing Huang, Stefano Ermon, Jianzhu Ma, Yang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27553-27568
CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration
Haoyun Jiang, Haolin Li, Jianwei Zhang, Fei Huang, Qiang Hu, Minmin Sun, Shuai Xiao, Yong Li, Junyang Lin, Jiangchao Yao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27569-27585
CursorCore: Assist Programming through Aligning Anything
Hao Jiang, Qi Liu, Rui Li, Shengyu Ye, Shijin Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27586-27623
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
Liangze Jiang, Damien Teney; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27624-27648
SADA: Stability-guided Adaptive Diffusion Acceleration
Ting Jiang, Yixiao Wang, Hancheng Ye, Zishan Shao, Jingwei Sun, Jingyang Zhang, Zekai Chen, Jianyi Zhang, Yiran Chen, Hai Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27649-27669
Topology-aware Neural Flux Prediction Guided by Physics
Haoyang Jiang, Jindong Wang, Xingquan Zhu, Yi He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27670-27684
StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models
Ya Jiang, Chuxiong Wu, Massieh Kordi Boroujeny, Brian Mark, Kai Zeng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27685-27709
Generative Point Cloud Registration
Haobo Jiang, Jin Xie, Jian Yang, Liang Yu, Jianmin Zheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27710-27723
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
Han Jiang, Xiaoyuan Yi, Zhihua Wei, Ziang Xiao, Shu Wang, Xing Xie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27724-27771
FedClean: A General Robust Label Noise Correction for Federated Learning
Xiaoqian Jiang, Jing Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27772-27792
MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency
Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanwei Li, Yu Qi, Xinyan Chen, Liuhui Wang, Jianhan Jin, Claire Guo, Shen Yan, Bo Zhang, Chaoyou Fu, Peng Gao, Hongsheng Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27793-27830
Compositional Condition Question Answering in Tabular Understanding
Jun-Peng Jiang, Tao Zhou, De-Chuan Zhan, Han-Jia Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27831-27850
Can Large Language Models Understand Intermediate Representations in Compilers?
Hailong Jiang, Jianfeng Zhu, Yao Wan, Bo Fang, Hongyu Zhang, Ruoming Jin, Qiang Guan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27851-27872
DTZO: Distributed Trilevel Zeroth Order Learning with Provable Non-Asymptotic Convergence
Yang Jiao, Kai Yang, Chengtao Jian; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27873-27916
SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs
Shibo Jie, Yehui Tang, Kai Han, Zhi-Hong Deng, Jing Han; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27917-27928
Mixture of Lookup Experts
Shibo Jie, Yehui Tang, Kai Han, Yitong Li, Duyu Tang, Zhi-Hong Deng, Yunhe Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27929-27940
Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding
Tian Jin, Ellie Y Cheng, Zachary Ankner, Nikunj Saunshi, Blake M Elias, Amir Yazdanbakhsh, Jonathan Ragan-Kelley, Suvinay Subramanian, Michael Carbin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27941-27956
Noisy SIGNSGD Is More Differentially Private Than You (Might) Think
Richeng Jin, Huaiyu Dai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27957-27978
A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD
Ruinan Jin, Xiao Li, Yaoliang Yu, Baoxiang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:27979-28030
Compute or Load KV Cache? Why Not Both?
Shuowei Jin, Xueshen Liu, Qingzhao Zhang, Zhuoqing Mao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28031-28043
PARQ: Piecewise-Affine Regularized Quantization
Lisa Jin, Jianhao Ma, Zechun Liu, Andrey Gromov, Aaron Defazio, Lin Xiao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28044-28062
Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding
Mingyu Jin, Kai Mei, Wujiang Xu, Mingjie Sun, Ruixiang Tang, Mengnan Du, Zirui Liu, Yongfeng Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28063-28096
Diffusion Instruction Tuning
Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Alexander Teare; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28097-28137
Ranking with Multiple Oracles: From Weak to Strong Stochastic Transitivity
Tao Jin, Yue Wu, Quanquan Gu, Farzad Farnoud; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28138-28156
Large Language Models are Demonstration Pre-Selectors for Themselves
Jiarui Jin, Yuwei Wu, Haoxuan Li, Xiaoting He, Weinan Zhang, Yiming Yang, Yong Yu, Jun Wang, Mengyue Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28157-28186
Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation
Cheng Jin, Zhenyu Xiao, Chutao Liu, Yuantao Gu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28187-28212
LLM Alignment as Retriever Optimization: An Information Retrieval Perspective
Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan O Arik; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28213-28232
MoH: Multi-Head Attention as Mixture-of-Head Attention
Peng Jin, Bo Zhu, Li Yuan, Shuicheng Yan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28233-28255
Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement
Yuheng Jing, Kai Li, Bingyun Liu, Ziwen Zhang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28256-28287
Safety Certificate against Latent Variables with Partially Unidentifiable Dynamics
Haoming Jing, Yorie Nakahira; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28288-28303
Riemann Tensor Neural Networks: Learning Conservative Systems with Physics-Constrained Networks
Anas Jnini, Lorenzo Breschi, Flavio Vella; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28304-28326
Adversaries Can Misuse Combinations of Safe Models
Erik Jones, Anca Dragan, Jacob Steinhardt; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28327-28349
Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models
Taj Jones-Mccormick, Aukosh Jagannath, Subhabrata Sen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28350-28376
Approximate Differential Privacy of the $\ell_2$ Mechanism
Matthew Joseph, Alex Kulesza, Alexander Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28377-28392
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials
Chaitanya K. Joshi, Xiang Fu, Yi-Lun Liao, Vahe Gharakhanyan, Benjamin Kurt Miller, Anuroop Sriram, Zachary Ward Ulissi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28393-28417
Learning Parametric Distributions from Samples and Preferences
Marc Jourdan, Gizem Yüce, Nicolas Flammarion; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28418-28445
Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models
Tianjie Ju, Yi Hua, Hao Fei, Zhenyu Shao, Yubin Zheng, Haodong Zhao, Mong-Li Lee, Wynne Hsu, Zhuosheng Zhang, Gongshen Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28446-28462
Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies
Qi Ju, Thomas Tellier, Meng Sun, Zhemei Fang, Yunfeng Luo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28463-28480
Agent-Centric Actor-Critic for Asynchronous Multi-Agent Reinforcement Learning
Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Kanghoon Lee, Woohyung Lim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28481-28502
Broadband Ground Motion Synthesis by Diffusion Model with Minimal Condition
Jaeheun Jung, Jaehyuk Lee, Chang-Hae Jung, Hanyoung Kim, Bosung Jung, Donghun Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28503-28526
Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models
Mingi Jung, Saehyung Lee, Eunji Kim, Sungroh Yoon; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28527-28551
Grokking Beyond the Euclidean Norm of Model Parameters
Tikeng Notsawo Pascal Junior, Guillaume Dumas, Guillaume Rabusseau; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28552-28618
Skip the Equations: Learning Behavior of Personalized Dynamical Systems Directly From Data
Krzysztof Kacprzyk, Julianna Piskorz, Mihaela Van Der Schaar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28619-28643
Selective Preference Aggregation
Shreyas Kadekodi, Hayden Mctavish, Berk Ustun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28644-28669
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
Timo Kaiser, Thomas Norrenbrock, Bodo Rosenhahn; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28670-28688
The Logical Implication Steering Method for Conditional Interventions on Transformer Generation
Damjan Kalajdzievski; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28689-28720
Towards Better-than-2 Approximation for Constrained Correlation Clustering
Andreas Kalavas, Evangelos Kipouridis, Nithin Varma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28721-28734
Solving Zero-Sum Convex Markov Games
Fivos Kalogiannis, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Ian Gemp, Georgios Piliouras; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28735-28794
An analytic theory of creativity in convolutional diffusion models
Mason Kamb, Surya Ganguli; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28795-28831
FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks
Zhaoxuan Kan, Husheng Han, Shangyi Shi, Tenghui Hua, Hang Lu, Xiaowei Li, Jianan Mu, Xing Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28832-28848
Algorithmic Recourse for Long-Term Improvement
Kentaro Kanamori, Ken Kobayashi, Satoshi Hara, Takuya Takagi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28849-28877
SPEX: Scaling Feature Interaction Explanations for LLMs
Justin Singh Kang, Landon Butler, Abhineet Agarwal, Yigit Efe Erginbas, Ramtin Pedarsani, Bin Yu, Kannan Ramchandran; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28878-28903
Editable Noise Map Inversion: Encoding Target-image into Noise For High-Fidelity Image Manipulation
Mingyu Kang, Yong Suk Choi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28904-28920
A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control
Zilin Kang, Chenyuan Hu, Yu Luo, Zhecheng Yuan, Ruijie Zheng, Huazhe Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28921-28942
LRA-QViT: Integrating Low-Rank Approximation and Quantization for Robust and Efficient Vision Transformers
Beom Jin Kang, Namjoon Kim, Hyun Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28943-28958
Revisiting Neural Networks for Few-Shot Learning: A Zero-Cost NAS Perspective
Haidong Kang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28959-28976
What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning?
Katie Kang, Amrith Setlur, Dibya Ghosh, Jacob Steinhardt, Claire Tomlin, Sergey Levine, Aviral Kumar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28977-28990
How Far Is Video Generation from World Model: A Physical Law Perspective
Bingyi Kang, Yang Yue, Rui Lu, Zhijie Lin, Yang Zhao, Kaixin Wang, Gao Huang, Jiashi Feng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:28991-29017
Are Sparse Autoencoders Useful? A Case Study in Sparse Probing
Subhash Kantamneni, Joshua Engels, Senthooran Rajamanoharan, Max Tegmark, Neel Nanda; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29018-29049
POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization
Batuhan K. Karaman, Ishmam Zabir, Alon Benhaim, Vishrav Chaudhary, Mert R. Sabuncu, Xia Song; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29050-29077
The Power of Random Features and the Limits of Distribution-Free Gradient Descent
Ari Karchmer, Eran Malach; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29078-29097
Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models
Rafal Karczewski, Markus Heinonen, Vikas K Garg; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29098-29127
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
Rickard Karlsson, Jh Krijthe; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29128-29147
Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent
Santhosh Karnik, Anna Veselovska, Mark Iwen, Felix Krahmer; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29148-29204
PokéChamp: an Expert-level Minimax Language Agent
Seth Karten, Andy Luu Nguyen, Chi Jin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29205-29222
SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability
Adam Karvonen, Can Rager, Johnny Lin, Curt Tigges, Joseph Isaac Bloom, David Chanin, Yeu-Tong Lau, Eoin Farrell, Callum Stuart Mcdougall, Kola Ayonrinde, Demian Till, Matthew Wearden, Arthur Conmy, Samuel Marks, Neel Nanda; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29223-29264
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution
Gabriel Kasmi, Amandine Brunetto, Thomas Fel, Jayneel Parekh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29265-29293
Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics
Tyler Kastner, Mark Rowland, Yunhao Tang, Murat A Erdogdu, Amir-Massoud Farahmand; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29294-29320
Curvature Enhanced Data Augmentation for Regression
Ilya Kaufman, Omri Azencot; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29321-29344
Leveraging Offline Data in Linear Latent Contextual Bandits
Chinmaya Kausik, Kevin Tan, Ambuj Tewari; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29345-29389
Mixture of Experts Provably Detect and Learn the Latent Cluster Structure in Gradient-Based Learning
Ryotaro Kawata, Kohsei Matsutani, Yuri Kinoshita, Naoki Nishikawa, Taiji Suzuki; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29390-29448
Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds
Aya Kayal, Sattar Vakili, Laura Toni, Da-Shan Shiu, Alberto Bernacchia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29449-29468
Collapse or Thrive: Perils and Promises of Synthetic Data in a Self-Generating World
Joshua Kazdan, Rylan Schaeffer, Apratim Dey, Matthias Gerstgrasser, Rafael Rafailov, David L. Donoho, Sanmi Koyejo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29469-29494
Wyckoff Transformer: Generation of Symmetric Crystals
Nikita Kazeev, Wei Nong, Ignat Romanov, Ruiming Zhu, Andrey E Ustyuzhanin, Shuya Yamazaki, Kedar Hippalgaonkar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29495-29526
Model-Based Exploration in Monitored Markov Decision Processes
Alireza Kazemipour, Matthew E. Taylor, Michael Bowling; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29527-29556
VinePPO: Refining Credit Assignment in RL Training of LLMs
Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, Alessandro Sordoni, Siva Reddy, Aaron Courville, Nicolas Le Roux; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29557-29590
Conservative Offline Goal-Conditioned Implicit V-Learning
Kaiqiang Ke, Qian Lin, Zongkai Liu, Shenghong He, Chao Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29591-29607
Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors
Jingyang Ke, Feiyang Wu, Jiyi Wang, Jeffrey Markowitz, Anqi Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29608-29625
Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion
Anle Ke, Xu Zhang, Tong Chen, Ming Lu, Chao Zhou, Jiawen Gu, Zhan Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29626-29650
Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models
Armin Kekić, Sergio Hernan Garrido Mejia, Bernhard Schölkopf; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29651-29669
Bayesian Inference for Correlated Human Experts and Classifiers
Markelle Kelly, Alex James Boyd, Sam Showalter, Mark Steyvers, Padhraic Smyth; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29670-29686
Scalable Meta-Learning via Mixed-Mode Differentiation
Iurii Kemaev, Dan A. Calian, Luisa M Zintgraf, Gregory Farquhar, Hado Van Hasselt; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29687-29705
When and How Does CLIP Enable Domain and Compositional Generalization?
Elias Kempf, Simon Schrodi, Max Argus, Thomas Brox; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29706-29734
ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy
Kian Kenyon-Dean, Zitong Jerry Wang, John Urbanik, Konstantin Donhauser, Jason Hartford, Saber Saberian, Nil Sahin, Ihab Bendidi, Safiye Celik, Juan Sebastián Rodrı́guez Vera, Marta Fay, Imran S Haque, Oren Kraus; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29735-29752
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Milad Khademi Nori, Il Min Kim, Guanghui Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29753-29767
SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity
Samir Khaki, Xiuyu Li, Junxian Guo, Ligeng Zhu, Konstantinos N. Plataniotis, Amir Yazdanbakhsh, Kurt Keutzer, Song Han, Zhijian Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29768-29783
FlexiClip: Locality-Preserving Free-Form Character Animation
Anant Khandelwal; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29784-29798
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
Samar Khanna, Medhanie Irgau, David B. Lobell, Stefano Ermon; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29799-29818
Scaling Sparse Feature Circuits For Studying In-Context Learning
Dmitrii Kharlapenko, Stepan Shabalin, Arthur Conmy, Neel Nanda; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29819-29851
Safely Learning Optimal Auctions: A Testable Learning Framework for Mechanism Design
Vikram Kher, Manolis Zampetakis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29852-29868
Hierarchical Reinforcement Learning with Targeted Causal Interventions
Mohammadsadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Matthias Grossglauser; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29869-29912
Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems
Yujun Kim, Jaeyoung Cha, Chulhee Yun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29913-29968
Neural Genetic Search in Discrete Spaces
Hyeonah Kim, Sanghyeok Choi, Jiwoo Son, Jinkyoo Park, Changhyun Kwon; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29969-29987
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning
Jungtaek Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:29988-30010
GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance
Jinuk Kim, Marwa El Halabi, Wonpyo Park, Clemens Js Schaefer, Deokjae Lee, Yeonhong Park, Jae W. Lee, Hyun Oh Song; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30011-30037
Correlated Errors in Large Language Models
Elliot Myunghoon Kim, Avi Garg, Kenny Peng, Nikhil Garg; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30038-30066
NegMerge: Sign-Consensual Weight Merging for Machine Unlearning
Hyo Seo Kim, Dongyoon Han, Junsuk Choe; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30067-30085
SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models
Han-Byul Kim, Duc N.M Hoang, Arnav Kundu, Mohammad Samragh, Minsik Cho; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30086-30098
K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes
Hideaki Kim, Tomoharu Iwata, Akinori Fujino; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30099-30112
MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition
Sungnyun Kim, Kangwook Jang, Sangmin Bae, Sungwoo Cho, Se-Young Yun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30113-30131
BoA: Attention-aware Post-training Quantization without Backpropagation
Junhan Kim, Ho-Young Kim, Eulrang Cho, Chungman Lee, Joonyoung Kim, Yongkweon Jeon; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30132-30152
When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class
Yujin Kim, Hyunsoo Kim, Hyunwoo J. Kim, Suhyun Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30153-30175
Do Not Mimic My Voice : Speaker Identity Unlearning for Zero-Shot Text-to-Speech
Taesoo Kim, Jinju Kim, Dong Chan Kim, Jong Hwan Ko, Gyeong-Moon Park; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30176-30198
Active Learning with Selective Time-Step Acquisition for PDEs
Yegon Kim, Hyunsu Kim, Gyeonghoon Ko, Juho Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30199-30223
LoRA Training Provably Converges to a Low-Rank Global Minimum Or It Fails Loudly (But it Probably Won’t Fail)
Junsu Kim, Jaeyeon Kim, Ernest K. Ryu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30224-30247
Federated Learning for Feature Generalization with Convex Constraints
Dongwon Kim, Donghee Kim, Sung Kuk Shyn, Kwangsu Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30248-30266
Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective
Joonkyu Kim, Yejin Kim, Jy-Yong Sohn; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30267-30289
Improved Off-policy Reinforcement Learning in Biological Sequence Design
Hyeonah Kim, Minsu Kim, Taeyoung Yun, Sanghyeok Choi, Emmanuel Bengio, Alex Hernández-Garcı́a, Jinkyoo Park; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30290-30315
Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks
Sungwon Kim, Namkyeong Lee, Yunyoung Doh, Seungmin Shin, Guimok Cho, Seung-Won Jeon, Sangkook Kim, Chanyoung Park; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30316-30333
Symmetry-Aware GFlowNets
Hohyun Kim, Seunggeun Lee, Min-Hwan Oh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30334-30362
Fair Clustering via Alignment
Kunwoong Kim, Jihu Lee, Sangchul Park, Yongdai Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30363-30399
Peri-LN: Revisiting Normalization Layer in the Transformer Architecture
Jeonghoon Kim, Byeongchan Lee, Cheonbok Park, Yeontaek Oh, Beomjun Kim, Taehwan Yoo, Seongjin Shin, Dongyoon Han, Jinwoo Shin, Kang Min Yoo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30400-30436
NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
Myunsoo Kim, Hayeong Lee, Seong-Woong Shim, Junho Seo, Byung-Jun Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30437-30461
TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation
Jaeho Kim, Seulki Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30462-30479
Provable Benefit of Random Permutations over Uniform Sampling in Stochastic Coordinate Descent
Donghwa Kim, Jaewook Lee, Chulhee Yun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30480-30547
HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training
Geon-Woo Kim, Junbo Li, Shashidhar Gandham, Omar Baldonado, Adithya Gangidi, Pavan Balaji, Zhangyang Wang, Aditya Akella; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30548-30566
Flow-field inference from neural data using deep recurrent networks
Timothy Doyeon Kim, Thomas Zhihao Luo, Tankut Can, Kamesh Krishnamurthy, Jonathan W. Pillow, Carlos D Brody; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30567-30590
Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
Hyungi Kim, Jisoo Mok, Dongjun Lee, Jaihyun Lew, Sungjae Kim, Sungroh Yoon; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30591-30608
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens
Jaehyeon Kim, Taehong Moon, Keon Lee, Jaewoong Cho; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30609-30630
Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning
Cheol Woo Kim, Jai Moondra, Shresth Verma, Madeleine Pollack, Lingkai Kong, Milind Tambe, Swati Gupta; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30631-30653
Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning
Sungjune Kim, Gyeongrok Oh, Heeju Ko, Daehyun Ji, Dongwook Lee, Byung-Jun Lee, Sujin Jang, Sangpil Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30654-30671
Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries
Junhyuck Kim, Jongho Park, Jaewoong Cho, Dimitris Papailiopoulos; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30672-30687
Linear Bandits with Partially Observable Features
Wonyoung Kim, Sungwoo Park, Garud Iyengar, Assaf Zeevi, Min-Hwan Oh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30688-30719
Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks
Jeongmo Kim, Yisak Park, Minung Kim, Seungyul Han; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30720-30748
Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions
Jaeyeon Kim, Kulin Shah, Vasilis Kontonis, Sham M. Kakade, Sitan Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30749-30768
Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data
Jeonghye Kim, Yongjae Shin, Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Youngchul Sung, Kanghoon Lee, Woohyung Lim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30769-30790
Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation
Juno Kim, Denny Wu, Jason D. Lee, Taiji Suzuki; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30791-30825
Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization
Kyurae Kim, Zuheng Xu, Jacob R. Gardner, Trevor Campbell; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30826-30878
Optimal Transport Barycenter via Nonconvex-Concave Minimax Optimization
Kaheon Kim, Rentian Yao, Changbo Zhu, Xiaohui Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30879-30899
Improving Out-of-Distribution Detection with Markov Logic Networks
Konstantin Kirchheim, Frank Ortmeier; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30900-30910
Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency
Michael Kirchhof, James Thornton, Louis Béthune, Pierre Ablin, Eugene Ndiaye, Marco Cuturi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30911-30942
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
Shayan Kiyani, George J. Pappas, Aaron Roth, Hamed Hassani; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30943-30965
Policy Design for Two-sided Platforms with Participation Dynamics
Haruka Kiyohara, Fan Yao, Sarah Dean; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30966-30985
Fleet of Agents: Coordinated Problem Solving with Large Language Models
Lars Henning Klein, Nearchos Potamitis, Roland Aydin, Robert West, Caglar Gulcehre, Akhil Arora; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:30986-31019
BAnG: Bidirectional Anchored Generation for Conditional RNA Design
Roman Klypa, Alberto Bietti, Sergei Grudinin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31020-31043
DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, Se-Young Yun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31044-31062
Preference Learning for AI Alignment: a Causal Perspective
Kasia Kobalczyk, Mihaela Van Der Schaar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31063-31083
Gravity-Bench-v1: A Benchmark on Gravitational Physics Discovery for Agents
Nolan Koblischke, Hyunseok Jang, Kristen Menou, Mohamad Ali-Dib; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31084-31104
Overestimation in LLM Evaluation: A Controlled Large-Scale Study on Data Contamination’s Impact on Machine Translation
Muhammed Yusuf Kocyigit, Eleftheria Briakou, Daniel Deutsch, Jiaming Luo, Colin Cherry, Markus Freitag; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31105-31132
Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs
Andrey Kofnov, Daniel Kapla, Ezio Bartocci, Efstathia Bura; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31133-31157
The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction
Alex Kokot, Octavian-Vlad Murad, Marina Meila; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31158-31181
Rank-One Modified Value Iteration
Arman Sharifi Kolarijani, Tolga Ok, Peyman Mohajerin Esfahani, Mohamad Amin Sharifi Kolarijani; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31182-31201
Field Matching: an Electrostatic Paradigm to Generate and Transfer Data
Alexander Kolesov, S. I. Manukhov, Vladimir Vladimirovich Palyulin, Alexander Korotin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31202-31222
A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks
Varshita Kolipaka, Akshit Sinha, Debangan Mishra, Sumit Kumar, Arvindh Arun, Shashwat Goel, Ponnurangam Kumaraguru; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31223-31248
Feature-Mapping Topology Optimization with Neural Heaviside Signed Distance Functions
Aleksandr Kolomeitsev, Anh-Huy Phan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31249-31274
Certified Unlearning for Neural Networks
Anastasia Koloskova, Youssef Allouah, Animesh Jha, Rachid Guerraoui, Sanmi Koyejo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31275-31298
NMA-tune: Generating Highly Designable and Dynamics Aware Protein Backbones
Urszula Julia Komorowska, Francisco Vargas, Alessandro Rondina, Pietro Lio, Mateja Jamnik; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31299-31321
Learning Minimum-Size BDDs: Towards Efficient Exact Algorithms
Christian Komusiewicz, Andre Schidler, Frank Sommer, Manuel Sorge, Luca Pascal Staus; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31322-31341
Constrained Pareto Set Identification with Bandit Feedback
Cyrille Kone, Emilie Kaufmann, Laura Richert; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31342-31378
Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer
Yilun Kong, Guozheng Ma, Qi Zhao, Haoyu Wang, Li Shen, Xueqian Wang, Dacheng Tao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31379-31396
UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design
Xiangzhe Kong, Zishen Zhang, Ziting Zhang, Rui Jiao, Jianzhu Ma, Wenbing Huang, Kai Liu, Yang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31397-31418
Latent Thought Models with Variational Bayes Inference-Time Computation
Deqian Kong, Minglu Zhao, Dehong Xu, Bo Pang, Shu Wang, Edouardo Honig, Zhangzhang Si, Chuan Li, Jianwen Xie, Sirui Xie, Ying Nian Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31419-31436
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration
Andreas Kontogiannis, Konstantinos Papathanasiou, Yi Shen, Giorgos Stamou, Michael M. Zavlanos, George Vouros; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31437-31466
FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields
Gwanhyeong Koo, Sunjae Yoon, Younghwan Lee, Ji Woo Hong, Chang D. Yoo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31467-31485
Identifiable Object Representations under Spatial Ambiguities
Avinash Kori, Francesca Toni, Ben Glocker; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31486-31518
Phase transitions for the existence of unregularized M-estimators in single index models
Takuya Koriyama, Pierre C Bellec; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31519-31540
Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization
Guy Kornowski, Daogao Liu, Kunal Talwar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31541-31559
Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups
Vladimir R Kostic, Karim Lounici, Hélène Halconruy, Timothée Devergne, Pietro Novelli, Massimiliano Pontil; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31560-31589
Sharp Optimality of Simple, Plug-in Estimation of the Fisher Information of a Smoothed Density
Subhodh Kotekal; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31590-31618
Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads
Siqi Kou, Jiachun Jin, Zhihong Liu, Chang Liu, Ye Ma, Jian Jia, Quan Chen, Peng Jiang, Zhijie Deng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31619-31633
CFPT: Empowering Time Series Forecasting through Cross-Frequency Interaction and Periodic-Aware Timestamp Modeling
Feifei Kou, Jiahao Wang, Lei Shi, Yuhan Yao, Yawen Li, Suguo Zhu, Zhongbao Zhang, Junping Du; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31634-31647
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling
Theodoros Kouzelis, Ioannis Kakogeorgiou, Spyros Gidaris, Nikos Komodakis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31648-31666
Privacy Attacks on Image AutoRegressive Models
Antoni Kowalczuk, Jan Dubiński, Franziska Boenisch, Adam Dziedzic; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31667-31695
Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves
Amer Krivošija, Alexander Munteanu, André Nusser, Chris Schwiegelshohn; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31696-31726
Categorical Schrödinger Bridge Matching
Grigoriy Ksenofontov, Alexander Korotin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31727-31751
Customizing the Inductive Biases of Softmax Attention using Structured Matrices
Yilun Kuang, Noah Amsel, Sanae Lotfi, Shikai Qiu, Andres Potapczynski, Andrew Gordon Wilson; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31752-31776
Reconstructing Cell Lineage Trees from Phenotypic Features with Metric Learning
Da Kuang, Guanwen Qiu, Junhyong Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31777-31820
How to Train Your Multi-Exit Model? Analyzing the Impact of Training Strategies
Piotr Kubaty, Bartosz Wójcik, Bartłomiej Tomasz Krzepkowski, Monika Michaluk, Tomasz Trzcinski, Jary Pomponi, Kamil Adamczewski; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31821-31840
Patch-wise Structural Loss for Time Series Forecasting
Dilfira Kudrat, Zongxia Xie, Yanru Sun, Tianyu Jia, Qinghua Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31841-31859
Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design
Marino Kühne, Panagiotis D. Grontas, Giulia De Pasquale, Giuseppe Belgioioso, Florian Dorfler, John Lygeros; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31860-31875
Positive-unlabeled AUC Maximization under Covariate Shift
Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Kazuki Adachi, Yasuhiro Fujiwara; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31876-31891
A Model of Place Field Reorganization During Reward Maximization
M Ganesh Kumar, Blake Bordelon, Jacob A Zavatone-Veth, Cengiz Pehlevan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31892-31929
The Complexity of Learning Sparse Superposed Features with Feedback
Akash Kumar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31930-31963
A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
Shivam Kumar, Yun Yang, Lizhen Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31964-31990
Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win
Lorenz Kummer, Samir Moustafa, Anatol Ehrlich, Franka Bause, Nikolaus Suess, Wilfried N. Gansterer, Nils Morten Kriege; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:31991-32010
Steerable Transformers for Volumetric Data
Soumyabrata Kundu, Risi Kondor; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32011-32031
Dynamical phases of short-term memory mechanisms in RNNs
Bariscan Kurtkaya, Fatih Dinc, Mert Yuksekgonul, Marta Blanco-Pozo, Ege Cirakman, Mark Schnitzer, Yucel Yemez, Hidenori Tanaka, Peng Yuan, Nina Miolane; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32032-32062
QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval
Jaehyun Kwak, Ramahdani Muhammad Izaaz Inhar, Se-Young Yun, Sung-Ju Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32063-32077
Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective
Firas Laakom, Haobo Chen, Jürgen Schmidhuber, Yuheng Bu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32078-32115
High-Fidelity Simultaneous Speech-To-Speech Translation
Tom Labiausse, Laurent Mazaré, Edouard Grave, Alexandre Défossez, Neil Zeghidour; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32116-32129
Dynamic Similarity Graph Construction with Kernel Density Estimation
Steinar Laenen, Peter Macgregor, He Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32130-32163
An Efficient Search-and-Score Algorithm for Ancestral Graphs using Multivariate Information Scores for Complex Non-linear and Categorical Data
Nikita Lagrange, Herve Isambert; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32164-32187
Scalable Approximation Algorithms for $p$-Wasserstein Distance and Its Variants
Nathaniel Lahn, Sharath Raghvendra, Emma Saarinen, Pouyan Shirzadian; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32188-32205
Joint Localization and Activation Editing for Low-Resource Fine-Tuning
Wen Lai, Alexander Fraser, Ivan Titov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32206-32227
FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation
Yuheng Lai, Leying Guan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32228-32245
Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss
Bo-Han Lai, Pin-Han Huang, Bo-Han Kung, Shang-Tse Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32246-32277
AssistanceZero: Scalably Solving Assistance Games
Cassidy Laidlaw, Eli Bronstein, Timothy Guo, Dylan Feng, Lukas Berglund, Justin Svegliato, Stuart Russell, Anca Dragan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32278-32305
On the Private Estimation of Smooth Transport Maps
Clément Lalanne, Franck Iutzeler, Jean-Michel Loubes, Julien Chhor; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32306-32338
Focus On This, Not That! Steering LLMs with Adaptive Feature Specification
Tom A. Lamb, Adam Davies, Alasdair Paren, Philip Torr, Francesco Pinto; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32339-32374
A Theoretical Justification for Asymmetric Actor-Critic Algorithms
Gaspard Lambrechts, Damien Ernst, Aditya Mahajan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32375-32405
Simple Randomized Rounding for Max-Min Eigenvalue Augmentation
Jourdain Lamperski, Haeseong Yang, Oleg Prokopyev; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32406-32419
A Meta-learner for Heterogeneous Effects in Difference-in-Differences
Hui Lan, Haoge Chang, Eleanor Wiske Dillon, Vasilis Syrgkanis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32420-32451
Liger: Linearizing Large Language Models to Gated Recurrent Structures
Disen Lan, Weigao Sun, Jiaxi Hu, Jusen Du, Yu Cheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32452-32466
Near-optimal Regret Using Policy Optimization in Online MDPs with Aggregate Bandit Feedback
Tal Lancewicki, Yishay Mansour; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32467-32491
Gradient-based Explanations for Deep Learning Survival Models
Sophie Hanna Langbein, Niklas Koenen, Marvin N. Wright; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32492-32522
Feedforward Few-shot Species Range Estimation
Christian Lange, Max Hamilton, Elijah Cole, Alexander Shepard, Samuel Heinrich, Angela Zhu, Subhransu Maji, Grant Van Horn, Oisin Mac Aodha; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32523-32561
Robust and Conjugate Spatio-Temporal Gaussian Processes
William Laplante, Matias Altamirano, Andrew B. Duncan, Jeremias Knoblauch, Francois-Xavier Briol; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32562-32592
Analyze Feature Flow to Enhance Interpretation and Steering in Language Models
Daniil Laptev, Nikita Balagansky, Yaroslav Aksenov, Daniil Gavrilov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32593-32616
Adaptive kernel predictors from feature-learning infinite limits of neural networks
Clarissa Lauditi, Blake Bordelon, Cengiz Pehlevan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32617-32648
Understanding Fixed Predictions via Confined Regions
Connor Lawless, Tsui-Wei Weng, Berk Ustun, Madeleine Udell; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32649-32674
Fixed-Confidence Multiple Change Point Identification under Bandit Feedback
Joseph Lazzaro, Ciara Pike-Burke; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32675-32703
Learning Utilities from Demonstrations in Markov Decision Processes
Filippo Lazzati, Alberto Maria Metelli; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32704-32770
Scalable Sobolev IPM for Probability Measures on a Graph
Tam Le, Truyen Nguyen, Hideitsu Hino, Kenji Fukumizu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32771-32802
Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models
Patrick Leask, Neel Nanda, Noura Al Moubayed; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32803-32829
Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks
Benjamin Leblanc, Mathieu Bazinet, Nathaniel D’Amours, Alexandre Drouin, Pascal Germain; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32830-32852
On the Learnability of Distribution Classes with Adaptive Adversaries
Tosca Lechner, Alex Bie, Gautam Kamath; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32853-32877
Are Large Brainwave Foundation Models Capable Yet ? Insights from Fine-Tuning
Na Lee, Konstantinos Barmpas, Yannis Panagakis, Dimitrios Adamos, Nikolaos Laskaris, Stefanos Zafeiriou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32878-32888
Bayesian Weight Enhancement with Steady-State Adaptation for Test-time Adaptation in Dynamic Environments
Jae-Hong Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32889-32906
Near-Optimal Sample Complexity for MDPs via Anchoring
Jongmin Lee, Mario Bravo, Roberto Cominetti; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32907-32929
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
Nayoung Lee, Ziyang Cai, Avi Schwarzschild, Kangwook Lee, Dimitris Papailiopoulos; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32930-32964
Unpaired Point Cloud Completion via Unbalanced Optimal Transport
Taekyung Lee, Jaemoo Choi, Jaewoong Choi, Myungjoo Kang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32965-32986
Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning
Kyowoon Lee, Jaesik Choi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:32987-33004
Test-Time Adaptation with Binary Feedback
Taeckyung Lee, Sorn Chottananurak, Junsu Kim, Jinwoo Shin, Taesik Gong, Sung-Ju Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33005-33024
Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning
Sunwoo Lee, Jaebak Hwang, Yonghyeon Jo, Seungyul Han; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33025-33056
How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects
Wonkwang Lee, Jongwon Jeong, Taehong Moon, Hyeon-Jong Kim, Jaehyeon Kim, Gunhee Kim, Byeong-Uk Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33110-33128
Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization
Seungbeom Lee, Munsun Jo, Jungseul Ok, Dongwoo Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33129-33142
FlashTP: Fused, Sparsity-Aware Tensor Product for Machine Learning Interatomic Potentials
Seung Yul Lee, Hojoon Kim, Yutack Park, Dawoon Jeong, Seungwu Han, Yeonhong Park, Jae W. Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33143-33156
ETTA: Elucidating the Design Space of Text-to-Audio Models
Sang-Gil Lee, Zhifeng Kong, Arushi Goel, Sungwon Kim, Rafael Valle, Bryan Catanzaro; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33157-33180
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block
Dooho Lee, Myeong Kong, Sagad Hamid, Cheonwoo Lee, Jaemin Yoo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33181-33204
GenMol: A Drug Discovery Generalist with Discrete Diffusion
Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Yuxing Peng, Saee Gopal Paliwal, Weili Nie, Arash Vahdat; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33205-33226
Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning
Dongsu Lee, Minhae Kwon; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33227-33242
Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
Dongwoo Lee, Dong Bok Lee, Steven Adriaensen, Juho Lee, Sung Ju Hwang, Frank Hutter, Seon Joo Kim, Hae Beom Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33243-33275
ELITE: Enhanced Language-Image Toxicity Evaluation for Safety
Wonjun Lee, Doehyeon Lee, Eugene Choi, Sangyoon Yu, Ashkan Yousefpour, Haon Park, Bumsub Ham, Suhyun Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33276-33299
SAFE: Finding Sparse and Flat Minima to Improve Pruning
Dongyeop Lee, Kwanhee Lee, Jinseok Chung, Namhoon Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33300-33321
Fluctuations of the largest eigenvalues of transformed spiked Wigner matrices
Aro Lee, Ji Oon Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33322-33351
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hojoon Lee, Youngdo Lee, Takuma Seno, Donghu Kim, Peter Stone, Jaegul Choo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33352-33403
On the Similarities of Embeddings in Contrastive Learning
Chungpa Lee, Sehee Lim, Kibok Lee, Jy-Yong Sohn; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33404-33434
All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments Performance
Jasper C.H. Lee, Walter Mckelvie, Maoyuan Song, Paul Valiant; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33435-33475
Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
Justin Lee, Behnaz Moradijamei, Heman Shakeri; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33476-33498
Chip Placement with Diffusion Models
Vint Lee, Minh Nguyen, Leena Elzeiny, Chun Deng, Pieter Abbeel, John Wawrzynek; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33499-33514
Combinatorial Reinforcement Learning with Preference Feedback
Joongkyu Lee, Min-Hwan Oh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33515-33575
Improved Online Confidence Bounds for Multinomial Logistic Bandits
Joongkyu Lee, Min-Hwan Oh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33576-33615
ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification
Hyunseok Lee, Seunghyuk Oh, Jaehyung Kim, Jinwoo Shin, Jihoon Tack; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33616-33634
Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion
Dohoon Lee, Jaehyun Park, Hyunwoo J. Kim, Kyogu Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33635-33654
Channel Normalization for Time Series Channel Identification
Seunghan Lee, Taeyoung Park, Kibok Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33655-33687
From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers
Yoon Hyeok Lee, Jaemin Park, Taejin Paik, Doyun Kim, Bosun Hwang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33688-33714
Self-supervised Adversarial Purification for Graph Neural Networks
Woohyun Lee, Hogun Park; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33715-33735
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Thomas L Lee, William Toner, Rajkarn Singh, Artjom Joosen, Martin Asenov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33736-33764
Structure Is All You Need: Structural Representation Learning on Hyper-Relational Knowledge Graphs
Jaejun Lee, Joyce Jiyoung Whang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33765-33783
RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior
Ching-Hua Lee, Chouchang Yang, Jaejin Cho, Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Yilin Shen, Hongxia Jin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33784-33814
Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage
Saehyung Lee, Seunghyun Yoon, Trung Bui, Jing Shi, Sungroh Yoon; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33815-33832
Efficient Distributed Optimization under Heavy-Tailed Noise
Su Hyeong Lee, Manzil Zaheer, Tian Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33833-33882
DRAG: Data Reconstruction Attack using Guided Diffusion
Wa-Kin Lei, Jun-Cheng Chen, Shang-Tse Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33883-33901
M3-JEPA: Multimodal Alignment via Multi-gate MoE based on the Joint-Embedding Predictive Architecture
Hongyang Lei, Xiaolong Cheng, Qi Qin, Dan Wang, Huazhen Huang, Qingqing Gu, Yetao Wu, Luo Ji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33902-33917
iN2V: Bringing Transductive Node Embeddings to Inductive Graphs
Nicolas Lell, Ansgar Scherp; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33918-33940
Quantum Optimization via Gradient-Based Hamiltonian Descent
Jiaqi Leng, Bin Shi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33941-33959
Attributes Shape the Embedding Space of Face Recognition Models
Pierrick Leroy, Antonio Mastropietro, Marco Nurisso, Francesco Vaccarino; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33960-33983
A Simple Model of Inference Scaling Laws
Noam Itzhak Levi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33984-33998
The Double-Ellipsoid Geometry of CLIP
Meir Yossef Levi, Guy Gilboa; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:33999-34019
The Underlying Universal Statistical Structure of Natural Datasets
Noam Itzhak Levi, Yaron Oz; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34020-34043
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation
Jianze Li, Jiezhang Cao, Yong Guo, Wenbo Li, Yulun Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34044-34053
Large Language-Geometry Model: When LLM meets Equivariance
Zongzhao Li, Jiacheng Cen, Bing Su, Tingyang Xu, Yu Rong, Deli Zhao, Wenbing Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34054-34073
Taming Knowledge Conflicts in Language Models
Gaotang Li, Yuzhong Chen, Hanghang Tong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34074-34104
When Bad Data Leads to Good Models
Kenneth Li, Yida Chen, Fernanda Viégas, Martin Wattenberg; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34105-34118
EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction
Ming Li, Yukang Cheng, Lu Bai, Feilong Cao, Ke Lv, Jiye Liang, Pietro Lio; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34119-34143
Near Optimal Non-asymptotic Sample Complexity of 1-Identification
Zitian Li, Wang Chi Cheung; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34144-34184
Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation
He Li, Haoang Chi, Mingyu Liu, Wanrong Huang, Liyang Xu, Wenjing Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34185-34208
From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline
Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34209-34231
Eliciting Language Model Behaviors with Investigator Agents
Xiang Lisa Li, Neil Chowdhury, Daniel D. Johnson, Tatsunori Hashimoto, Percy Liang, Sarah Schwettmann, Jacob Steinhardt; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34232-34251
Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator
Yu Xin Li, Felix Dangel, Derek Tam, Colin Raffel; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34252-34270
Towards Black-Box Membership Inference Attack for Diffusion Models
Jingwei Li, Jing Dong, Tianxing He, Jingzhao Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34271-34287
WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving
Yiheng Li, Cunxin Fan, Chongjian Ge, Seth Z. Zhao, Chenran Li, Chenfeng Xu, Huaxiu Yao, Masayoshi Tomizuka, Bolei Zhou, Chen Tang, Mingyu Ding, Wei Zhan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34288-34311
Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models
Chao Li, Jiawei Fan, Anbang Yao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34312-34332
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
Yuecheng Li, Lele Fu, Tong Wang, Jian Lou, Bin Chen, Lei Yang, Jian Shen, Zibin Zheng, Chuan Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34333-34354
RuleAdapter: Dynamic Rules for training Safety Reward Models in RLHF
Xiaomin Li, Mingye Gao, Zhiwei Zhang, Jingxuan Fan, Weiyu Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34355-34378
Core Knowledge Deficits in Multi-Modal Language Models
Yijiang Li, Qingying Gao, Tianwei Zhao, Bingyang Wang, Haoran Sun, Haiyun Lyu, Robert D. Hawkins, Nuno Vasconcelos, Tal Golan, Dezhi Luo, Hokin Deng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34379-34409
An Efficient Private GPT Never Autoregressively Decodes
Zhengyi Li, Yue Guan, Kang Yang, Yu Feng, Ning Liu, Yu Yu, Jingwen Leng, Minyi Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34410-34428
(How) Do Language Models Track State?
Belinda Z. Li, Zifan Carl Guo, Jacob Andreas; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34429-34452
Instruct2See: Learning to Remove Any Obstructions Across Distributions
Junhang Li, Yu Guo, Chuhua Xian, Shengfeng He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34453-34470
CodeIO: Condensing Reasoning Patterns via Code Input-Output Prediction
Junlong Li, Daya Guo, Dejian Yang, Runxin Xu, Yu Wu, Junxian He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34471-34489
Eigen Analysis of Conjugate Kernel and Neural Tangent Kernel
Xiangchao Li, Xiao Han, Qing Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34490-34508
R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models
Pengyi Li, Jianye Hao, Hongyao Tang, Yifu Yuan, Jinbin Qiao, Zibin Dong, Yan Zheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34509-34527
Average Sensitivity of Hierarchical $k$-Median Clustering
Shijie Li, Weiqiang He, Ruobing Bai, Pan Peng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34528-34548
Flat-LoRA: Low-Rank Adaptation over a Flat Loss Landscape
Tao Li, Zhengbao He, Yujun Li, Yasheng Wang, Lifeng Shang, Xiaolin Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34549-34563
What Limits Bidirectional Model’s Generative Capabilities? A Uni-Bi-Directional Mixture-of-Expert Method For Bidirectional Fine-tuning
Zuchao Li, Yonghua Hei, Qiwei Li, Lefei Zhang, Ping Wang, Hai Zhao, Baoyuan Qi, Liu Guoming; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34564-34577
Optimal Task Order for Continual Learning of Multiple Tasks
Ziyan Li, Naoki Hiratani; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34578-34603
Adapting Precomputed Features for Efficient Graph Condensation
Yuan Li, Jun Hu, Zemin Liu, Bryan Hooi, Jia Chen, Bingsheng He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34604-34617
Control and Realism: Best of Both Worlds in Layout-to-Image without Training
Bonan Li, Yinhan Hu, Songhua Liu, Xinchao Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34618-34629
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback
Yafu Li, Xuyang Hu, Xiaoye Qu, Linjie Li, Yu Cheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34630-34673
Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning
Xiangqi Li, Libo Huang, Zhulin An, Weilun Feng, Chuanguang Yang, Boyu Diao, Fei Wang, Yongjun Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34674-34687
GaussMarker: Robust Dual-Domain Watermark for Diffusion Models
Kecen Li, Zhicong Huang, Xinwen Hou, Cheng Hong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34688-34701
Reward-free World Models for Online Imitation Learning
Shangzhe Li, Zhiao Huang, Hao Su; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34702-34724
Pairwise Maximum Likelihood For Multi-Class Logistic Regression Model With Multiple Rare Classes
Xuetong Li, Danyang Huang, Hansheng Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34725-34741
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34742-34773
Sounding that Object: Interactive Object-Aware Image to Audio Generation
Tingle Li, Baihe Huang, Xiaobin Zhuang, Dongya Jia, Jiawei Chen, Yuping Wang, Zhuo Chen, Gopala Anumanchipalli, Yuxuan Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34774-34794
Are Large Language Models Ready for Multi-Turn Tabular Data Analysis?
Jinyang Li, Nan Huo, Yan Gao, Jiayi Shi, Yingxiu Zhao, Ge Qu, Bowen Qin, Yurong Wu, Xiaodong Li, Chenhao Ma, Jian-Guang Lou, Reynold Cheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34795-34835
Prediction-Powered Adaptive Shrinkage Estimation
Sida Li, Nikolaos Ignatiadis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34836-34875
EditLord: Learning Code Transformation Rules for Code Editing
Weichen Li, Albert Jan, Baishakhi Ray, Junfeng Yang, Chengzhi Mao, Kexin Pei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34876-34903
Learning from Sample Stability for Deep Clustering
Zhixin Li, Yuheng Jia, Hui Liu, Junhui Hou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34904-34919
Reinforced Lifelong Editing for Language Models
Zherui Li, Houcheng Jiang, Hao Chen, Baolong Bi, Zhenhong Zhou, Fei Sun, Junfeng Fang, Xiang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34920-34942
On the Generalization Ability of Next-Token-Prediction Pretraining
Zhihao Li, Xue Jiang, Liyuan Liu, Xuelin Zhang, Hong Chen, Feng Zheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34943-34975
Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits
Jinzhao Li, Nan Jiang, Yexiang Xue; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34976-34997
MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention
Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:34998-35020
Instance Correlation Graph-based Naive Bayes
Chengyuan Li, Liangxiao Jiang, Wenjun Zhang, Liangjun Yu, Huan Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35021-35033
Provable Efficiency of Guidance in Diffusion Models for General Data Distribution
Gen Li, Yuchen Jiao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35034-35046
Blink of an eye: a simple theory for feature localization in generative models
Marvin Li, Aayush Karan, Sitan Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35047-35080
SIMPLEMIX: Frustratingly Simple Mixing of Off- and On-policy Data in Language Model Preference Learning
Tianjian Li, Daniel Khashabi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35081-35100
Safety Alignment Can Be Not Superficial With Explicit Safety Signals
Jianwei Li, Jung-Eun Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35101-35135
LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models
Fanfei Li, Thomas Klein, Wieland Brendel, Robert Geirhos, Roland S. Zimmermann; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35136-35167
One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs
Yinghui Li, Jiayi Kuang, Haojing Huang, Zhikun Xu, Xinnian Liang, Yi Yu, Wenlian Lu, Yangning Li, Xiaoyu Tan, Chao Qu, Ying Shen, Hai-Tao Zheng, Philip S. Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35168-35185
DMOSpeech: Direct Metric Optimization via Distilled Diffusion Model in Zero-Shot Speech Synthesis
Yinghao Aaron Li, Rithesh Kumar, Zeyu Jin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35186-35208
MoE-SVD: Structured Mixture-of-Experts LLMs Compression via Singular Value Decomposition
Wei Li, Lujun Li, Hao Gu, You-Liang Huang, Mark G. Lee, Shengjie Sun, Wei Xue, Yike Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35209-35230
On the Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics
Binghui Li, Yuanzhi Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35231-35258
Approximation to Smooth Functions by Low-Rank Swish Networks
Zimeng Li, Hongjun Li, Jingyuan Wang, Ke Tang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35259-35291
R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts
Zhongyang Li, Ziyue Li, Tianyi Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35292-35316
One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory
Yuhang Li, Tong Liu, Yangguang Cui, Ming Hu, Xiaoqiang Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35317-35341
FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining
Dong Li, Yidi Liu, Xueyang Fu, Jie Huang, Senyan Xu, Qi Zhu, Zheng-Jun Zha; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35342-35365
RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations
Yushuai Li, Hengyu Liu, Torben Bach Pedersen, Yuqiang He, Kim Guldstrand Larsen, Lu Chen, Christian S. Jensen, Jiachen Xu, Tianyi Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35366-35389
Local Identifying Causal Relations in the Presence of Latent Variables
Zheng Li, Zeyu Liu, Feng Xie, Hao Zhang, Chunchen Liu, Zhi Geng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35390-35418
Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models
Yuan Li, Zhengzhong Liu, Eric Xing; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35419-35437
CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention
Han Li, Fei Liu, Zhi Zheng, Yu Zhang, Zhenkun Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35438-35456
From Black Boxes to Transparent Minds: Evaluating and Enhancing the Theory of Mind in Multimodal Large Language Models
Xinyang Li, Siqi Liu, Bochao Zou, Jiansheng Chen, Huimin Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35457-35480
BECAME: Bayesian Continual Learning with Adaptive Model Merging
Mei Li, Yuxiang Lu, Qinyan Dai, Suizhi Huang, Yue Ding, Hongtao Lu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35481-35501
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting
Boyuan Li, Yicheng Luo, Zhen Liu, Junhao Zheng, Jianming Lv, Qianli Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35502-35518
Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics
Shiwei Li, Xiandi Luo, Xing Tang, Haozhao Wang, Hao Chen, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35519-35535
The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35536-35561
STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization
Hao Li, Qi Lv, Rui Shao, Xiang Deng, Yinchuan Li, Jianye Hao, Liqiang Nie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35562-35580
Active Evaluation Acquisition for Efficient LLM Benchmarking
Yang Li, Jie Ma, Miguel Ballesteros, Yassine Benajiba, Graham Horwood; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35581-35602
Optimal Auction Design in the Joint Advertising
Yang Li, Yuchao Ma, Qi Qi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35603-35619
Learning Input Encodings for Kernel-Optimal Implicit Neural Representations
Zhemin Li, Liyuan Ma, Hongxia Wang, Yaoyun Zeng, Xiaolong Han; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35620-35636
Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning
Yang Li, Jiale Ma, Yebin Yang, Qitian Wu, Hongyuan Zha, Junchi Yan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35637-35655
Modified K-means Algorithm with Local Optimality Guarantees
Mingyi Li, Michael R. Metel, Akiko Takeda; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35656-35684
PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Chenyu Li, Oscar Michel, Xichen Pan, Sainan Liu, Mike Roberts, Saining Xie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35685-35709
Policy Guided Tree Search for Enhanced LLM Reasoning
Yang Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35710-35730
SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior
Jing-Jing Li, Valentina Pyatkin, Max Kleiman-Weiner, Liwei Jiang, Nouha Dziri, Anne Collins, Jana Schaich Borg, Maarten Sap, Yejin Choi, Sydney Levine; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35731-35752
Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models
Mingjia Li, Hong Qian, Tian-Zuo Wang, Shujun Li, Min Zhang, Aimin Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35753-35768
VIP: Vision Instructed Pre-training for Robotic Manipulation
Zhuoling Li, Liangliang Ren, Jinrong Yang, Yong Zhao, Xiaoyang Wu, Zhenhua Xu, Xiang Bai, Hengshuang Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35769-35778
Beyond Cropped Regions: New Benchmark and Corresponding Baseline for Chinese Scene Text Retrieval in Diverse Layouts
Gengluo Li, Huawen Shen, Yu Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35779-35798
The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models Via Visual Information Steering
Zhuowei Li, Haizhou Shi, Yunhe Gao, Di Liu, Zhenting Wang, Yuxiao Chen, Ting Liu, Long Zhao, Hao Wang, Dimitris N. Metaxas; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35799-35819
Deterministic Sparse Fourier Transform for Continuous Signals with Frequency Gap
Xiaoyu Li, Zhao Song, Shenghao Xie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35820-35857
Balanced Learning for Domain Adaptive Semantic Segmentation
Wangkai Li, Rui Sun, Bohao Liao, Zhaoyang Li, Tianzhu Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35858-35883
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling
Jinghan Li, Zhicheng Sun, Yadong Mu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35884-35908
Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness
Haoxuan Li, Zeyu Tang, Zhichao Jiang, Zhuangyan Fang, Yue Liu, Zhi Geng, Kun Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35909-35921
PatchPilot: A Cost-Efficient Software Engineering Agent with Early Attempts on Formal Verification
Hongwei Li, Yuheng Tang, Shiqi Wang, Wenbo Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35922-35941
Improving LLM Video Understanding with 16 Frames Per Second
Yixuan Li, Changli Tang, Jimin Zhuang, Yudong Yang, Guangzhi Sun, Wei Li, Zejun Ma, Chao Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35942-35956
What If We Recaption Billions of Web Images with LLaMA-3?
Xianhang Li, Haoqin Tu, Mude Hui, Zeyu Wang, Bingchen Zhao, Junfei Xiao, Sucheng Ren, Jieru Mei, Qing Liu, Huangjie Zheng, Yuyin Zhou, Cihang Xie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35957-35976
TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction
Hao Li, Hao Wan, Yuzhou Chen, Dongsheng Ye, Yulia Gel, Hao Jiang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:35977-35999
Dataflow-Guided Neuro-Symbolic Language Models for Type Inference
Gen Li, Yao Wan, Hongyu Zhang, Zhou Zhao, Wenbin Jiang, Xuanhua Shi, Hai Jin, Zheng Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36000-36020
Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes
Weihan Li, Yule Wang, Chengrui Li, Anqi Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36021-36041
PIPA: Preference Alignment as Prior-Informed Statistical Estimation
Junbo Li, Zhangyang Wang, Qiang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36042-36056
Towards Understanding Catastrophic Forgetting in Two-layer Convolutional Neural Networks
Boqi Li, Youjun Wang, Weiwei Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36057-36095
Geometry Informed Tokenization of Molecules for Language Model Generation
Xiner Li, Limei Wang, Youzhi Luo, Carl Edwards, Shurui Gui, Yuchao Lin, Heng Ji, Shuiwang Ji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36096-36128
Better to Teach than to Give: Domain Generalized Semantic Segmentation via Agent Queries with Diffusion Model Guidance
Fan Li, Xuan Wang, Min Qi, Zhaoxiang Zhang, Yuelei Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36129-36139
Settling the Maximin Share Fairness for Scheduling among Groups of Machines
Bo Li, Fangxiao Wang, Xing Shiji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36140-36150
FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
Yichen Li, Yuying Wang, Haozhao Wang, Yining Qi, Tianzhe Xiao, Ruixuan Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36151-36169
Generalizing Causal Effects from Randomized Controlled Trials to Target Populations across Diverse Environments
Baohong Li, Yingrong Wang, Anpeng Wu, Ming Ma, Ruoxuan Xiong, Kun Kuang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36170-36191
RobustLight: Improving Robustness via Diffusion Reinforcement Learning for Traffic Signal Control
Mingyuan Li, Jiahao Wang, Guangsheng Yu, Xu Wang, Qianrun Chen, Wei Ni, Lixiang Li, Haipeng Peng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36192-36214
Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum
Haoyang Li, Xin Wang, Zeyang Zhang, Zongyuan Wu, Linxin Xiao, Wenwu Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36215-36235
Reflection-Bench: Evaluating Epistemic Agency in Large Language Models
Lingyu Li, Yixu Wang, Haiquan Zhao, Shuqi Kong, Yan Teng, Chunbo Li, Yingchun Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36236-36264
Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts
Haoyang Li, Xin Wang, Xueling Zhu, Weigao Wen, Wenwu Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36265-36280
The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models
Zichao Li, Xueru Wen, Jie Lou, Yuqiu Ji, Yaojie Lu, Xianpei Han, Debing Zhang, Le Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36281-36297
Approximately Correct Label Distribution Learning
Weiwei Li, Haitao Wu, Yunan Lu, Xiuyi Jia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36298-36309
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach
Xunkai Li, Zhengyu Wu, Kaichi Yu, Hongchao Qin, Guang Zeng, Rong-Hua Li, Guoren Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36310-36339
Imagine While Reasoning in Space: Multimodal Visualization-of-Thought
Chengzu Li, Wenshan Wu, Huanyu Zhang, Yan Xia, Shaoguang Mao, Li Dong, Ivan Vulić, Furu Wei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36340-36364
Extracting Rare Dependence Patterns via Adaptive Sample Reweighting
Yiqing Li, Yewei Xia, Xiaofei Wang, Zhengming Chen, Liuhua Peng, Mingming Gong, Kun Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36365-36399
BCE vs. CE in Deep Feature Learning
Qiufu Li, Huibin Xiao, Linlin Shen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36400-36434
Revisiting Cooperative Off-Policy Multi-Agent Reinforcement Learning
Yueheng Li, Guangming Xie, Zongqing Lu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36435-36450
KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference
Xing Li, Zeyu Xing, Yiming Li, Linping Qu, Hui-Ling Zhen, Yiwu Yao, Wulong Liu, Sinno Jialin Pan, Mingxuan Yuan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36451-36485
One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework
Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Xiaochun Cao, Qingming Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36486-36529
Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment
Cheryl Li, Tianyuan Xu, Steven Y. Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36530-36550
Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding
Jinze Li, Yixing Xu, Haiduo Huang, Xuanwu Yin, Dong Li, Edith C. H. Ngai, Emad Barsoum; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36551-36575
Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing
Zhuoying Li, Zhu Xu, Yuxin Peng, Yang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36576-36596
Understanding Nonlinear Implicit Bias via Region Counts in Input Space
Jingwei Li, Jing Xu, Zifan Wang, Huishuai Zhang, Jingzhao Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36597-36613
LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence
Zhuoling Li, Xiaogang Xu, Zhenhua Xu, Ser-Nam Lim, Hengshuang Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36614-36623
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
Sicong Li, Qianqian Xu, Zhiyong Yang, Zitai Wang, Linchao Zhang, Xiaochun Cao, Qingming Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36624-36651
Learning from True-False Labels via Multi-modal Prompt Retrieving
Zhongnian Li, Jinghao Xu, Peng Ying, Meng Wei, Xinzheng Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36652-36666
Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Stochastic Bias and Remedies
Qiang Li, Michal Yemini, Hoi To Wai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36667-36689
GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration
Yuhang Li, Ruokai Yin, Donghyun Lee, Shiting Xiao, Priyadarshini Panda; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36690-36706
Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators
Shanda Li, Shinjae Yoo, Yiming Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36707-36721
MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
Jiazheng Li, Lu Yu, Qing Cui, Zhiqiang Zhang, Jun Zhou, Yanfang Ye, Chuxu Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36722-36742
LLM-Assisted Semantically Diverse Teammate Generation for Efficient Multi-agent Coordination
Lihe Li, Lei Yuan, Pengsen Liu, Tao Jiang, Yang Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36743-36764
Automatic Reward Shaping from Confounded Offline Data
Mingxuan Li, Junzhe Zhang, Elias Bareinboim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36765-36793
EgoPrivacy: What Your First-Person Camera Says About You?
Yijiang Li, Genpei Zhang, Jiacheng Cheng, Yi Li, Xiaojun Shan, Dashan Gao, Jiancheng Lyu, Yuan Li, Ning Bi, Nuno Vasconcelos; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36794-36809
Alpha-SQL: Zero-Shot Text-to-SQL using Monte Carlo Tree Search
Boyan Li, Jiayi Zhang, Ju Fan, Yanwei Xu, Chong Chen, Nan Tang, Yuyu Luo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36810-36830
CommVQ: Commutative Vector Quantization for KV Cache Compression
Junyan Li, Yang Zhang, Muhammad Yusuf Hassan, Talha Chafekar, Tianle Cai, Zhile Ren, Pengsheng Guo, Foroozan Karimzadeh, Colorado Reed, Chong Wang, Chuang Gan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36831-36845
LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs – No Silver Bullet for LC or RAG Routing
Kuan Li, Liwen Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Shuai Wang, Minhao Cheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36846-36867
InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory
Feifei Li, Mi Zhang, Zhaoxiang Wang, Min Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36868-36885
Tilted Sharpness-Aware Minimization
Tian Li, Tianyi Zhou, Jeff Bilmes; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36886-36905
Tensor Decomposition Based Memory-Efficient Incremental Learning
Yuhang Li, Guoxu Zhou, Zhenhao Huang, Xinqi Chen, Yuning Qiu, Qibin Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36906-36920
Geometric Representation Condition Improves Equivariant Molecule Generation
Zian Li, Cai Zhou, Xiyuan Wang, Xingang Peng, Muhan Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36921-36953
L-Diffusion: Laplace Diffusion for Efficient Pathology Image Segmentation
Weihan Li, Linyun Zhou, Jian Yang, Shengxuming Zhang, Xiangtong Du, Xiuming Zhang, Jing Zhang, Chaoqing Xu, Mingli Song, Zunlei Feng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36954-36973
Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts
Lan Li, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36974-36992
AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models
Zheng Lian, Haoyu Chen, Lan Chen, Haiyang Sun, Licai Sun, Yong Ren, Zebang Cheng, Bin Liu, Rui Liu, Xiaojiang Peng, Jiangyan Yi, Jianhua Tao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:36993-37014
OV-MER: Towards Open-Vocabulary Multimodal Emotion Recognition
Zheng Lian, Haiyang Sun, Licai Sun, Haoyu Chen, Lan Chen, Hao Gu, Zhuofan Wen, Shun Chen, Zhang Siyuan, Hailiang Yao, Bin Liu, Rui Liu, Shan Liang, Ya Li, Jiangyan Yi, Jianhua Tao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37015-37050
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37051-37070
Efficient Bisection Projection to Ensure Neural-Network Solution Feasibility for Optimization over General Set
Enming Liang, Minghua Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37071-37099
Achieving Linear Speedup and Near-Optimal Complexity for Decentralized Optimization over Row-stochastic Networks
Liyuan Liang, Xinyi Chen, Gan Luo, Kun Yuan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37100-37130
ROPO: Robust Preference Optimization for Large Language Models
Xize Liang, Chao Chen, Shuang Qiu, Jie Wang, Yue Wu, Zhihang Fu, Hanzhu Chen, Feng Wu, Jieping Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37131-37161
Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models
Jinhao Liang, Jacob K Christopher, Sven Koenig, Ferdinando Fioretto; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37162-37180
Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?
Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Ronghua Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37181-37207
Contrastive Learning with Simplicial Convolutional Networks for Short-Text Classification
Huang Liang, Benedict Lee, Daniel Hui Loong Ng, Kelin Xia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37208-37221
ML$^2$-GCL: Manifold Learning Inspired Lightweight Graph Contrastive Learning
Jianqing Liang, Zhiqiang Li, Xinkai Wei, Yuan Liu, Zhiqiang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37222-37236
TextCenGen: Attention-Guided Text-Centric Background Adaptation for Text-to-Image Generation
Tianyi Liang, Jiangqi Liu, Yifei Huang, Shiqi Jiang, Jianshen Shi, Changbo Wang, Chenhui Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37237-37256
COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering
Weixuan Liang, Xinwang Liu, Ke Liang, Jiyuan Liu, En Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37257-37280
BinauralFlow: A Causal and Streamable Approach for High-Quality Binaural Speech Synthesis with Flow Matching Models
Susan Liang, Dejan Markovic, Israel D. Gebru, Steven Krenn, Todd Keebler, Jacob Sandakly, Frank Yu, Samuel Hassel, Chenliang Xu, Alexander Richard; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37281-37298
Enhancing Performance of Explainable AI Models with Constrained Concept Refinement
Geyu Liang, Senne Michielssen, Salar Fattahi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37299-37338
Synonymous Variational Inference for Perceptual Image Compression
Zijian Liang, Kai Niu, Changshuo Wang, Jin Xu, Ping Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37339-37369
Compositional Generalization via Forced Rendering of Disentangled Latents
Qiyao Liang, Daoyuan Qian, Liu Ziyin, Ila R Fiete; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37370-37395
Robust Automatic Modulation Classification with Fuzzy Regularization
Xinyan Liang, Ruijie Sang, Yuhua Qian, Qian Guo, Feijiang Li, Liang Du; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37396-37408
Trusted Multi-View Classification with Expert Knowledge Constraints
Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du, Bingbing Jiang, Tingjin Luo, Feijiang Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37409-37426
Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples
Xize Liang, Lin Yang, Jie Wang, Yiyang Lu, Runyu Wu, Hanzhu Chen, Jianye Hao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37427-37441
BSO: Binary Spiking Online Optimization Algorithm
Yu Liang, Yu Yang, Wenjie Wei, Ammar Belatreche, Shuai Wang, Malu Zhang, Yang Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37442-37455
BOPO: Neural Combinatorial Optimization via Best-anchored and Objective-guided Preference Optimization
Zijun Liao, Jinbiao Chen, Debing Wang, Zizhen Zhang, Jiahai Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37456-37475
Curvature-aware Graph Attention for PDEs on Manifolds
Yunfeng Liao, Jiawen Guan, Xiucheng Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37476-37494
Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models
Yangxu Liao, Wenke Huang, Guancheng Wan, Jian Liang, Bin Yang, Mang Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37495-37510
Divide and Conquer: Exploring Language-centric Tree Reasoning for Video Question-Answering
Zhaohe Liao, Jiangtong Li, Siyu Sun, Qingyang Liu, Fengshun Xiao, Tianjiao Li, Qiang Zhang, Guang Chen, Li Niu, Changjun Jiang, Liqing Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37511-37527
FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models
Xinting Liao, Weiming Liu, Jiaming Qian, Pengyang Zhou, Jiahe Xu, Wenjie Wang, Chaochao Chen, Xiaolin Zheng, Tat-Seng Chua; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37528-37554
Reward-Guided Speculative Decoding for Efficient LLM Reasoning
Baohao Liao, Yuhui Xu, Hanze Dong, Junnan Li, Christof Monz, Silvio Savarese, Doyen Sahoo, Caiming Xiong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37555-37572
BOOD: Boundary-based Out-Of-Distribution Data Generation
Qilin Liao, Shuo Yang, Bo Zhao, Ping Luo, Hengshuang Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37573-37586
Unifews: You Need Fewer Operations for Efficient Graph Neural Networks
Ningyi Liao, Zihao Yu, Ruixiao Zeng, Siqiang Luo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37587-37609
Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization
Junyi Liao, Zihan Zhu, Ethan X Fang, Zhuoran Yang, Vahid Tarokh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37610-37622
Reinforced Learning Explicit Circuit Representations for Quantum State Characterization from Local Measurements
Manwen Liao, Yan Zhu, Weitian Zhang, Yuxiang Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37623-37641
Interaction-Aware Gaussian Weighting for Clustered Federated Learning
Alessandro Licciardi, Davide Leo, Eros Fanı̀, Barbara Caputo, Marco Ciccone; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37642-37666
UnHiPPO: Uncertainty-aware Initialization for State Space Models
Marten Lienen, Abdullah Saydemir, Stephan Günnemann; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37667-37681
Scaling Laws for Upcycling Mixture-of-Experts Language Models
Seng Pei Liew, Takuya Kato, Sho Takase; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37682-37704
PRIME: Deep Imbalanced Regression with Proxies
Jongin Lim, Sucheol Lee, Daeho Um, Sung-Un Park, Jinwoo Shin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37705-37729
Scalable Gaussian Processes with Latent Kronecker Structure
Jihao Andreas Lin, Sebastian Ament, Maximilian Balandat, David Eriksson, José Miguel Hernández-Lobato, Eytan Bakshy; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37730-37744
Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries
Yuena Lin, Haichun Cai, Jun-Yi Hang, Haobo Wang, Zhen Yang, Gengyu Lyu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37745-37761
Ensemble Learned Bloom Filters: Two Oracles are Better than One
Ming Lin, Lin Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37762-37779
Semantics-aware Test-time Adaptation for 3D Human Pose Estimation
Qiuxia Lin, Rongyu Chen, Kerui Gu, Angela Yao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37780-37796
Temporal Query Network for Efficient Multivariate Time Series Forecasting
Shengsheng Lin, Haojun Chen, Haijie Wu, Chunyun Qiu, Weiwei Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37797-37814
Tightening Causal Bounds via Covariate-Aware Optimal Transport
Sirui Lin, Zijun Gao, Jose Blanchet, Peter Glynn; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37815-37845
Latent Variable Estimation in Bayesian Black-Litterman Models
Thomas Yuan-Lung Lin, Jerry Yao-Chieh Hu, Paul W. Chiou, Peter Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37846-37873
PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model
Baijiong Lin, Weisen Jiang, Yuancheng Xu, Hao Chen, Ying-Cong Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37874-37888
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning
Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, Ashish Sabharwal, Radha Poovendran, Peter Clark, Yejin Choi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37889-37905
Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM’s Reasoning Capability
Zicheng Lin, Tian Liang, Jiahao Xu, Qiuzhi Liu, Xing Wang, Ruilin Luo, Chufan Shi, Siheng Li, Yujiu Yang, Zhaopeng Tu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37906-37918
Isolated Causal Effects of Natural Language
Victoria Lin, Louis-Philippe Morency, Eli Ben-Michael; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37919-37941
QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search
Zongyu Lin, Yao Tang, Xingcheng Yao, Da Yin, Ziniu Hu, Yizhou Sun, Kai-Wei Chang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37942-37958
Diffusion Adversarial Post-Training for One-Step Video Generation
Shanchuan Lin, Xin Xia, Yuxi Ren, Ceyuan Yang, Xuefeng Xiao, Lu Jiang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37959-37974
HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation
Tianwei Lin, Wenqiao Zhang, Sijing Li, Yuqian Yuan, Binhe Yu, Haoyuan Li, Wanggui He, Hao Jiang, Mengze Li, Song Xiaohui, Siliang Tang, Jun Xiao, Hui Lin, Yueting Zhuang, Beng Chin Ooi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37975-37995
Kona: An Efficient Privacy-Preservation Framework for KNN Classification by Communication Optimization
Guopeng Lin, Ruisheng Zhou, Shuyu Chen, Weili Han, Jin Tan, Wenjing Fang, Lei Wang, Tao Wei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:37996-38012
On Explaining Equivariant Graph Networks via Improved Relevance Propagation
Hongyi Ling, Haiyang Yu, Zhimeng Jiang, Na Zou, Shuiwang Ji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38013-38028
Looking Beyond the Top-1: Transformers Determine Top Tokens in Order
Daria Lioubashevski, Tomer M. Schlank, Gabriel Stanovsky, Ariel Goldstein; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38029-38048
ReFrame: Layer Caching for Accelerated Inference in Real-Time Rendering
Lufei Liu, Tor M. Aamodt; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38049-38065
A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver
Suyu Liu, Zhiguang Cao, Shanshan Feng, Yew-Soon Ong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38066-38101
DragSolver: A Multi-Scale Transformer for Real-World Automotive Drag Coefficient Estimation
Ye Liu, Yuntian Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38102-38118
Finite-Time Analysis of Discrete-Time Stochastic Interpolants
Yuhao Liu, Yu Chen, Rui Hu, Longbo Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38119-38143
SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization
Yan Liu, Mingjie Chen, Chaojie Ji, Hao Zhang, Ruxin Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38144-38168
Physics Aware Neural Networks for Unsupervised Binding Energy Prediction
Ke Liu, Hao Chen, Chunhua Shen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38169-38187
Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation
Jingyu Liu, Beidi Chen, Ce Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38188-38209
Language Models May Verbatim Complete Text They Were Not Explicitly Trained On
Ken Liu, Christopher A. Choquette-Choo, Matthew Jagielski, Peter Kairouz, Sanmi Koyejo, Percy Liang, Nicolas Papernot; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38210-38250
Offline Learning for Combinatorial Multi-armed Bandits
Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38251-38289
Iterative Vectors: In-Context Gradient Steering without Backpropagation
Yiting Liu, Zhi-Hong Deng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38290-38312
DexScale: Automating Data Scaling for Sim2Real Generalizable Robot Control
Guiliang Liu, Yueci Deng, Runyi Zhao, Huayi Zhou, Jian Chen, Jietao Chen, Ruiyan Xu, Yunxin Tai, Kui Jia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38313-38331
A Selective Learning Method for Temporal Graph Continual Learning
Hanmo Liu, Shimin Di, Haoyang Li, Xun Jian, Yue Wang, Lei Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38332-38350
SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation
Zihan Liu, Shuangrui Ding, Zhixiong Zhang, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Dahua Lin, Jiaqi Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38351-38364
Multilayer Matrix Factorization via Dimension-Reducing Diffusion Variational Inference
Junbin Liu, Farzan Farnia, Wing-Kin Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38365-38383
SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning
Yong Liu, Di Fu, Shenggan Cheng, Zirui Zhu, Yang Luo, Minhao Cheng, Cho-Jui Hsieh, Yang You; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38384-38396
Continual Reinforcement Learning by Planning with Online World Models
Zichen Liu, Guoji Fu, Chao Du, Wee Sun Lee, Min Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38397-38423
Learning Robust Neural Processes with Risk-Averse Stochastic Optimization
Huafeng Liu, Yiran Fu, Liping Jing, Hui Li, Shuyang Lin, Jingyue Shi, Deqiang Ouyang, Jian Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38424-38447
Quantum Speedup for Hypergraph Sparsification
Chenghua Liu, Minbo Gao, Zhengfeng Ji, Mingsheng Ying; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38448-38466
Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network
Jijia Liu, Feng Gao, Qingmin Liao, Chao Yu, Yu Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38467-38488
Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
Ryan Liu, Jiayi Geng, Addison J. Wu, Ilia Sucholutsky, Tania Lombrozo, Thomas L. Griffiths; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38489-38517
Aligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models
Yinhong Liu, Zhijiang Guo, Tianya Liang, Ehsan Shareghi, Ivan Vulić, Nigel Collier; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38518-38539
Federated Node-Level Clustering Network with Cross-Subgraph Link Mending
Jingxin Liu, Renda Han, Wenxuan Tu, Haotian Wang, Junlong Wu, Jieren Cheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38540-38556
Elucidating the design space of language models for image generation
Xuantong Liu, Shaozhe Hao, Xianbiao Qi, Tianyang Hu, Jun Wang, Rong Xiao, Yuan Yao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38557-38581
An Improved Clique-Picking Algorithm for Counting Markov Equivalent DAGs via Super Cliques Transfer
Lifu Liu, Shiyuan He, Jianhua Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38582-38597
A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition
Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38598-38622
FlipAttack: Jailbreak LLMs via Flipping
Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng, Yingwei Ma, Jiaheng Zhang, Bryan Hooi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38623-38663
MissScore: High-Order Score Estimation in the Presence of Missing Data
Wenqin Liu, Haoze Hou, Erdun Gao, Biwei Huang, Qiuhong Ke, Howard Bondell, Mingming Gong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38664-38691
CogMath: Assessing LLMs’ Authentic Mathematical Ability from a Human Cognitive Perspective
Jiayu Liu, Zhenya Huang, Wei Dai, Cheng Cheng, Jinze Wu, Jing Sha, Song Li, Qi Liu, Shijin Wang, Enhong Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38692-38707
What Makes In-context Learning Effective for Mathematical Reasoning
Jiayu Liu, Zhenya Huang, Chaokun Wang, Xunpeng Huang, Chengxiang Zhai, Enhong Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38708-38721
Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping
Guangyi Liu, Suzan Iloglu, Michael Caldara, Joseph W Durham, Michael M. Zavlanos; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38722-38743
Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing
Tianci Liu, Ruirui Li, Zihan Dong, Hui Liu, Xianfeng Tang, Qingyu Yin, Linjun Zhang, Haoyu Wang, Jing Gao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38744-38766
HYGMA: Hypergraph Coordination Networks with Dynamic Grouping for Multi-Agent Reinforcement Learning
Chiqiang Liu, Dazi Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38767-38788
POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval
Yaoyang Liu, Junlin Li, Yinjun Wu, Zhen Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38789-38808
Revisiting Chain-of-Thought in Code Generation: Do Language Models Need to Learn Reasoning before Coding?
Ren-Biao Liu, Anqi Li, Chaoding Yang, Hui Sun, Ming Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38809-38826
C2IQL: Constraint-Conditioned Implicit Q-learning for Safe Offline Reinforcement Learning
Zifan Liu, Xinran Li, Jun Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38827-38841
Diving into Self-Evolving Training for Multimodal Reasoning
Wei Liu, Junlong Li, Xiwen Zhang, Fan Zhou, Yu Cheng, Junxian He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38842-38856
am-ELO: A Stable Framework for Arena-based LLM Evaluation
Zirui Liu, Jiatong Li, Yan Zhuang, Qi Liu, Shuanghong Shen, Jie Ouyang, Mingyue Cheng, Shijin Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38857-38868
Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization
Zhangyi Liu, Feng Liu, Rui Gao, Shuang Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38869-38893
Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging
Junkang Liu, Yuanyuan Liu, Fanhua Shang, Hongying Liu, Jin Liu, Wei Feng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38894-38939
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Junnan Li, Silvio Savarese, Caiming Xiong, Doyen Sahoo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38940-38962
Tractable Transformers for Flexible Conditional Generation
Anji Liu, Xuejie Liu, Dayuan Zhao, Mathias Niepert, Yitao Liang, Guy Van Den Broeck; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38963-38986
XAttnMark: Learning Robust Audio Watermarking with Cross-Attention
Yixin Liu, Lie Lu, Jihui Jin, Lichao Sun, Andrea Fanelli; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:38987-39015
AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence
Yuliang Liu, Junjie Lu, Chaofeng Qu, Zhaoling Chen, Zefan Cai, Jason Klein Liu, Chonghan Liu, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39016-39031
Learning Soft Sparse Shapes for Efficient Time-Series Classification
Zhen Liu, Yicheng Luo, Boyuan Li, Emadeldeen Eldele, Min Wu, Qianli Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39032-39059
OmniAudio: Generating Spatial Audio from 360-Degree Video
Huadai Liu, Tianyi Luo, Kaicheng Luo, Qikai Jiang, Peiwen Sun, Jialei Wang, Rongjie Huang, Qian Chen, Wen Wang, Xiangtai Li, Shiliang Zhang, Zhijie Yan, Zhou Zhao, Wei Xue; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39060-39084
Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals
Junyan Liu, Arnab Maiti, Artin Tajdini, Kevin Jamieson, Lillian J. Ratliff; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39085-39105
Understanding the Unfairness in Network Quantization
Bing Liu, Wenjun Miao, Boyu Zhang, Qiankun Zhang, Bin Yuan, Jing Wang, Shenghao Liu, Xianjun Deng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39106-39125
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets
Wei Liu, Zhongyu Niu, Lang Gao, Zhiying Deng, Jun Wang, Haozhao Wang, Ruixuan Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39126-39146
Efficient Robotic Policy Learning via Latent Space Backward Planning
Dongxiu Liu, Haoyi Niu, Zhihao Wang, Jinliang Zheng, Yinan Zheng, Zhonghong Ou, Jianming Hu, Jianxiong Li, Xianyuan Zhan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39147-39161
Nonconvex Theory of $M$-estimators with Decomposable Regularizers
Weiwei Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39162-39170
The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning
Jiashun Liu, Johan Obando-Ceron, Pablo Samuel Castro, Aaron Courville, Ling Pan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39171-39189
Reward Modeling with Ordinal Feedback: Wisdom of the Crowd
Shang Liu, Yu Pan, Guanting Chen, Xiaocheng Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39190-39218
LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning
Zihang Liu, Tianyu Pang, Oleg Balabanov, Chaoqun Yang, Tianjin Huang, Lu Yin, Yaoqing Yang, Shiwei Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39219-39243
Permutation-Free High-Order Interaction Tests
Zhaolu Liu, Robert Peach, Mauricio Barahona; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39244-39260
Deliberation in Latent Space via Differentiable Cache Augmentation
Luyang Liu, Jonas Pfeiffer, Jiaxing Wu, Jun Xie, Arthur Szlam; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39261-39274
Improved Theoretically-Grounded Evolutionary Algorithms for Subset Selection with a Linear Cost Constraint
Dan-Xuan Liu, Chao Qian; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39275-39294
Sundial: A Family of Highly Capable Time Series Foundation Models
Yong Liu, Guo Qin, Zhiyuan Shi, Zhi Chen, Caiyin Yang, Xiangdong Huang, Jianmin Wang, Mingsheng Long; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39295-39317
Principal-Agent Bandit Games with Self-Interested and Exploratory Learning Agents
Junyan Liu, Lillian J. Ratliff; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39318-39365
Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion
Kaijun Liu, Sijie Ruan, Liang Zhang, Cheng Long, Shuliang Wang, Liang Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39366-39380
Accurate Identification of Communication Between Multiple Interacting Neural Populations
Belle Liu, Jacob Sacks, Matthew D. Golub; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39381-39404
PROXSPARSE: REGULARIZED LEARNING OF SEMI-STRUCTURED SPARSITY MASKS FOR PRETRAINED LLMS
Hongyi Liu, Rajarshi Saha, Zhen Jia, Youngsuk Park, Jiaji Huang, Shoham Sabach, Yu-Xiang Wang, George Karypis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39405-39419
Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation
Zhihua Liu, Amrutha Saseendran, Lei Tong, Xilin He, Fariba Yousefi, Nikolay Burlutskiy, Dino Oglic, Tom Diethe, Philip Alexander Teare, Huiyu Zhou, Chen Jin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39420-39454
Scalable First-order Method for Certifying Optimal k-Sparse GLMs
Jiachang Liu, Soroosh Shafiee, Andrea Lodi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39455-39481
Efficient ANN-SNN Conversion with Error Compensation Learning
Chang Liu, Jiangrong Shen, Xuming Ran, Mingkun Xu, Qi Xu, Yi Xu, Gang Pan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39482-39495
Fast Estimation of Partial Dependence Functions using Trees
Jinyang Liu, Tessa Steensgaard, Marvin N. Wright, Niklas Pfister, Munir Hiabu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39496-39534
CoMemo: LVLMs Need Image Context with Image Memory
Shi Liu, Weijie Su, Xizhou Zhu, Wenhai Wang, Jifeng Dai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39535-39551
Self-Supervised Learning of Intertwined Content and Positional Features for Object Detection
Kang-Jun Liu, Masanori Suganuma, Takayuki Okatani; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39552-39567
ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis
Haoxiong Liu, Jiacheng Sun, Zhenguo Li, Andrew C Yao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39568-39586
Slimming the Fat-Tail: Morphing-Flow for Adaptive Time Series Modeling
Tianyu Liu, Kai Sun, Fuchun Sun, Yu Luo, Yuanlong Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39587-39623
AutoStep: Locally adaptive involutive MCMC
Tiange Liu, Nikola Surjanovic, Miguel Biron-Lattes, Alexandre Bouchard-Cote, Trevor Campbell; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39624-39650
Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization
Duo Liu, Zhiquan Tan, Linglan Zhao, Zhongqiang Zhang, Xiangzhong Fang, Weiran Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39651-39668
Censor Dependent Variational Inference
Chuanhui Liu, Xiao Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39669-39693
Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation
Chang Liu, Yixin Wang, Moontae Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39694-39712
Maximizing Intermediate Checkpoint Value in LLM Pretraining with Bayesian Optimization
Deyuan Liu, Zecheng Wang, Bingning Wang, Weipeng Chen, Chunshan Li, Zhiying Tu, Dianhui Chu, Dianbo Sui; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39713-39741
HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport
Yanbei Liu, Chongxu Wang, Zhitao Xiao, Lei Geng, Yanwei Pang, Xiao Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39742-39754
Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models
Liangchen Liu, Nannan Wang, Xi Yang, Xinbo Gao, Tongliang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39755-39773
Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification
Shikang Liu, Chuyang Wei, Xiren Zhou, Huanhuan Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39774-39788
FreeMesh: Boosting Mesh Generation with Coordinates Merging
Jian Liu, Haohan Weng, Biwen Lei, Xianghui Yang, Zibo Zhao, Zhuo Chen, Song Guo, Tao Han, Chunchao Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39789-39802
Mutual Learning for SAM Adaptation: A Dual Collaborative Network Framework for Source-Free Domain Transfer
Yabo Liu, Waikeung Wong, Chengliang Liu, Xiaoling Luo, Yong Xu, Jinghua Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39803-39814
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting
Peiyuan Liu, Beiliang Wu, Yifan Hu, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39815-39840
An Expressive and Self-Adaptive Dynamical System for Efficient Function Learning
Chuan Liu, Chunshu Wu, Ruibing Song, Ang Li, Ying Nian Wu, Tong Geng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39841-39852
Pixel2Feature Attack (P2FA): Rethinking the Perturbed Space to Enhance Adversarial Transferability
Renpu Liu, Hao Wu, Jiawei Zhang, Xin Cheng, Xiangyang Luo, Bin Ma, Jinwei Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39853-39870
Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set
Xinyu Liu, Zixuan Xie, Shangtong Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39871-39897
TinyMIG: Transferring Generalization from Vision Foundation Models to Single-Domain Medical Imaging
Chuang Liu, Hongyan Xu, Yichao Cao, Xiu Su, Zhe Qu, Tianfa Li, Shan An, Haogang Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39898-39914
Progressively Label Enhancement for Large Language Model Alignment
Biao Liu, Ning Xu, Xin Geng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39915-39928
TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting
Qinglong Liu, Cong Xu, Wenhao Jiang, Kaixuan Wang, Lin Ma, Haifeng Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39929-39946
Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models
Peijie Liu, Fengli Xu, Yong Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39947-39967
La RoSA: Enhancing LLM Efficiency via Layerwise Rotated Sparse Activation
Kai Liu, Bowen Xu, Shaoyu Wu, Xin Chen, Hao Zhou, Yongliang Tao, Lulu Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39968-39986
BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution
Kai Liu, Kaicheng Yang, Zheng Chen, Zhiteng Li, Yong Guo, Wenbo Li, Linghe Kong, Yulun Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39987-39996
Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example
Yuhan Helena Liu, Guangyu Robert Yang, Christopher J Cueva; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:39997-40021
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik Hamann, Jingrui He, Hanghang Tong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40022-40042
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
Siyang Liu, Han-Jia Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40043-40068
SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation
Jiayue Liu, Zhongchao Yi, Zhengyang Zhou, Qihe Huang, Kuo Yang, Xu Wang, Yang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40069-40084
Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery
Ning Liu, Yue Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40085-40099
Efficient Federated Incomplete Multi-View Clustering
Suyuan Liu, Hao Yu, Hao Tan, Ke Liang, Siwei Wang, Shengju Yu, En Zhu, Xinwang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40100-40114
NeuralCohort: Cohort-aware Neural Representation Learning for Healthcare Analytics
Changshuo Liu, Lingze Zeng, Kaiping Zheng, Shaofeng Cai, Beng Chin Ooi, James Wei Luen Yip; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40115-40133
BaWA: Automatic Optimizing Pruning Metric for Large Language Models with Balanced Weight and Activation
Lian Liu, Xiandong Zhao, Guanchen Li, Dong Li, Mengdi Wang, Yinhe Han, Xiaowei Li, Ying Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40134-40151
Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization
Zijian Liu, Zhengyuan Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40152-40193
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40194-40213
Token Coordinated Prompt Attention is Needed for Visual Prompting
Zichen Liu, Xu Zou, Gang Hua, Jiahuan Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40214-40226
Hessian Geometry of Latent Space in Generative Models
Alexander Lobashev, Dmitry Guskov, Maria Larchenko, Mikhail Tamm; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40227-40252
BDC-CLIP: Brownian Distance Covariance for Adapting CLIP to Action Recognition
Fei Long, Xiaoou Li, Jiaming Lv, Haoyuan Yang, Xianjun Cheng, Peihua Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40253-40269
Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation
Da Long, Zhitong Xu, Guang Yang, Akil Narayan, Shandian Zhe; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40270-40289
Contour Integration Underlies Human-Like Vision
Ben Lonnqvist, Elsa Scialom, Abdulkadir Gokce, Zehra Merchant, Michael Herzog, Martin Schrimpf; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40290-40311
Fast Min-$ε$ Segmented Regression using Constant-Time Segment Merging
Ansgar Lößer, Max Schlecht, Florian Schintke, Joel Witzke, Matthias Weidlich, Björn Scheuermann; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40312-40327
STD-FD: Spatio-Temporal Distribution Fitting Deviation for AIGC Forgery Identification
Hengrui Lou, Zunlei Feng, Jinsong Geng, Erteng Liu, Jie Lei, Lechao Cheng, Jie Song, Mingli Song, Yijun Bei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40328-40343
SAE-V: Interpreting Multimodal Models for Enhanced Alignment
Hantao Lou, Changye Li, Jiaming Ji, Yaodong Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40344-40360
AAAR-1.0: Assessing AI’s Potential to Assist Research
Renze Lou, Hanzi Xu, Sijia Wang, Jiangshu Du, Ryo Kamoi, Xiaoxin Lu, Jian Xie, Yuxuan Sun, Yusen Zhang, Jihyun Janice Ahn, Hongchao Fang, Zhuoyang Zou, Wenchao Ma, Xi Li, Kai Zhang, Congying Xia, Lifu Huang, Wenpeng Yin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40361-40383
A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method
Zhengzheng Lou, Hang Xue, Chaoyang Zhang, Shizhe Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40384-40399
Super Deep Contrastive Information Bottleneck for Multi-modal Clustering
Zhengzheng Lou, Ke Zhang, Yucong Wu, Shizhe Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40400-40410
Navigating Conflicting Views: Harnessing Trust for Learning
Jueqing Lu, Wray Buntine, Yuanyuan Qi, Joanna Dipnall, Belinda Gabbe, Lan Du; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40411-40435
Aligning Protein Conformation Ensemble Generation with Physical Feedback
Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Aurelie Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40436-40451
Complex Wavelet Mutual Information Loss: A Multi-Scale Loss Function for Semantic Segmentation
Renhao Lu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40452-40463
WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting
Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40464-40490
Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling
Shuqi Lu, Xiaohong Ji, Bohang Zhang, Lin Yao, Siyuan Liu, Zhifeng Gao, Linfeng Zhang, Guolin Ke; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40491-40504
Towards Practical Defect-Focused Automated Code Review
Junyi Lu, Lili Jiang, Xiaojia Li, Jianbing Fang, Fengjun Zhang, Li Yang, Chun Zuo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40505-40536
Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets
Ning Lu, Shengcai Liu, Jiahao Wu, Weiyu Chen, Zhirui Zhang, Yew-Soon Ong, Qi Wang, Ke Tang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40537-40559
System-Aware Unlearning Algorithms: Use Lesser, Forget Faster
Linda Lu, Ayush Sekhari, Karthik Sridharan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40560-40592
Habitizing Diffusion Planning for Efficient and Effective Decision Making
Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40593-40613
Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization
Chenbei Lu, Laixi Shi, Zaiwei Chen, Chenye Wu, Adam Wierman; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40614-40664
TSP: A Two-Sided Smoothed Primal-Dual Method for Nonconvex Bilevel Optimization
Songtao Lu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40665-40708
Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences
Yunhong Lu, Qichao Wang, Hengyuan Cao, Xiaoyin Xu, Min Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40709-40725
DAMA: Data- and Model-aware Alignment of Multi-modal LLMs
Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40726-40740
Stochastic Forward–Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets
Haoye Lu, Qifan Wu, Yaoliang Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40741-40768
OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling
Hongliang Lu, Zhonglin Xie, Yaoyu Wu, Can Ren, Yuxuan Chen, Zaiwen Wen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40769-40802
Agent Reviewers: Domain-specific Multimodal Agents with Shared Memory for Paper Review
Kai Lu, Shixiong Xu, Jinqiu Li, Kun Ding, Gaofeng Meng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40803-40830
Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision
Anqi Lu, Junchi Yan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40831-40847
Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting
Jiecheng Lu, Shihao Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40848-40867
LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification
Yiding Lu, Mouxing Yang, Dezhong Peng, Peng Hu, Yijie Lin, Xi Peng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40868-40887
Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective
Aojun Lu, Hangjie Yuan, Tao Feng, Yanan Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40888-40902
FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates
Xinyi Lu, Hao Zhang, Chenglin Li, Weijia Lu, Zhifei Yang, Wenrui Dai, Xiaodong Zhang, Xiaofeng Ma, Can Zhang, Junni Zou, Hongkai Xiong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40903-40929
ToMA: Token Merge with Attention for Diffusion Models
Wenbo Lu, Shaoyi Zheng, Yuxuan Xia, Shengjie Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40930-40951
Sparse Autoencoders, Again?
Yin Lu, Xuening Zhu, Tong He, David Wipf; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40952-40976
Constrained Exploitability Descent: An Offline Reinforcement Learning Method for Finding Mixed-Strategy Nash Equilibrium
Runyu Lu, Yuanheng Zhu, Dongbin Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40977-40994
Learning with Expected Signatures: Theory and Applications
Lorenzo Lucchese, Mikko S. Pakkanen, Almut E. D. Veraart; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:40995-41055
Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient
Jan Ludziejewski, Maciej Pióro, Jakub Krajewski, Maciej Stefaniak, Michał Krutul, Jan Małaśnicki, Marek Cygan, Piotr Sankowski, Kamil Adamczewski, Piotr Miłoś, Sebastian Jaszczur; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41056-41073
Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation
Michal Lukasik, Lin Chen, Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Felix X. Yu, Sashank J. Reddi, Gang Fu, Mohammadhossein Bateni, Sanjiv Kumar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41074-41102
Stacey: Promoting Stochastic Steepest Descent via Accelerated $\ell_p$-Smooth Nonconvex Optimization
Xinyu Luo, Site Bai, Bolian Li, Petros Drineas, Ruqi Zhang, Brian Bullins; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41103-41119
Probing Visual Language Priors in VLMs
Tiange Luo, Ang Cao, Gunhee Lee, Justin Johnson, Honglak Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41120-41156
Vision-Language Models Create Cross-Modal Task Representations
Grace Luo, Trevor Darrell, Amir Bar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41157-41176
KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search
Haoran Luo, Haihong E, Yikai Guo, Qika Lin, Xiaobao Wu, Xinyu Mu, Wenhao Liu, Meina Song, Yifan Zhu, Anh Tuan Luu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41177-41199
Quantum Algorithms for Finite-horizon Markov Decision Processes
Bin Luo, Yuwen Huang, Jonathan Allcock, Xiaojun Lin, Shengyu Zhang, John C.S. Lui; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41200-41234
Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference
Shuqing Luo, Pingzhi Li, Jie Peng, Yang Zhao, Yu Cao, Yu Cheng, Tianlong Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41235-41253
Fast and Low-Cost Genomic Foundation Models via Outlier Removal
Haozheng Luo, Chenghao Qiu, Maojiang Su, Zhihan Zhou, Zoe Mehta, Guo Ye, Jerry Yao-Chieh Hu, Han Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41254-41289
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Yuankai Luo, Lei Shi, Xiao-Ming Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41290-41310
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity
Yuqi Luo, Chenyang Song, Xu Han, Yingfa Chen, Chaojun Xiao, Xiaojun Meng, Liqun Deng, Jiansheng Wei, Zhiyuan Liu, Maosong Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41311-41330
Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation
Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41331-41345
Beyond One-Hot Labels: Semantic Mixing for Model Calibration
Haoyang Luo, Linwei Tao, Minjing Dong, Chang Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41346-41367
Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity
Erpai Luo, Xinran Wei, Lin Huang, Yunyang Li, Han Yang, Zaishuo Xia, Zun Wang, Chang Liu, Bin Shao, Jia Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41368-41390
One-dimensional Path Convolution
Xuanshu Luo, Martin Werner; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41391-41406
Locality Preserving Markovian Transition for Instance Retrieval
Jifei Luo, Wenzheng Wu, Hantao Yao, Lu Yu, Changsheng Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41407-41431
Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
Huakun Luo, Haixu Wu, Hang Zhou, Lanxiang Xing, Yichen Di, Jianmin Wang, Mingsheng Long; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41432-41449
Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL
Qin-Wen Luo, Ming-Kun Xie, Ye-Wen Wang, Sheng-Jun Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41450-41467
Causal Attribution Analysis for Continuous Outcomes
Shanshan Luo, Yu Yixuan, Chunchen Liu, Feng Xie, Zhi Geng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41468-41493
Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series
Yicheng Luo, Bowen Zhang, Zhen Liu, Qianli Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41494-41519
David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training
Weijian Luo, Colin Zhang, Debing Zhang, Zhengyang Geng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41520-41539
Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models
Linhao Luo, Zicheng Zhao, Gholamreza Haffari, Yuan-Fang Li, Chen Gong, Shirui Pan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41540-41565
MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training
Yang Luo, Zangwei Zheng, Ziheng Qin, Zirui Zhu, Yong Liu, Yang You; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41566-41585
Conformity Score Averaging for Classification
Rui Luo, Zhixin Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41586-41603
LADA: Scalable Label-Specific CLIP Adapter for Continual Learning
Mao-Lin Luo, Zi-Hao Zhou, Tong Wei, Min-Ling Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41604-41619
Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models
Tung Minh Luu, Younghwan Lee, Donghoon Lee, Sunho Kim, Min Jun Kim, Chang D. Yoo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41620-41647
Runtime Analysis of Evolutionary NAS for Multiclass Classification
Zeqiong Lv, Chao Qian, Yun Liu, Jiahao Fan, Yanan Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41648-41666
Autonomy-of-Experts Models
Ang Lv, Ruobing Xie, Yining Qian, Songhao Wu, Xingwu Sun, Zhanhui Kang, Di Wang, Rui Yan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41667-41681
Dendritic Localized Learning: Toward Biologically Plausible Algorithm
Changze Lv, Jingwen Xu, Yiyang Lu, Xiaohua Wang, Zhenghua Wang, Zhibo Xu, Di Yu, Xin Du, Xiaoqing Zheng, Xuanjing Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41682-41700
Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation
Bohan Lyu, Yadi Cao, Duncan Watson-Parris, Leon Bergen, Taylor Berg-Kirkpatrick, Rose Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41701-41737
Consensus Based Stochastic Optimal Control
Liyao Lyu, Jingrun Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41738-41771
RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning
Yuanhuiyi Lyu, Xu Zheng, Lutao Jiang, Yibo Yan, Xin Zou, Huiyu Zhou, Linfeng Zhang, Xuming Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41772-41790
Playmate: Flexible Control of Portrait Animation via 3D-Implicit Space Guided Diffusion
Xingpei Ma, Jiaran Cai, Yuansheng Guan, Shenneng Huang, Qiang Zhang, Shunsi Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41791-41806
Meta-Black-Box-Optimization through Offline Q-function Learning
Zeyuan Ma, Zhiguang Cao, Zhou Jiang, Hongshu Guo, Yue-Jiao Gong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41807-41826
Improving Multimodal Learning Balance and Sufficiency through Data Remixing
Xiaoyu Ma, Hao Chen, Yongjian Deng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41827-41836
Efficient Online Reinforcement Learning for Diffusion Policy
Haitong Ma, Tianyi Chen, Kai Wang, Na Li, Bo Dai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41837-41853
Pruning for GNNs: Lower Complexity with Comparable Expressiveness
Dun Ma, Jianguo Chen, Wenguo Yang, Suixiang Gao, Shengminjie Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41854-41889
Overcoming Non-monotonicity in Transducer-based Streaming Generation
Zhengrui Ma, Yang Feng, Min Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41890-41906
SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training
Chao Ma, Wenbo Gong, Meyer Scetbon, Edward Meeds; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41907-41942
Adversarial Robustness via Deformable Convolution with Stochasticity
Yanxiang Ma, Zixuan Huang, Minjing Dong, Shan You, Chang Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41943-41958
HetSSNet: Spatial-Spectral Heterogeneous Graph Learning Network for Panchromatic and Multispectral Images Fusion
Mengting Ma, Yizhen Jiang, Mengjiao Zhao, Jiaxin Li, Wei Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41959-41974
Catching Two Birds with One Stone: Reward Shaping with Dual Random Networks for Balancing Exploration and Exploitation
Haozhe Ma, Fangling Li, Jing Yu Lim, Zhengding Luo, Thanh Vinh Vo, Tze-Yun Leong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41975-41991
"Why Is There a Tumor?": Tell Me the Reason, Show Me the Evidence
Mengmeng Ma, Tang Li, Yunxiang Peng, Lu Lin, Volkan Beylergil, Binsheng Zhao, Oguz Akin, Xi Peng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:41992-42008
Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning
Guozheng Ma, Lu Li, Zilin Wang, Li Shen, Pierre-Luc Bacon, Dacheng Tao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42009-42029
PTTA: Purifying Malicious Samples for Test-Time Model Adaptation
Jing Ma, Hanlin Li, Xiang Xiang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42030-42061
TANGO: Clustering with Typicality-Aware Nonlocal Mode-Seeking and Graph-Cut Optimization
Haowen Ma, Zhiguo Long, Hua Meng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42062-42080
Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning
Lianbo Ma, Jianlun Ma, Yuee Zhou, Guoyang Xie, Qiang He, Zhichao Lu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42081-42095
TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state
Xiaowen Ma, Zhen-Liang Ni, Shuai Xiao, Xinghao Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42096-42111
PANDAS: Improving Many-shot Jailbreaking via Positive Affirmation, Negative Demonstration, and Adaptive Sampling
Avery Ma, Yangchen Pan, Amir-Massoud Farahmand; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42112-42129
COExpander: Adaptive Solution Expansion for Combinatorial Optimization
Jiale Ma, Wenzheng Pan, Yang Li, Junchi Yan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42130-42164
Robust Spatio-Temporal Centralized Interaction for OOD Learning
Jiaming Ma, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Xu Wang, Yang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42165-42192
A Closer Look at Generalized BH Algorithm for Out-of-Distribution Detection
Xinsong Ma, Jie Wu, Weiwei Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42193-42208
Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective
Qingchuan Ma, Yuhang Wu, Xiawu Zheng, Rongrong Ji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42209-42235
Efficient Multi-modal Long Context Learning for Training-free Adaptation
Zehong Ma, Shiliang Zhang, Longhui Wei, Qi Tian; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42236-42251
Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models
Zhongtian Ma, Qiaosheng Zhang, Bocheng Zhou, Yexin Zhang, Shuyue Hu, Zhen Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42252-42292
Behavior-agnostic Task Inference for Robust Offline In-context Reinforcement Learning
Long Ma, Fangwei Zhong, Yizhou Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42293-42308
An Online Statistical Framework for Out-of-Distribution Detection
Xinsong Ma, Xin Zou, Weiwei Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42309-42324
Compositional Causal Reasoning Evaluation in Language Models
Jacqueline R. M. A. Maasch, Alihan Hüyük, Xinnuo Xu, Aditya V. Nori, Javier Gonzalez; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42325-42365
Inverse problems with experiment-guided AlphaFold
Sai Advaith Maddipatla, Nadav Bojan, Meital Bojan, Sanketh Vedula, Paul Schanda, Ailie Marx, Alexander Bronstein; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42366-42393
AKORN: Adaptive Knots generated Online for RegressioN splines
Sunil Madhow, Dheeraj Baby, Yu-Xiang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42394-42420
Linearization Turns Neural Operators into Function-Valued Gaussian Processes
Emilia Magnani, Marvin Pförtner, Tobias Weber, Philipp Hennig; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42421-42452
Learning to Stop: Deep Learning for Mean Field Optimal Stopping
Lorenzo Magnino, Yuchen Zhu, Mathieu Lauriere; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42453-42486
DataDecide: How to Predict Best Pretraining Data with Small Experiments
Ian Magnusson, Nguyen Tai, Ben Bogin, David Heineman, Jena D. Hwang, Luca Soldaini, Akshita Bhagia, Jiacheng Liu, Dirk Groeneveld, Oyvind Tafjord, Noah A. Smith, Pang Wei Koh, Jesse Dodge; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42487-42502
Compositional Risk Minimization
Divyat Mahajan, Mohammad Pezeshki, Charles Arnal, Ioannis Mitliagkas, Kartik Ahuja, Pascal Vincent; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42503-42553
Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation
Sadegh Mahdavi, Muchen Li, Kaiwen Liu, Christos Thrampoulidis, Leonid Sigal, Renjie Liao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42554-42578
Sable: a Performant, Efficient and Scalable Sequence Model for MARL
Omayma Mahjoub, Sasha Abramowitz, Ruan John De Kock, Wiem Khlifi, Simon Verster Du Toit, Jemma Daniel, Louay Ben Nessir, Louise Beyers, Juan Claude Formanek, Liam Clark, Arnu Pretorius; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42579-42614
Auditing $f$-differential privacy in one run
Saeed Mahloujifar, Luca Melis, Kamalika Chaudhuri; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42615-42641
SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding
Peihua Mai, Youlong Ding, Ziyan Lyu, Minxin Du, Yan Pang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42642-42667
LETS Forecast: Learning Embedology for Time Series Forecasting
Abrar Majeedi, Viswanatha Reddy Gajjala, Satya Sai Srinath Namburi Gnvv, Nada Magdi Elkordi, Yin Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42668-42690
Regret-Free Reinforcement Learning for Temporal Logic Specifications
R Majumdar, Mahmoud Salamati, Sadegh Soudjani; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42691-42711
Residual Matrix Transformers: Scaling the Size of the Residual Stream
Brian Mak, Jeffrey Flanigan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42712-42729
Hypothesis Testing for Generalized Thurstone Models
Anuran Makur, Japneet Singh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42730-42764
Craftium: Bridging Flexibility and Efficiency for Rich 3D Single- and Multi-Agent Environments
Mikel Malagón, Josu Ceberio, Jose A. Lozano; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42765-42794
Reasoning Limitations of Multimodal Large Language Models. A case study of Bongard Problems
Mikołaj Małkiński, Szymon Pawlonka, Jacek Mańdziuk; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42795-42833
Emergence in non-neural models: grokking modular arithmetic via average gradient outer product
Neil Rohit Mallinar, Daniel Beaglehole, Libin Zhu, Adityanarayanan Radhakrishnan, Parthe Pandit, Mikhail Belkin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42834-42856
Potemkin Understanding in Large Language Models
Marina Mancoridis, Bec Weeks, Keyon Vafa, Sendhil Mullainathan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42857-42881
Learning Latent Graph Structures and their Uncertainty
Alessandro Manenti, Daniele Zambon, Cesare Alippi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42882-42901
Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up
Paul Mangold, Alain Oliviero Durmus, Aymeric Dieuleveut, Eric Moulines; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42902-42946
Efficient Diffusion Models for Symmetric Manifolds
Oren Mangoubi, Neil He, Nisheeth K. Vishnoi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42947-42983
CTBench: A Library and Benchmark for Certified Training
Yuhao Mao, Stefan Balauca, Martin Vechev; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:42984-43010
Hypo3D: Exploring Hypothetical Reasoning in 3D
Ye Mao, Weixun Luo, Junpeng Jing, Anlan Qiu, Krystian Mikolajczyk; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43011-43034
Mastering Multiple-Expert Routing: Realizable $H$-Consistency and Strong Guarantees for Learning to Defer
Anqi Mao, Mehryar Mohri, Yutao Zhong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43035-43066
Principled Algorithms for Optimizing Generalized Metrics in Binary Classification
Anqi Mao, Mehryar Mohri, Yutao Zhong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43067-43088
ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning
Arto Maranjyan, El Mehdi Saad, Peter Richtárik, Francesco Orabona; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43089-43119
Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity
Arto Maranjyan, Alexander Tyurin, Peter Richtárik; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43120-43139
Transformative or Conservative? Conservation laws for ResNets and Transformers
Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43140-43176
No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces
Daniel Marczak, Simone Magistri, Sebastian Cygert, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost Van De Weijer; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43177-43199
Provable Length Generalization in Sequence Prediction via Spectral Filtering
Annie Marsden, Evan Dogariu, Naman Agarwal, Xinyi Chen, Daniel Suo, Elad Hazan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43200-43224
Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks
Thomas Massena, Léo Andéol, Thibaut Boissin, Franck Mamalet, Corentin Friedrich, Mathieu Serrurier, Sébastien Gerchinovitz; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43225-43247
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
Luca Masserano, Abdul Fatir Ansari, Boran Han, Xiyuan Zhang, Christos Faloutsos, Michael W. Mahoney, Andrew Gordon Wilson, Youngsuk Park, Syama Sundar Rangapuram, Danielle C. Maddix, Bernie Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43248-43275
AuPair: Golden Example Pairs for Code Repair
Aditi Mavalankar, Hassan Mansoor, Zita Marinho, Mariia Samsikova, Tom Schaul; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43276-43301
LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws
Prasanna Mayilvahanan, Thaddäus Wiedemer, Sayak Mallick, Matthias Bethge, Wieland Brendel; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43302-43330
The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks
Walter Mayor, Johan Obando-Ceron, Aaron Courville, Pablo Samuel Castro; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43331-43352
Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements
Arya Mazumdar, Neha Sangwan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43353-43374
Scaling Laws for Differentially Private Language Models
Ryan Mckenna, Yangsibo Huang, Amer Sinha, Borja Balle, Zachary Charles, Christopher A. Choquette-Choo, Badih Ghazi, Georgios Kaissis, Ravi Kumar, Ruibo Liu, Da Yu, Chiyuan Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43375-43398
Anytime-Constrained Equilibria in Polynomial Time
Jeremy Mcmahan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43399-43416
Polynomial-Time Approximability of Constrained Reinforcement Learning
Jeremy Mcmahan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43417-43439
Leveraging Predictive Equivalence in Decision Trees
Hayden Mctavish, Zachery Boner, Jon Donnelly, Margo Seltzer, Cynthia Rudin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43440-43475
LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D
Paul Mcvay, Sergio Arnaud, Ada Martin, Arjun Majumdar, Krishna Murthy Jatavallabhula, Phillip Thomas, Ruslan Partsey, Daniel Dugas, Abha Gejji, Alexander Sax, Vincent-Pierre Berges, Mikael Henaff, Ayush Jain, Ang Cao, Ishita Prasad, Mrinal Kalakrishnan, Michael Rabbat, Nicolas Ballas, Mido Assran, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43476-43502
Return Capping: Sample Efficient CVaR Policy Gradient Optimisation
Harry Mead, Clarissa Costen, Bruno Lacerda, Nick Hawes; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43503-43518
Weak-to-Strong Generalization Even in Random Feature Networks, Provably
Marko Medvedev, Kaifeng Lyu, Dingli Yu, Sanjeev Arora, Zhiyuan Li, Nathan Srebro; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43519-43556
The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text
Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Beguelin, Shruti Tople, Reza Shokri; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43557-43580
Automatic Differentiation of Optimization Algorithms with Time-Varying Updates
Sheheryar Mehmood, Peter Ochs; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43581-43602
A Generalization Theory for Zero-Shot Prediction
Ronak Mehta, Zaid Harchaoui; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43603-43660
Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees
Tomer Meir, Uri Shalit, Malka Gorfine; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43661-43693
MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs
Tommaso Mencattini, Robert Adrian Minut, Donato Crisostomi, Andrea Santilli, Emanuele Rodolà; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43694-43715
Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games
Linjian Meng, Wubing Chen, Wenbin Li, Tianpei Yang, Youzhi Zhang, Yang Gao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43716-43753
TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching
Yue Meng, Chuchu Fan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43754-43780
Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation
Fanqing Meng, Jiaqi Liao, Xinyu Tan, Quanfeng Lu, Wenqi Shao, Kaipeng Zhang, Yu Cheng, Dianqi Li, Ping Luo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43781-43806
CLOVER: Cross-Layer Orthogonal Vectors Pruning
Fanxu Meng, Pingzhi Tang, Fan Jiang, Muhan Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43807-43825
LAuReL: Learned Augmented Residual Layer
Gaurav Menghani, Ravi Kumar, Sanjiv Kumar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43826-43836
Diffusion on Language Model Encodings for Protein Sequence Generation
Viacheslav Meshchaninov, Pavel Strashnov, Andrey Shevtsov, Fedor Nikolaev, Nikita Ivanisenko, Olga Kardymon, Dmitry Vetrov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43837-43878
Discovering a Zero (Zero-Vector Class of Machine Learning)
Harikrishna Metta, Venkatesh Babu Radhakrishnan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43879-43908
Understanding the Kronecker Matrix-Vector Complexity of Linear Algebra
Raphael A Meyer, William Joseph Swartworth, David Woodruff; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43909-43933
Benchmarking Quantum Reinforcement Learning
Nico Meyer, Christian Ufrecht, George Yammine, Georgios Kontes, Christopher Mutschler, Daniel Scherer; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43934-43964
A Bregman Proximal Viewpoint on Neural Operators
Abdel-Rahim Mezidi, Jordan Patracone, Saverio Salzo, Amaury Habrard, Massimiliano Pontil, Rémi Emonet, Marc Sebban; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43965-43989
On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning
Naram Mhaisen, George Iosifidis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:43990-44016
I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models
Zhenxing Mi, Kuan-Chieh Wang, Guocheng Qian, Hanrong Ye, Runtao Liu, Sergey Tulyakov, Kfir Aberman, Dan Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44017-44036
Rethinking Score Distilling Sampling for 3D Editing and Generation
Xingyu Miao, Haoran Duan, Yang Long, Jungong Han; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44037-44053
Boosting Virtual Agent Learning and Reasoning: A Step-Wise, Multi-Dimensional, and Generalist Reward Model with Benchmark
Bingchen Miao, Yang Wu, Minghe Gao, Qifan Yu, Wendong Bu, Wenqiao Zhang, Yunfei Li, Siliang Tang, Tat-Seng Chua, Juncheng Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44054-44075
The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking
Yuchun Miao, Sen Zhang, Liang Ding, Yuqi Zhang, Lefei Zhang, Dacheng Tao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44076-44105
Computing Voting Rules with Improvement Feedback
Evi Micha, Vasilis Varsamis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44106-44133
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework
Terje Mildner, Oliver Hamelijnck, Paris Giampouras, Theodoros Damoulas; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44134-44174
Compelling ReLU Networks to Exhibit Exponentially Many Linear Regions at Initialization and During Training
Max Milkert, David Hyde, Forrest John Laine; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44175-44198
Embedding Safety into RL: A New Take on Trust Region Methods
Nikola Milosevic, Johannes Müller, Nico Scherf; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44199-44224
Function-Space Learning Rates
Edward Milsom, Ben Anson, Laurence Aitchison; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44225-44251
Improving Your Model Ranking on Chatbot Arena by Vote Rigging
Rui Min, Tianyu Pang, Chao Du, Qian Liu, Minhao Cheng, Min Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44252-44271
CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization
Nay Myat Min, Long H. Pham, Yige Li, Jun Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44272-44291
Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs
Hancheng Min, Rene Vidal; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44292-44350
Deep Neural Cellular Potts Models
Koen Minartz, Tim D’Hondt, Leon Hillmann, Jörn Starruß, Lutz Brusch, Vlado Menkovski; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44351-44371
Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence
Gouki Minegishi, Hiroki Furuta, Shohei Taniguchi, Yusuke Iwasawa, Yutaka Matsuo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44372-44395
Measuring Diversity: Axioms and Challenges
Mikhail Mironov, Liudmila Prokhorenkova; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44396-44411
SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?
Samuel Miserendino, Michele Wang, Tejal Patwardhan, Johannes Heidecke; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44412-44450
SING: Spatial Context in Large Language Model for Next-Gen Wearables
Ayushi Mishra, Yang Bai, Priyadarshan Narayanasamy, Nakul Garg, Nirupam Roy; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44451-44469
Equivariant Neural Tangent Kernels
Philipp Misof, Pan Kessel, Jan E Gerken; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44470-44503
Does learning the right latent variables necessarily improve in-context learning?
Sarthak Mittal, Eric Elmoznino, Leo Gagnon, Sangnie Bhardwaj, Guillaume Lajoie, Dhanya Sridhar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44504-44530
GMAIL: Generative Modality Alignment for generated Image Learning
Shentong Mo, Sukmin Yun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44531-44553
NoLiMa: Long-Context Evaluation Beyond Literal Matching
Ali Modarressi, Hanieh Deilamsalehy, Franck Dernoncourt, Trung Bui, Ryan A. Rossi, Seunghyun Yoon, Hinrich Schuetze; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44554-44570
Beyond CVaR: Leveraging Static Spectral Risk Measures for Enhanced Decision-Making in Distributional Reinforcement Learning
Mehrdad Moghimi, Hyejin Ku; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44571-44593
Symmetry-Driven Discovery of Dynamical Variables in Molecular Simulations
Jeet Mohapatra, Nima Dehmamy, Csaba Both, Subhro Das, Tommi Jaakkola; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44594-44614
Adversarial Inputs for Linear Algebra Backends
Jonas Möller, Lukas Pirch, Felix Weissberg, Sebastian Baunsgaard, Thorsten Eisenhofer, Konrad Rieck; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44615-44626
A Variational Information Theoretic Approach to Out-of-Distribution Detection
Sudeepta Mondal, Zhuolin Jiang, Ganesh Sundaramoorthi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44627-44651
Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity
Alessandro Montenegro, Marco Mussi, Matteo Papini, Alberto Maria Metelli; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44652-44698
Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees
Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44699-44725
A Two-Stage Learning-to-Defer Approach for Multi-Task Learning
Yannis Montreuil, Yeo Shu Heng, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44726-44749
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
Rudy Morel, Jiequn Han, Edouard Oyallon; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44750-44774
Online Episodic Convex Reinforcement Learning
Bianca Marin Moreno, Khaled Eldowa, Pierre Gaillard, Margaux Brégère, Nadia Oudjane; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44775-44824
The Price of Linear Time: Error Analysis of Structured Kernel Interpolation
Alexander Moreno, Justin Xiao, Jonathan Mei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44825-44853
Dimensionality Reduction on Complex Vector Spaces for Euclidean Distance with Dynamic Weights
Simone Moretti, Paolo Pellizzoni, Francesco Silvestri; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44854-44873
Causal-PIK: Causality-based Physical Reasoning with a Physics-Informed Kernel
Carlota Parés Morlans, Michelle Yi, Claire Chen, Sarah A Wu, Rika Antonova, Tobias Gerstenberg, Jeannette Bohg; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44874-44886
Revisiting Non-Acyclic GFlowNets in Discrete Environments
Nikita Morozov, Ian Maksimov, Daniil Tiapkin, Sergey Samsonov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44887-44910
SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels
Malte Mosbach, Jan Niklas Ewertz, Angel Villar-Corrales, Sven Behnke; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44911-44935
Geometric Hyena Networks for Large-scale Equivariant Learning
Artem Moskalev, Mangal Prakash, Junjie Xu, Tianyu Cui, Rui Liao, Tommaso Mansi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44936-44955
Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces
Henry Moss, Sebastian W. Ober, Tom Diethe; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44956-44970
GRADEO: Towards Human-Like Evaluation for Text-to-Video Generation via Multi-Step Reasoning
Zhun Mou, Bin Xia, Zhengchao Huang, Wenming Yang, Jiaya Jia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44971-44996
Sparse Autoencoders for Hypothesis Generation
Rajiv Movva, Kenny Peng, Nikhil Garg, Jon Kleinberg, Emma Pierson; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:44997-45023
SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression
Mohammad Mozaffari, Amir Yazdanbakhsh, Maryam Mehri Dehnavi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45024-45049
CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries
Ni Mu, Hao Hu, Xiao Hu, Yiqin Yang, Bo Xu, Qing-Shan Jia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45050-45068
MIB: A Mechanistic Interpretability Benchmark
Aaron Mueller, Atticus Geiger, Sarah Wiegreffe, Dana Arad, Iván Arcuschin, Adam Belfki, Yik Siu Chan, Jaden Fried Fiotto-Kaufman, Tal Haklay, Michael Hanna, Jing Huang, Rohan Gupta, Yaniv Nikankin, Hadas Orgad, Nikhil Prakash, Anja Reusch, Aruna Sankaranarayanan, Shun Shao, Alessandro Stolfo, Martin Tutek, Amir Zur, David Bau, Yonatan Belinkov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45069-45108
Premise-Augmented Reasoning Chains Improve Error Identification in Math reasoning with LLMs
Sagnik Mukherjee, Abhinav Chinta, Takyoung Kim, Tarun Anoop Sharma, Dilek Hakkani Tur; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45109-45128
Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss
Abhijeet Mulgund, Chirag Pabbaraju; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45129-45150
Mahalanobis++: Improving OOD Detection via Feature Normalization
Maximilian Müller, Matthias Hein; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45151-45184
Best of Both Worlds: Regret Minimization versus Minimax Play
Adrian Müller, Jon Schneider, Stratis Skoulakis, Luca Viano, Volkan Cevher; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45185-45211
LineFlow: A Framework to Learn Active Control of Production Lines
Kai Müller, Martin Wenzel, Tobias Windisch; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45212-45235
Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?
Konrad Mundinger, Max Zimmer, Aldo Kiem, Christoph Spiegel, Sebastian Pokutta; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45236-45255
A Bayesian Model Selection Criterion for Selecting Pretraining Checkpoints
Michael Munn, Susan Wei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45256-45271
Fast Exact Unlearning for In-Context Learning Data for LLMs
Andrei Ioan Muresanu, Anvith Thudi, Michael R. Zhang, Nicolas Papernot; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45272-45288
You Get What You Give: Reciprocally Fair Federated Learning
Aniket Murhekar, Jiaxin Song, Parnian Shahkar, Bhaskar Ray Chaudhury, Ruta Mehta; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45289-45310
LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces
Rashid Mushkani, Shravan Nayak, Hugo Berard, Allison Cohen, Shin Koseki, Hadrien Bertrand; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45311-45341
A Classification View on Meta Learning Bandits
Mirco Mutti, Jeongyeol Kwon, Shie Mannor, Aviv Tamar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45342-45361
Preference Adaptive and Sequential Text-to-Image Generation
Ofir Nabati, Guy Tennenholtz, Chihwei Hsu, Moonkyung Ryu, Deepak Ramachandran, Yinlam Chow, Xiang Li, Craig Boutilier; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45362-45394
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
Vaishnavh Nagarajan, Chen Henry Wu, Charles Ding, Aditi Raghunathan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45395-45436
LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data
Peer Nagy, Sascha Yves Frey, Kang Li, Bidipta Sarkar, Svitlana Vyetrenko, Stefan Zohren, Ani Calinescu, Jakob Nicolaus Foerster; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45437-45460
DOLPHIN: A Programmable Framework for Scalable Neurosymbolic Learning
Aaditya Naik, Jason Liu, Claire Wang, Amish Sethi, Saikat Dutta, Mayur Naik, Eric Wong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45461-45483
Matryoshka Quantization
Pranav Ajit Nair, Puranjay Datta, Jeff Dean, Prateek Jain, Aditya Kusupati; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45484-45506
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation
Srijith Nair, Michael Lin, Peizhong Ju, Amirreza Talebi, Elizabeth Serena Bentley, Jia Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45507-45528
Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through Options
Lakshmi Nair, Ian Trase, J. Mark Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45529-45560
Mind the Gap: a Spectral Analysis of Rank Collapse and Signal Propagation in Attention Layers
Thiziri Nait Saada, Alireza Naderi, Jared Tanner; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45561-45587
Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts
Amir Najafi, Samin Mahdizadeh Sani, Farzan Farnia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45588-45623
Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
Kosuke Nakanishi, Akihiro Kubo, Yuji Yasui, Shin Ishii; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45624-45662
Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport
Jayadev Naram, Fredrik Hellström, Ziming Wang, Rebecka Jörnsten, Giuseppe Durisi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45663-45681
Cost-efficient Collaboration between On-device and Cloud Language Models
Avanika Narayan, Dan Biderman, Sabri Eyuboglu, Avner May, Scott Linderman, James Zou, Christopher Re; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45682-45719
$\mathrmμ$nit Scaling: Simple and Scalable FP8 LLM Training
Saaketh Narayan, Abhay Gupta, Mansheej Paul, Davis Blalock; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45720-45736
Unified Screening for Multiple Diseases
Yiğit Narter, Alihan Hüyük, Mihaela Van Der Schaar, Cem Tekin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45737-45769
Kernel Quantile Embeddings and Associated Probability Metrics
Masha Naslidnyk, Siu Lun Chau, Francois-Xavier Briol, Krikamol Muandet; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45770-45800
A Sub-Problem Quantum Alternating Operator Ansatz for Correlation Clustering
Lucas Fabian Naumann, Jannik Irmai, Bjoern Andres; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45801-45816
UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction
Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Juan A. Rodriguez, Montek Kalsi, Nicolas Chapados, M. Tamer Özsu, Aishwarya Agrawal, David Vazquez, Christopher Pal, Perouz Taslakian, Spandana Gella, Sai Rajeswar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45817-45851
WILTing Trees: Interpreting the Distance Between MPNN Embeddings
Masahiro Negishi, Thomas Gärtner, Pascal Welke; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45852-45876
Identifying Neural Dynamics Using Interventional State Space Models
Amin Nejatbakhsh, Yixin Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45877-45894
Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect
Ojash Neopane, Aaditya Ramdas, Aarti Singh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45895-45910
A General Representation-Based Approach to Multi-Source Domain Adaptation
Ignavier Ng, Yan Li, Zijian Li, Yujia Zheng, Guangyi Chen, Kun Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45911-45933
Multi-band Frequency Reconstruction for Neural Psychoacoustic Coding
Dianwen Ng, Kun Zhou, Yi-Wen Chao, Zhiwei Xiong, Bin Ma, Engsiong Chng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45934-45953
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
Duc Anh Nguyen, Ernesto Araya, Adalbert Fono, Gitta Kutyniok; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45954-45987
Explicit Exploration for High-Welfare Equilibria in Game-Theoretic Multiagent Reinforcement Learning
Austin A. Nguyen, Anri Gu, Michael P. Wellman; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:45988-46007
Synthetic Text Generation for Training Large Language Models via Gradient Matching
Dang Nguyen, Zeman Li, Mohammadhossein Bateni, Vahab Mirrokni, Meisam Razaviyayn, Baharan Mirzasoleiman; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46008-46025
Layer-wise Quantization for Quantized Optimistic Dual Averaging
Anh Duc Nguyen, Ilia Markov, Zhengqing Wu, Ali Ramezani-Kebrya, Kimon Antonakopoulos, Dan Alistarh, Volkan Cevher; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46026-46072
Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity
Quan M. Nguyen, Nishant A Mehta, Cristóbal A Guzmán; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46073-46115
Lean and Mean Adaptive Optimization via Subset-Norm and Subspace-Momentum with Convergence Guarantees
Thien Hang Nguyen, Huy Nguyen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46116-46161
Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
Khai Nguyen, Hai Nguyen, Tuan Pham, Nhat Ho; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46162-46177
Provably Improving Generalization of Few-shot models with Synthetic Data
Lan-Cuong Nguyen, Quan Nguyen-Tri, Bang Tran Khanh, Dung D. Le, Long Tran-Thanh, Khoat Than; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46178-46195
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
Le-Trung Nguyen, Aël Quélennec, Van-Tam Nguyen, Enzo Tartaglione; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46196-46210
Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models
Quan Minh Nguyen, Minh N. Vu, Truc Nguyen, My T. Thai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46211-46241
Policy-Regret Minimization in Markov Games with Function Approximation
Thanh Nguyen-Tang, Raman Arora; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46242-46264
Time-Aware World Model for Adaptive Prediction and Control
Anh N Nhu, Sanghyun Son, Ming Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46265-46287
RollingQ: Reviving the Cooperation Dynamics in Multimodal Transformer
Haotian Ni, Yake Wei, Hang Liu, Gong Chen, Chong Peng, Hao Lin, Di Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46288-46304
Faster Global Minimum Cut with Predictions
Helia Niaparast, Benjamin Moseley, Karan Singh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46305-46319
FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees
Fan Nie, Xiaotian Hou, Shuhang Lin, James Zou, Huaxiu Yao, Linjun Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46320-46345
EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration
Allen Nie, Yi Su, Bo Chang, Jonathan Lee, Ed H. Chi, Quoc V Le, Minmin Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46346-46376
Decomposition of Graphic Design with Unified Multimodal Model
Hui Nie, Zhao Zhang, Yutao Cheng, Maoke Yang, Gonglei Shi, Qingsong Xie, Jie Shao, Xinglong Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46377-46388
Towards a Mechanistic Explanation of Diffusion Model Generalization
Matthew Niedoba, Berend Zwartsenberg, Kevin Patrick Murphy, Frank Wood; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46389-46411
The Jailbreak Tax: How Useful are Your Jailbreak Outputs?
Kristina Nikolić, Luze Sun, Jie Zhang, Florian Tramèr; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46412-46426
Latent Action Learning Requires Supervision in the Presence of Distractors
Alexander Nikulin, Ilya Zisman, Denis Tarasov, Lyubaykin Nikita, Andrei Polubarov, Igor Kiselev, Vladislav Kurenkov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46427-46447
Graph4MM: Weaving Multimodal Learning with Structural Information
Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46448-46472
MVA: Linear Attention with High-order Query-Keys Integration and Multi-level Vocabulary Decomposition
Wang Ning, Zekun Li, Tongxin Bai, Man Yao, Zhen Qin, Guoqi Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46473-46497
DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space
Mang Ning, Mingxiao Li, Jianlin Su, Jia Haozhe, Lanmiao Liu, Martin Benes, Wenshuo Chen, Albert Ali Salah, Itir Onal Ertugrul; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46498-46524
Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing
Kento Nishi, Rahul Ramesh, Maya Okawa, Mikail Khona, Hidenori Tanaka, Ekdeep Singh Lubana; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46525-46553
Nonlinear transformers can perform inference-time feature learning
Naoki Nishikawa, Yujin Song, Kazusato Oko, Denny Wu, Taiji Suzuki; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46554-46585
Propagation of Chaos for Mean-Field Langevin Dynamics and its Application to Model Ensemble
Atsushi Nitanda, Anzelle Lee, Damian Tan Xing Kai, Mizuki Sakaguchi, Taiji Suzuki; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46586-46610
Self-Bootstrapping for Versatile Test-Time Adaptation
Shuaicheng Niu, Guohao Chen, Peilin Zhao, Tianyi Wang, Pengcheng Wu, Zhiqi Shen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46611-46628
Test-Time Multimodal Backdoor Detection by Contrastive Prompting
Yuwei Niu, Shuo He, Qi Wei, Zongyu Wu, Feng Liu, Lei Feng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46629-46648
Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton
Chengmei Niu, Zhenyu Liao, Zenan Ling, Michael W. Mahoney; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46649-46692
Pre-training Auto-regressive Robotic Models with 4D Representations
Dantong Niu, Yuvan Sharma, Haoru Xue, Giscard Biamby, Junyi Zhang, Ziteng Ji, Trevor Darrell, Roei Herzig; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46693-46711
LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization
Wenzhe Niu, Zongxia Xie, Yanru Sun, Wei He, Man Xu, Chao Hao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46712-46734
Stronger Neyman Regret Guarantees for Adaptive Experimental Design
Georgy Noarov, Riccardo Fogliato, Martin Andres Bertran, Aaron Roth; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46735-46761
High-Dimensional Prediction for Sequential Decision Making
Georgy Noarov, Ramya Ramalingam, Aaron Roth, Stephan Xie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46762-46783
Stochastic Encodings for Active Feature Acquisition
Alexander Luke Ian Norcliffe, Changhee Lee, Fergus Imrie, Mihaela Van Der Schaar, Pietro Lio; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46784-46814
Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation
Shyam Nuggehalli, Jifan Zhang, Lalit K Jain, Robert D Nowak; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46815-46836
TuCo: Measuring the Contribution of Fine-Tuning to Individual Responses of LLMs
Felipe Pinto Coelho Nuti, Tim Franzmeyer, Joao F. Henriques; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46837-46876
Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders
Charles O’Neill, Alim Gumran, David Klindt; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46877-46896
Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean Field Games
Antonio Ocello, Daniil Tiapkin, Lorenzo Mancini, Mathieu Lauriere, Eric Moulines; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46897-46942
Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach
Changdae Oh, Zhen Fang, Shawn Im, Xuefeng Du, Yixuan Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:46943-46970
Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective
Yujin Oh, Pengfei Jin, Sangjoon Park, Sekeun Kim, Siyeop Yoon, Jin Sung Kim, Kyungsang Kim, Xiang Li, Quanzheng Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47003-47016
Global Context-aware Representation Learning for Spatially Resolved Transcriptomics
Yunhak Oh, Junseok Lee, Yeongmin Kim, Sangwoo Seo, Namkyeong Lee, Chanyoung Park; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47017-47043
Compressed Image Generation with Denoising Diffusion Codebook Models
Guy Ohayon, Hila Manor, Tomer Michaeli, Michael Elad; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47044-47089
Evaluating Neuron Explanations: A Unified Framework with Sanity Checks
Tuomas Oikarinen, Ge Yan, Tsui-Wei Weng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47090-47131
Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness
Konstantinos Oikonomidis, Jan Quan, Emanuel Laude, Panagiotis Patrinos; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47132-47154
Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery
Mateusz Olko, Mateusz Gajewski, Joanna Wojciechowska, Mikołaj Morzy, Piotr Sankowski, Piotr Miłoś; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47155-47175
Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning
Motoki Omura, Kazuki Ota, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47176-47195
TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference
Jack Min Ong, Matthew Di Ferrante, Aaron Pazdera, Ryan Garner, Sami Jaghouar, Manveer Basra, Max Ryabinin, Johannes Hagemann; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47196-47211
Activation Space Interventions Can Be Transferred Between Large Language Models
Narmeen Fatimah Oozeer, Dhruv Nathawani, Nirmalendu Prakash, Michael Lan, Abir Harrasse, Amir Abdullah; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47212-47286
Banyan: Improved Representation Learning with Explicit Structure
Mattia Opper, Siddharth N; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47287-47301
Discrete and Continuous Difference of Submodular Minimization
George Orfanides, Tim Hoheisel, Marwa El Halabi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47302-47338
LieRE: Lie Rotational Positional Encodings
Sophie Ostmeier, Brian Axelrod, Maya Varma, Michael Moseley, Akshay S Chaudhari, Curtis Langlotz; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47339-47355
KernelBench: Can LLMs Write Efficient GPU Kernels?
Anne Ouyang, Simon Guo, Simran Arora, Alex L Zhang, William Hu, Christopher Re, Azalia Mirhoseini; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47356-47415
scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data
Olga Ovcharenko, Florian Barkmann, Philip Toma, Imant Daunhawer, Julia E Vogt, Sebastian Schelter, Valentina Boeva; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47416-47442
SAND: One-Shot Feature Selection with Additive Noise Distortion
Pedram Pad, Hadi Hammoud, Mohamad Dia, Nadim Maamari, Liza Andrea Dunbar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47443-47455
Measuring Variable Importance in Heterogeneous Treatment Effects with Confidence
Joseph Paillard, Angel David Reyero Lobo, Vitaliy Kolodyazhniy, Bertrand Thirion, Denis-Alexander Engemann; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47456-47477
Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation
Alessandro Palma, Sergei Rybakov, Leon Hetzel, Stephan Günnemann, Fabian J Theis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47478-47508
Validating Mechanistic Interpretations: An Axiomatic Approach
Nils Palumbo, Ravi Mangal, Zifan Wang, Saranya Vijayakumar, Corina S. Pasareanu, Somesh Jha; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47509-47544
From Logits to Hierarchies: Hierarchical Clustering made Simple
Emanuele Palumbo, Moritz Vandenhirtz, Alain Ryser, Imant Daunhawer, Julia E Vogt; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47545-47564
Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability
Yicheng Pan, Renjie Chen, Pengyu Long, Bingchen Fan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47565-47589
DiffAdvMAP: Flexible Diffusion-Based Framework for Generating Natural Unrestricted Adversarial Examples
Zhengzhao Pan, Hua Chen, Xiaogang Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47590-47614
How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation
Yining Pan, Qiongjie Cui, Xulei Yang, Na Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47615-47631
Can Transformers Reason Logically? A Study in SAT Solving
Leyan Pan, Vijay Ganesh, Jacob Abernethy, Chris Esposo, Wenke Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47632-47671
Preference Optimization for Combinatorial Optimization Problems
Mingjun Pan, Guanquan Lin, You-Wei Luo, Bin Zhu, Zhien Dai, Lijun Sun, Chun Yuan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47672-47696
The Hidden Dimensions of LLM Alignment: A Multi-Dimensional Analysis of Orthogonal Safety Directions
Wenbo Pan, Zhichao Liu, Qiguang Chen, Xiangyang Zhou, Yu Haining, Xiaohua Jia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47697-47716
Training Software Engineering Agents and Verifiers with SWE-Gym
Jiayi Pan, Xingyao Wang, Graham Neubig, Navdeep Jaitly, Heng Ji, Alane Suhr, Yizhe Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47717-47737
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
Minting Pan, Yitao Zheng, Jiajian Li, Yunbo Wang, Xiaokang Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47738-47754
Variational Control for Guidance in Diffusion Models
Kushagra Pandey, Farrin Marouf Sofian, Felix Draxler, Theofanis Karaletsos, Stephan Mandt; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47755-47780
Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation
Mohit Pandey, Gopeshh Subbaraj, Artem Cherkasov, Martin Ester, Emmanuel Bengio; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47781-47819
QuEST: Stable Training of LLMs with 1-Bit Weights and Activations
Andrei Panferov, Jiale Chen, Soroush Tabesh, Mahdi Nikdan, Dan Alistarh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47820-47836
Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning
Jinlong Pang, Na Di, Zhaowei Zhu, Jiaheng Wei, Hao Cheng, Chen Qian, Yang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47837-47858
Adversarial Perturbations Are Formed by Iteratively Learning Linear Combinations of the Right Singular Vectors of the Adversarial Jacobian
Thomas Paniagua, Chinmay Savadikar, Tianfu Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47859-47878
Geometric Generative Modeling with Noise-Conditioned Graph Networks
Peter Pao-Huang, Mitchell Black, Xiaojie Qiu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47879-47901
Understanding High-Dimensional Bayesian Optimization
Leonard Papenmeier, Matthias Poloczek, Luigi Nardi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47902-47923
TopoTune: A Framework for Generalized Combinatorial Complex Neural Networks
Mathilde Papillon, Guillermo Bernardez, Claudio Battiloro, Nina Miolane; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47924-47952
Optimization Proxies using Limited Labeled Data and Training Time – A Semi-Supervised Bayesian Neural Network Approach
Parikshit Pareek, Abhijith Jayakumar, Kaarthik Sundar, Sidhant Misra, Deepjyoti Deka; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47953-47970
Steer LLM Latents for Hallucination Detection
Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, Yixuan Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47971-47990
Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss
Sangyeon Park, Isaac Han, Seungwon Oh, Kyungjoong Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:47991-48026
SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive Decoding
Woohyeon Park, Woojin Kim, Jaeik Kim, Jaeyoung Do; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48027-48040
Tensor Product Neural Networks for Functional ANOVA Model
Seokhun Park, Insung Kong, Yongchan Choi, Chanmoo Park, Yongdai Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48041-48085
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series
Min-Yeong Park, Won-Jeong Lee, Seong Tae Kim, Gyeong-Moon Park; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48086-48103
Flow Q-Learning
Seohong Park, Qiyang Li, Sergey Levine; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48104-48127
SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields
David Keetae Park, Xihaier Luo, Guang Zhao, Seungjun Lee, Miruna Oprescu, Shinjae Yoo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48128-48152
Sortformer: A Novel Approach for Permutation-Resolved Speaker Supervision in Speech-to-Text Systems
Taejin Park, Ivan Medennikov, Kunal Dhawan, Weiqing Wang, He Huang, Nithin Rao Koluguri, Krishna C Puvvada, Jagadeesh Balam, Boris Ginsburg; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48153-48169
Ensemble Distribution Distillation via Flow Matching
Jonggeon Park, Giung Nam, Hyunsu Kim, Jongmin Yoon, Juho Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48170-48191
Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?
Simon Park, Abhishek Panigrahi, Yun Cheng, Dingli Yu, Anirudh Goyal, Sanjeev Arora; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48192-48244
Long-Form Speech Generation with Spoken Language Models
Se Jin Park, Julian Salazar, Aren Jansen, Keisuke Kinoshita, Yong Man Ro, Rj Skerry-Ryan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48245-48261
Flexible and Efficient Grammar-Constrained Decoding
Kanghee Park, Timothy Zhou, Loris D’Antoni; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48262-48275
Quantifying Memory Utilization with Effective State-Size
Rom Parnichkun, Neehal Tumma, Armin W Thomas, Alessandro Moro, Qi An, Taiji Suzuki, Atsushi Yamashita, Michael Poli, Stefano Massaroli; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48276-48334
On the Local Complexity of Linear Regions in Deep ReLU Networks
Niket Nikul Patel, Guido Montufar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48335-48370
The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models
Shishir G Patil, Huanzhi Mao, Fanjia Yan, Charlie Cheng-Jie Ji, Vishnu Suresh, Ion Stoica, Joseph E. Gonzalez; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48371-48392
Automatically Interpreting Millions of Features in Large Language Models
Gonçalo Santos Paulo, Alex Troy Mallen, Caden Juang, Nora Belrose; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48393-48421
Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation
Jan Pauls, Max Zimmer, Berkant Turan, Sassan Saatchi, Philippe Ciais, Sebastian Pokutta, Fabian Gieseke; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48422-48438
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
Anselm Paulus, Arman Zharmagambetov, Chuan Guo, Brandon Amos, Yuandong Tian; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48439-48469
Automated Red Teaming with GOAT: the Generative Offensive Agent Tester
Maya Pavlova, Erik Brinkman, Krithika Iyer, Vı́tor Albiero, Joanna Bitton, Hailey Nguyen, Cristian Canton Ferrer, Ivan Evtimov, Aaron Grattafiori; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48470-48487
Stable Offline Value Function Learning with Bisimulation-based Representations
Brahma S Pavse, Yudong Chen, Qiaomin Xie, Josiah P. Hanna; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48488-48517
Representative Language Generation
Charlotte Peale, Vinod Raman, Omer Reingold; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48518-48541
Scaling Laws for Pre-training Agents and World Models
Tim Pearce, Tabish Rashid, David Bignell, Raluca Georgescu, Sam Devlin, Katja Hofmann; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48542-48562
Compact Matrix Quantum Group Equivariant Neural Networks
Edward Pearce-Crump; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48563-48594
Permutation Equivariant Neural Networks for Symmetric Tensors
Edward Pearce-Crump; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48595-48634
Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos
Christian Pedersen, Laure Zanna, Joan Bruna; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48635-48661
Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics
Hongbin Pei, Jingxin Hai, Yu Li, Huiqi Deng, Denghao Ma, Jie Ma, Pinghui Wang, Jing Tao, Xiaohong Guan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48662-48678
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
Gaozheng Pei, Ke Ma, Yingfei Sun, Qianqian Xu, Qingming Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48679-48698
GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction
Muleilan Pei, Shaoshuai Shi, Lu Zhang, Peiliang Li, Shaojie Shen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48699-48713
Hyper-Transforming Latent Diffusion Models
Ignacio Peis, Batuhan Koyuncu, Isabel Valera, Jes Frellsen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48714-48733
Approximating Latent Manifolds in Neural Networks via Vanishing Ideals
Nico Pelleriti, Max Zimmer, Elias Samuel Wirth, Sebastian Pokutta; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48734-48761
Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization
Emiliano Penaloza, Tianyue H. Zhang, Laurent Charlin, Mateo Espinosa Zarlenga; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48762-48788
Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing
Jie Peng, Jenna L. Ballard, Mohan Zhang, Sukwon Yun, Jiayi Xin, Qi Long, Yanyong Zhang, Tianlong Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48789-48807
Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach
Qian Peng, Yajie Bao, Haojie Ren, Zhaojun Wang, Changliang Zou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48808-48831
KGMark: A Diffusion Watermark for Knowledge Graphs
Hongrui Peng, Haolang Lu, Yuanlong Yu, Weiye Fu, Kun Wang, Guoshun Nan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48832-48851
A Near Linear Query Lower Bound for Submodular Maximization
Binghui Peng, Aviad Rubinstein; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48852-48871
CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models
Sen Peng, Mingyue Wang, Jianfei He, Jijia Yang, Xiaohua Jia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48872-48885
Circumventing Backdoor Space via Weight Symmetry
Jie Peng, Hongwei Yang, Jing Zhao, Hengji Dong, Hui He, Weizhe Zhang, Haoyu He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48886-48922
Noise Conditional Variational Score Distillation
Xinyu Peng, Ziyang Zheng, Yaoming Wang, Han Li, Nuowen Kan, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48923-48947
Revisiting the Predictability of Performative, Social Events
Juan Carlos Perdomo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48948-48961
Mechanistic PDE Networks for Discovery of Governing Equations
Adeel Pervez, Efstratios Gavves, Francesco Locatello; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48962-48973
Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?
Guiomar Pescador-Barrios, Sarah Lucie Filippi, Mark Van Der Wilk; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48974-49000
Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data
Erez Peterfreund, Ofir Lindenbaum, Yuval Kluger, Boris Landa; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49001-49068
Training Deep Learning Models with Norm-Constrained LMOs
Thomas Pethick, Wanyun Xie, Kimon Antonakopoulos, Zhenyu Zhu, Antonio Silveti-Falls, Volkan Cevher; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49069-49104
Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification
Flavio Petruzzellis, Cristina Cornelio, Pietro Lio; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49105-49127
Wasserstein Policy Optimization
David Pfau, Ian Davies, Diana L Borsa, João Guilherme Madeira Araújo, Brendan Daniel Tracey, Hado Van Hasselt; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49128-49149
Gandalf the Red: Adaptive Security for LLMs
Niklas Pfister, Václav Volhejn, Manuel Knott, Santiago Arias, Julia Bazinska, Mykhailo Bichurin, Alan Y. Commike, Janet Darling, Peter Dienes, Matthew Fiedler, David Haber, Matthias Kraft, Marco Lancini, Max Mathys, Damian Pascual-Ortiz, Jakub Podolak, Adrià Romero-López, Kyriacos Shiarlis, Andreas Signer, Zsolt Terek, Athanasios Theocharis, Daniel Timbrell, Samuel Trautwein, Samuel Watts, Yun-Han Wu, Mateo Rojas-Carulla; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49150-49194
Discrete Markov Probabilistic Models: An Improved Discrete Score-Based Framework with sharp convergence bounds under minimal assumptions
Le-Tuyet-Nhi Pham, Dario Shariatian, Antonio Ocello, Giovanni Conforti, Alain Oliviero Durmus; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49195-49258
Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models
Ngoc-Quan Pham, Tuan Truong, Quyen Tran, Tan Minh Nguyen, Dinh Phung, Trung Le; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49259-49276
Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners
Manh Pham Hung, Aaqib Saeed, Dong Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49277-49291
Conditioning Diffusions Using Malliavin Calculus
Jakiw Pidstrigach, Elizabeth Louise Baker, Carles Domingo-Enrich, George Deligiannidis, Nikolas Nüsken; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49292-49315
Revisiting Unbiased Implicit Variational Inference
Tobias Pielok, Bernd Bischl, David Rügamer; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49316-49328
Privacy Amplification Through Synthetic Data: Insights from Linear Regression
Clément Pierquin, Aurélien Bellet, Marc Tommasi, Matthieu Boussard; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49329-49354
Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors
Emile Pierret, Bruno Galerne; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49355-49381
Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity
Alessandro Pierro, Steven Abreu, Jonathan Timcheck, Philipp Stratmann, Andreas Wild, Sumit Bam Shrestha; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49382-49398
Constrained Belief Updates Explain Geometric Structures in Transformer Representations
Mateusz Piotrowski, Paul M. Riechers, Daniel Filan, Adam Shai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49399-49419
Do Bayesian Neural Networks Actually Behave Like Bayesian Models?
Gábor Pituk, Vik Shirvaikar, Tom Rainforth; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49420-49458
Rectifying Conformity Scores for Better Conditional Coverage
Vincent Plassier, Alexander Fishkov, Victor Dheur, Mohsen Guizani, Souhaib Ben Taieb, Maxim Panov, Eric Moulines; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49459-49492
To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers
Roman Plaud, Alexandre Perez-Lebel, Matthieu Labeau, Antoine Saillenfest, Thomas Bonald; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49493-49536
Avoiding Catastrophe in Online Learning by Asking for Help
Benjamin Plaut, Hanlin Zhu, Stuart Russell; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49537-49568
Vintix: Action Model via In-Context Reinforcement Learning
Andrei Polubarov, Lyubaykin Nikita, Alexander Derevyagin, Ilya Zisman, Denis Tarasov, Alexander Nikulin, Vladislav Kurenkov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49569-49602
Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings
Angéline Pouget, Mohammad Yaghini, Stephan Rabanser, Nicolas Papernot; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49603-49627
The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data
Thomas Pouplin, Kasia Kobalczyk, Hao Sun, Mihaela Van Der Schaar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49628-49658
Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI
Julien Pourcel, Cédric Colas, Pierre-Yves Oudeyer; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49659-49688
DEALing with Image Reconstruction: Deep Attentive Least Squares
Mehrsa Pourya, Erich Kobler, Michael Unser, Sebastian Neumayer; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49689-49708
MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification
Suchith Chidananda Prabhu, Bhavyajeet Singh, Anshul Mittal, Siddarth Asokan, Shikhar Mohan, Deepak Saini, Yashoteja Prabhu, Lakshya Kumar, Jian Jiao, Amit S, Niket Tandon, Manish Gupta, Sumeet Agarwal, Manik Varma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49709-49736
Self-Consistency Preference Optimization
Archiki Prasad, Weizhe Yuan, Richard Yuanzhe Pang, Jing Xu, Maryam Fazel-Zarandi, Mohit Bansal, Sainbayar Sukhbaatar, Jason E Weston, Jane Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49737-49751
DCBM: Data-Efficient Visual Concept Bottleneck Models
Katharina Prasse, Patrick Knab, Sascha Marton, Christian Bartelt, Margret Keuper; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49752-49782
Be a Goldfish: Forgetting Bad Conditioning in Sparse Linear Regression via Variational Autoencoders
Kuheli Pratihar, Debdeep Mukhopadhyay; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49783-49802
Graph Inverse Style Transfer for Counterfactual Explainability
Bardh Prenkaj, Efstratios Zaradoukas, Gjergji Kasneci; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49803-49829
WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales
Drew Prinster, Xing Han, Anqi Liu, Suchi Saria; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49830-49859
Learning dynamics in linear recurrent neural networks
Alexandra Maria Proca, Clémentine Carla Juliette Dominé, Murray Shanahan, Pedro A. M. Mediano; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49860-49902
Clone-Robust AI Alignment
Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49903-49926
Janus: Dual-Server Multi-Round Secure Aggregation with Verifiability for Federated Learning
Lang Pu, Jingjing Gu, Chao Lin, Xinyi Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49927-49945
SHE: Streaming-media Hashing Retrieval
Ruitao Pu, Yang Qin, Xiaomin Song, Dezhong Peng, Zhenwen Ren, Yuan Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49946-49958
Sample Efficient Demonstration Selection for In-Context Learning
Kiran Purohit, Venktesh V, Sourangshu Bhattacharya, Avishek Anand; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49959-49982
Learning State-Based Node Representations from a Class Hierarchy for Fine-Grained Open-Set Detection
Spandan Pyakurel, Qi Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:49983-50005
Rethinking the Temperature for Federated Heterogeneous Distillation
Fan Qi, Daxu Shi, Chuokun Xu, Shuai Li, Changsheng Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50006-50023
Universal Approximation Theorem of Deep Q-Networks
Qian Qi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50024-50046
GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention
Jiaru Qian, Guancheng Wan, Wenke Huang, Guibin Zhang, Yuxin Wu, Bo Du, Mang Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50047-50065
TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree
Yu-Yang Qian, Yuan-Ze Xu, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50066-50085
On the Out-of-Distribution Generalization of Self-Supervised Learning
Wenwen Qiang, Jingyao Wang, Zeen Song, Jiangmeng Li, Changwen Zheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50086-50112
GCAL: Adapting Graph Models to Evolving Domain Shifts
Ziyue Qiao, Qianyi Cai, Hao Dong, Jiawei Gu, Pengyang Wang, Meng Xiao, Xiao Luo, Hui Xiong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50113-50129
Structure-informed Risk Minimization for Robust Ensemble Learning
Fengchun Qiao, Yanlin Chen, Xi Peng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50130-50141
PDUDT: Provable Decentralized Unlearning under Dynamic Topologies
Jing Qiao, Yu Liu, Zengzhe Chen, Mingyi Li, Yuan Yuan, Xiao Zhang, Dongxiao Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50142-50170
How Distributed Collaboration Influences the Diffusion Model Training? A Theoretical Perspective
Jing Qiao, Yu Liu, Yuan Yuan, Xiao Zhang, Zhipeng Cai, Dongxiao Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50171-50188
Large Continual Instruction Assistant
Jingyang Qiao, Zhizhong Zhang, Xin Tan, Yanyun Qu, Shouhong Ding, Yuan Xie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50189-50213
Enhancing Spectral GNNs: From Topology and Perturbation Perspectives
Taoyang Qin, Ke-Jia Chen, Zheng Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50214-50234
Fast Incomplete Multi-view Clustering by Flexible Anchor Learning
Yalan Qin, Guorui Feng, Xinpeng Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50235-50245
GradPS: Resolving Futile Neurons in Parameter Sharing Network for Multi-Agent Reinforcement Learning
Haoyuan Qin, Zhengzhu Liu, Chenxing Lin, Chennan Ma, Songzhu Mei, Siqi Shen, Cheng Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50246-50268
DeFoG: Discrete Flow Matching for Graph Generation
Yiming Qin, Manuel Madeira, Dorina Thanou, Pascal Frossard; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50269-50326
Robust Consensus Anchor Learning for Efficient Multi-view Subspace Clustering
Yalan Qin, Nan Pu, Guorui Feng, Nicu Sebe; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50327-50337
WorldSimBench: Towards Video Generation Models as World Simulators
Yiran Qin, Zhelun Shi, Jiwen Yu, Xijun Wang, Enshen Zhou, Lijun Li, Zhenfei Yin, Xihui Liu, Lu Sheng, Jing Shao, Lei Bai, Ruimao Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50338-50362
Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations
Jason Qin, Hans-Hermann Wessels, Carlos Fernandez-Granda, Yuhan Hao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50363-50383
Info-Coevolution: An Efficient Framework for Data Model Coevolution
Ziheng Qin, Hailun Xu, Wei Chee Yew, Qi Jia, Yang Luo, Kanchan Sarkar, Danhui Guan, Kai Wang, Yang You; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50384-50396
MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrödinger Bridges
Shixi Qin, Zhiyong Yang, Shilong Bao, Shi Wang, Qianqian Xu, Qingming Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50397-50434
Learning to Quantize for Training Vector-Quantized Networks
Peijia Qin, Jianguo Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50435-50447
Exploiting Curvature in Online Convex Optimization with Delayed Feedback
Hao Qiu, Emmanuel Esposito, Mengxiao Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50448-50479
Lightweight-Mark: Rethinking Deep Learning-Based Watermarking
Yupeng Qiu, Han Fang, Ee-Chien Chang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50480-50501
Feature out! Let Raw Image as Your Condition for Blind Face Restoration
Xinmin Qiu, Chen Gege, Bonan Li, Congying Han, Tiande Guo, Zicheng Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50502-50525
The Lock-in Hypothesis: Stagnation by Algorithm
Tianyi Qiu, Zhonghao He, Tejasveer Chugh, Max Kleiman-Weiner; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50526-50571
MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-text Decoding
Weikang Qiu, Zheng Huang, Haoyu Hu, Aosong Feng, Yujun Yan, Zhitao Ying; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50572-50593
Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation
Rihong Qiu, Xinke Jiang, Yuchen Fang, Hongbin Lai, Hao Miao, Xu Chu, Junfeng Zhao, Yasha Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50594-50618
Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule
Keyue Qiu, Yuxuan Song, Zhehuan Fan, Peidong Liu, Zhe Zhang, Mingyue Zheng, Hao Zhou, Wei-Ying Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50619-50644
Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks
Keyue Qiu, Yuxuan Song, Jie Yu, Hongbo Ma, Ziyao Cao, Zhilong Zhang, Yushuai Wu, Mingyue Zheng, Hao Zhou, Wei-Ying Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50645-50671
Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing
Zijie Qiu, Jiaqi Wei, Xiang Zhang, Sheng Xu, Kai Zou, Zhi Jin, Zhiqiang Gao, Nanqing Dong, Siqi Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50672-50696
Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks
Shikai Qiu, Lechao Xiao, Andrew Gordon Wilson, Jeffrey Pennington, Atish Agarwala; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50697-50720
ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-$k$-Cut Problems
Yeqing Qiu, Ye Xue, Akang Wang, Yiheng Wang, Qingjiang Shi, Zhi-Quan Luo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50721-50743
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation
Jingxiang Qu, Wenhan Gao, Jiaxing Zhang, Xufeng Liu, Hua Wei, Haibin Ling, Yi Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50744-50761
CoDy: Counterfactual Explainers for Dynamic Graphs
Zhan Qu, Daniel Gomm, Michael Färber; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50762-50785
P(all-atom) Is Unlocking New Path For Protein Design
Wei Qu, Jiawei Guan, Rui Ma, Ke Zhai, Weikun Wu, Haobo Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50786-50816
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
Jingang Qu, David Holzmüller, Gaël Varoquaux, Marine Le Morvan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50817-50847
AEQA-NAT : Adaptive End-to-end Quantization Alignment Training Framework for Non-autoregressive Machine Translation
Xiangyu Qu, Guojing Liu, Liang Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50848-50864
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Yun Qu, Cheems Wang, Yixiu Mao, Yiqin Lv, Xiangyang Ji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50865-50892
Optimizing Test-Time Compute via Meta Reinforcement Finetuning
Yuxiao Qu, Matthew Y. R. Yang, Amrith Setlur, Lewis Tunstall, Edward Emanuel Beeching, Ruslan Salakhutdinov, Aviral Kumar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50893-50925
Visual Autoregressive Modeling for Image Super-Resolution
Yunpeng Qu, Kun Yuan, Jinhua Hao, Kai Zhao, Qizhi Xie, Ming Sun, Chao Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50926-50948
Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention
Stephan Rabanser, Ali Shahin Shamsabadi, Olive Franzese, Xiao Wang, Adrian Weller, Nicolas Papernot; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50949-50971
Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional
Sanjeev Raja, Martin Sipka, Michael Psenka, Tobias Kreiman, Michal Pavelka, Aditi S. Krishnapriyan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:50972-51008
Human-Aligned Image Models Improve Visual Decoding from the Brain
Nona Rajabi, Antonio H. Ribeiro, Miguel Vasco, Farzaneh Taleb, Mårten Björkman, Danica Kragic; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51009-51038
Importance Sampling for Nonlinear Models
Prakash Palanivelu Rajmohan, Fred Roosta; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51039-51059
The Relationship Between No-Regret Learning and Online Conformal Prediction
Ramya Ramalingam, Shayan Kiyani, Aaron Roth; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51060-51078
Generation from Noisy Examples
Ananth Raman, Vinod Raman; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51079-51093
Communicating Activations Between Language Model Agents
Vignav Ramesh, Kenneth Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51094-51116
Differentially Private Boxplots
Kelly Ramsay, Jairo Diaz-Rodriguez; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51117-51139
You Always Recognize Me (YARM): Robust Texture Synthesis Against Multi-View Corruption
Weihang Ran, Wei Yuan, Yinqiang Zheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51140-51155
FeatSharp: Your Vision Model Features, Sharper
Mike Ranzinger, Greg Heinrich, Pavlo Molchanov, Bryan Catanzaro, Andrew Tao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51156-51182
Quadruple Attention in Many-body Systems for Accurate Molecular Property Predictions
Jiahua Rao, Dahao Xu, Wentao Wei, Yicong Chen, Mingjun Yang, Yuedong Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51183-51200
Diffusion Counterfactual Generation with Semantic Abduction
Rajat R Rasal, Avinash Kori, Fabio De Sousa Ribeiro, Tian Xia, Ben Glocker; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51201-51228
Towards Cost-Effective Reward Guided Text Generation
Ahmad Rashid, Ruotian Wu, Rongqi Fan, Hongliang Li, Agustinus Kristiadi, Pascal Poupart; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51229-51246
STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings
Saksham Rastogi, Pratyush Maini, Danish Pruthi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51247-51272
Adversarial Inception Backdoor Attacks against Reinforcement Learning
Ethan Rathbun, Alina Oprea, Christopher Amato; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51273-51296
Statistical Hypothesis Testing for Auditing Robustness in Language Models
Paulius Rauba, Qiyao Wei, Mihaela Van Der Schaar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51297-51313
Towards Memorization Estimation: Fast, Formal and Free
Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51314-51340
RATE: Causal Explainability of Reward Models with Imperfect Counterfactuals
David Reber, Sean M Richardson, Todd Nief, Cristina Garbacea, Victor Veitch; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51341-51368
When to retrain a machine learning model
Florence Regol, Leo Schwinn, Kyle Sprague, Mark Coates, Thomas Markovich; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51369-51404
Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization
Robbert Reijnen, Yaoxin Wu, Zaharah Bukhsh, Yingqian Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51405-51420
Multi-View Graph Clustering via Node-Guided Contrastive Encoding
Yazhou Ren, Junlong Ke, Zichen Wen, Tianyi Wu, Yang Yang, Xiaorong Pu, Lifang He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51421-51435
ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks
Zhiyao Ren, Siyuan Liang, Aishan Liu, Dacheng Tao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51436-51449
A Parameter-Free and Near-Optimal Zeroth-Order Algorithm for Stochastic Convex Optimization
Kunjie Ren, Luo Luo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51450-51470
Inverse Optimization via Learning Feasible Regions
Ke Ren, Peyman Mohajerin Esfahani, Angelos Georghiou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51471-51488
FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching
Sucheng Ren, Qihang Yu, Ju He, Xiaohui Shen, Alan Yuille, Liang-Chieh Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51489-51502
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation
Roie Reshef, Kfir Yehuda Levy; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51503-51530
Can Transformers Learn Full Bayesian Inference in Context?
Arik Reuter, Tim G. J. Rudner, Vincent Fortuin, David Rügamer; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51531-51582
Representative Ranking for Deliberation in the Public Sphere
Manon Revel, Smitha Milli, Tyler Lu, Jamelle Watson-Daniels, Maximilian Nickel; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51583-51613
Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions
Fabiola Ricci, Lorenzo Bardone, Sebastian Goldt; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51614-51639
Understanding the Logic of Direct Preference Alignment through Logic
Kyle Richardson, Vivek Srikumar, Ashish Sabharwal; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51640-51658
General agents need world models
Jonathan Richens, Tom Everitt, David Abel; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51659-51687
Update Your Transformer to the Latest Release: Re-Basin of Task Vectors
Filippo Rinaldi, Giacomo Capitani, Lorenzo Bonicelli, Donato Crisostomi, Federico Bolelli, Elisa Ficarra, Emanuele Rodolà, Simone Calderara, Angelo Porrello; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51688-51702
Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting
J Rishi, Gvs Mothish, Deepak Subramani; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51703-51723
Progressive Tempering Sampler with Diffusion
Severi Rissanen, Ruikang Ouyang, Jiajun He, Wenlin Chen, Markus Heinonen, Arno Solin, José Miguel Hernández-Lobato; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51724-51746
Resolving Lexical Bias in Model Editing
Hammad Rizwan, Domenic Rosati, Ga Wu, Hassan Sajjad; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51747-51769
On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention for Long-Context LLM Serving
Yeonju Ro, Zhenyu Zhang, Souvik Kundu, Zhangyang Wang, Aditya Akella; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51770-51786
FairPFN: A Tabular Foundation Model for Causal Fairness
Jake Robertson, Noah Hollmann, Samuel Müller, Noor Awad, Frank Hutter; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51787-51808
A Reduction Framework for Distributionally Robust Reinforcement Learning under Average Reward
Zachary Andrew Roch, George K. Atia, Yue Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51809-51850
Discrete Neural Algorithmic Reasoning
Gleb Rodionov, Liudmila Prokhorenkova; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51851-51865
Concept Reachability in Diffusion Models: Beyond Dataset Constraints
Marta Aparicio Rodriguez, Xenia Miscouridou, Anastasia Borovykh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51866-51889
Separating Knowledge and Perception with Procedural Data
Adrian Rodriguez-Munoz, Manel Baradad, Phillip Isola, Antonio Torralba; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51890-51904
Towards characterizing the value of edge embeddings in Graph Neural Networks
Dhruv Rohatgi, Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Ankur Moitra, Andrej Risteski; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51905-51923
Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces
Kevin Rojas, Yuchen Zhu, Sichen Zhu, Felix X-F. Ye, Molei Tao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51924-51956
Provably Efficient RL for Linear MDPs under Instantaneous Safety Constraints in Non-Convex Feature Spaces
Amirhossein Roknilamouki, Arnob Ghosh, Ming Shi, Fatemeh Nourzad, Eylem Ekici, Ness Shroff; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51957-51995
MITIGATING OVER-EXPLORATION IN LATENT SPACE OPTIMIZATION USING LES
Omer Ronen, Ahmed Imtiaz Humayun, Richard Baraniuk, Randall Balestriero, Bin Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:51996-52024
CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning
Xuankun Rong, Jianshu Zhang, Kun He, Mang Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52025-52040
Fragments to Facts: Partial-Information Fragment Inference from LLMs
Lucas Rosenblatt, Bin Han, Robert Wolfe, Bill Howe; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52041-52064
Differential Privacy Under Class Imbalance: Methods and Empirical Insights
Lucas Rosenblatt, Yuliia Lut, Ethan Turok, Marco Avella Medina, Rachel Cummings; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52065-52109
Loss Functions and Operators Generated by f-Divergences
Vincent Roulet, Tianlin Liu, Nino Vieillard, Michael Eli Sander, Mathieu Blondel; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52110-52138
Implicit Riemannian Optimism with Applications to Min-Max Problems
Christophe Roux, David Martı́nez-Rubio, Sebastian Pokutta; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52139-52172
G-Adaptivity: optimised graph-based mesh relocation for finite element methods
James Rowbottom, Georg Maierhofer, Teo Deveney, Eike Hermann Müller, Alberto Paganini, Katharina Schratz, Pietro Lio, Carola-Bibiane Schönlieb, Chris Budd; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52173-52197
No Free Lunch from Random Feature Ensembles: Scaling Laws and Near-Optimality Conditions
Benjamin Samuel Ruben, William Lingxiao Tong, Hamza Tahir Chaudhry, Cengiz Pehlevan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52198-52224
From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning
Noa Rubin, Kirsten Fischer, Javed Lindner, Inbar Seroussi, Zohar Ringel, Michael Krämer, Moritz Helias; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52225-52257
Strategic Planning: A Top-Down Approach to Option Generation
Max Ruiz Luyten, Antonin Berthon, Mihaela Van Der Schaar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52258-52302
LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
Anian Ruoss, Fabio Pardo, Harris Chan, Bonnie Li, Volodymyr Mnih, Tim Genewein; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52303-52344
Zero-Shot Offline Imitation Learning via Optimal Transport
Thomas Rupf, Marco Bagatella, Nico Gürtler, Jonas Frey, Georg Martius; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52345-52381
Adaptive Exploration for Multi-Reward Multi-Policy Evaluation
Alessio Russo, Aldo Pacchiano; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52382-52421
Value-Based Deep RL Scales Predictably
Oleh Rybkin, Michal Nauman, Preston Fu, Charlie Victor Snell, Pieter Abbeel, Sergey Levine, Aviral Kumar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52422-52443
A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation
Jongha Jon Ryu, Abhin Shah, Gregory W. Wornell; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52444-52474
An Architecture Search Framework for Inference-Time Techniques
Jon Saad-Falcon, Adrian Gamarra Lafuente, Shlok Natarajan, Nahum Maru, Hristo Todorov, Etash Kumar Guha, E. Kelly Buchanan, Mayee F Chen, Neel Guha, Christopher Re, Azalia Mirhoseini; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52475-52507
Disparate Conditional Prediction in Multiclass Classifiers
Sivan Sabato, Eran Treister, Elad Yom-Tov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52508-52525
Adversarial Reasoning at Jailbreaking Time
Mahdi Sabbaghi, Paul Kassianik, George J. Pappas, Amin Karbasi, Hamed Hassani; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52526-52551
Dueling Convex Optimization with General Preferences
Aadirupa Saha, Tomer Koren, Yishay Mansour; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52552-52564
Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge
Swarnadeep Saha, Xian Li, Marjan Ghazvininejad, Jason E Weston, Tianlu Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52565-52583
The Diffusion Duality
Subham Sekhar Sahoo, Justin Deschenaux, Aaron Gokaslan, Guanghan Wang, Justin T Chiu, Volodymyr Kuleshov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52584-52619
LGDM: Latent Guidance in Diffusion Models for Perceptual Evaluations
Shreshth Saini, Ru-Ling Liao, Yan Ye, Alan Bovik; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52620-52643
Benign Overfitting in Token Selection of Attention Mechanism
Keitaro Sakamoto, Issei Sato; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52644-52727
Tuning LLM Judge Design Decisions for 1/1000 of the Cost
David Salinas, Omar Swelam, Frank Hutter; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52728-52744
SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models
Cansu Sancaktar, Christian Gumbsch, Andrii Zadaianchuk, Pavel Kolev, Georg Martius; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52745-52777
Joint Learning of Energy-based Models and their Partition Function
Michael Eli Sander, Vincent Roulet, Tianlin Liu, Mathieu Blondel; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52778-52797
Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization
Suryanarayana Sankagiri, Jalal Etesami, Matthias Grossglauser; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52798-52832
Collapse-Proof Non-Contrastive Self-Supervised Learning
Emanuele Sansone, Tim Lebailly, Tinne Tuytelaars; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52833-52860
MGD$^3$ : Mode-Guided Dataset Distillation using Diffusion Models
Jeffrey A Chan Santiago, Praveen Tirupattur, Gaurav Kumar Nayak, Gaowen Liu, Mubarak Shah; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52861-52876
$∞$-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation
Saul Santos, António Farinhas, Daniel C Mcnamee, Andre Martins; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52877-52893
The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes
Pedro Pinto Santos, Alberto Sardinha, Francisco S. Melo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52894-52921
Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting
Sunny Sanyal, Hayden Prairie, Rudrajit Das, Ali Kavis, Sujay Sanghavi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52922-52957
The underlying structures of self-attention: symmetry, directionality, and emergent dynamics in Transformer training
Matteo Saponati, Pascal Josef Sager, Pau Vilimelis Aceituno, Thilo Stadelmann, Benjamin F Grewe; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52958-52994
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations
Davide Sartor, Alberto Sinigaglia, Gian Antonio Susto; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:52995-53018
WeGeFT: Weight-Generative Fine-Tuning for Multi-Faceted Efficient Adaptation of Large Models
Chinmay Savadikar, Xi Song, Tianfu Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53019-53041
NestQuant: nested lattice quantization for matrix products and LLMs
Semyon Savkin, Eitan Porat, Or Ordentlich, Yury Polyanskiy; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53042-53062
Natural Perturbations for Black-box Training of Neural Networks by Zeroth-Order Optimization
Hiroshi Sawada, Kazuo Aoyama, Yuya Hikima; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53063-53079
Making Hard Problems Easier with Custom Data Distributions and Loss Regularization: A Case Study in Modular Arithmetic
Eshika Saxena, Alberto Alfarano, Emily Wenger, Kristin E. Lauter; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53080-53094
ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals
Utkarsh Saxena, Sayeh Sharify, Kaushik Roy, Xin Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53095-53114
Symmetry-Robust 3D Orientation Estimation
Christopher Scarvelis, David Benhaim, Paul Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53115-53131
How Do Large Language Monkeys Get Their Power (Laws)?
Rylan Schaeffer, Joshua Kazdan, John Hughes, Jordan Juravsky, Sara Price, Aengus Lynch, Erik Jones, Robert Kirk, Azalia Mirhoseini, Sanmi Koyejo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53132-53176
Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?
Rylan Schaeffer, Hailey Schoelkopf, Brando Miranda, Gabriel Mukobi, Varun Madan, Adam Ibrahim, Herbie Bradley, Stella Biderman, Sanmi Koyejo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53177-53266
The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training
Fabian Schaipp, Alexander Hägele, Adrien Taylor, Umut Simsekli, Francis Bach; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53267-53294
Learning the RoPEs: Better 2D and 3D Position Encodings with STRING
Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Kumar Avinava Dubey, Ayzaan Wahid, Sumeet Singh, René Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Marcin Choromanski; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53295-53315
FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks
Laines Schmalwasser, Niklas Penzel, Joachim Denzler, Julia Niebling; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53316-53342
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
Thomas Schmied, Thomas Adler, Vihang Prakash Patil, Maximilian Beck, Korbinian Pöppel, Johannes Brandstetter, Günter Klambauer, Razvan Pascanu, Sepp Hochreiter; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53343-53387
Generative Intervention Models for Causal Perturbation Modeling
Nora Schneider, Lars Lorch, Niki Kilbertus, Bernhard Schölkopf, Andreas Krause; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53388-53412
Hyperband-based Bayesian Optimization for Black-box Prompt Selection
Lennart Schneider, Martin Wistuba, Aaron Klein, Jacek Golebiowski, Giovanni Zappella, Felice Antonio Merra; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53413-53438
Implicit Language Models are RNNs: Balancing Parallelization and Expressivity
Mark Schöne, Babak Rahmani, Heiner Kremer, Fabian Falck, Hitesh Ballani, Jannes Gladrow; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53439-53466
Temperature-Annealed Boltzmann Generators
Henrik Schopmans, Pascal Friederich; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53467-53500
Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting
Jan Schuchardt, Mina Dalirrooyfard, Jed Guzelkabaagac, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53501-53556
Adjustment for Confounding using Pre-Trained Representations
Rickmer Schulte, David Rügamer, Thomas Nagler; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53557-53580
Mastering Board Games by External and Internal Planning with Language Models
John Schultz, Jakub Adamek, Matej Jusup, Marc Lanctot, Michael Kaisers, Sarah Perrin, Daniel Hennes, Jeremy Shar, Cannada A. Lewis, Anian Ruoss, Tom Zahavy, Petar Veličković, Laurel Prince, Satinder Singh, Eric Malmi, Nenad Tomasev; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53581-53644
Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models
Luca M. Schulze Buschoff, Konstantinos Voudouris, Elif Akata, Matthias Bethge, Joshua B. Tenenbaum, Eric Schulz; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53645-53662
The Disparate Benefits of Deep Ensembles
Kajetan Schweighofer, Adrian Arnaiz-Rodriguez, Sepp Hochreiter, Nuria M Oliver; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53663-53702
Learning Representations of Instruments for Partial Identification of Treatment Effects
Jonas Schweisthal, Dennis Frauen, Maresa Schröder, Konstantin Hess, Niki Kilbertus, Stefan Feuerriegel; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53703-53727
Cover learning for large-scale topology representation
Luis Scoccola, Uzu Lim, Heather A. Harrington; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53728-53756
Differentially Private Federated $k$-Means Clustering with Server-Side Data
Jonathan Scott, Christoph H. Lampert, David Saulpic; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53757-53790
Bootstrapping Self-Improvement of Language Model Programs for Zero-Shot Schema Matching
Nabeel Seedat, Mihaela Van Der Schaar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53791-53826
LLMs Can Reason Faster Only If We Let Them
Bilgehan Sel, Lifu Huang, Naren Ramakrishnan, Ruoxi Jia, Ming Jin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53827-53842
SEMU: Singular Value Decomposition for Efficient Machine Unlearning
Marcin Sendera, Łukasz Struski, Kamil Książek, Kryspin Musiol, Jacek Tabor, Dawid Damian Rymarczyk; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53843-53866
Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image Generation
Hoigi Seo, Wongi Jeong, Jae-Sun Seo, Se Young Chun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53867-53905
Leveraging Per-Instance Privacy for Machine Unlearning
Nazanin Mohammadi Sepahvand, Anvith Thudi, Berivan Isik, Ashmita Bhattacharyya, Nicolas Papernot, Eleni Triantafillou, Daniel M. Roy, Gintare Karolina Dziugaite; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53906-53922
Supervised Contrastive Learning from Weakly-Labeled Audio Segments for Musical Version Matching
Joan Serrà, R. Oguz Araz, Dmitry Bogdanov, Yuki Mitsufuji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53923-53939
Zebra: In-Context Generative Pretraining for Solving Parametric PDEs
Louis Serrano, Armand Kassaı̈ Koupaı̈, Thomas X Wang, Pierre Erbacher, Patrick Gallinari; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53940-53988
Doubly Robust Conformalized Survival Analysis with Right-Censored Data
Matteo Sesia, Vladimir Svetnik; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:53989-54029
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery
Pratinav Seth, Michelle Lin, Brefo Dwamena Yaw, Jade Boutot, Mary Kang, David Rolnick; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54030-54057
Scaling Test-Time Compute Without Verification or RL is Suboptimal
Amrith Setlur, Nived Rajaraman, Sergey Levine, Aviral Kumar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54058-54094
GeoPixel: Pixel Grounding Large Multimodal Model in Remote Sensing
Akashah Shabbir, Mohammed Zumri, Mohammed Bennamoun, Fahad Shahbaz Khan, Salman Khan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54095-54111
Confounder-Free Continual Learning via Recursive Feature Normalization
Yash Shah, Camila Gonzalez, Mohammad H. Abbasi, Qingyu Zhao, Kilian M. Pohl, Ehsan Adeli; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54112-54142
Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion
Kulin Shah, Alkis Kalavasis, Adam Klivans, Giannis Daras; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54143-54166
SEAD: Unsupervised Ensemble of Streaming Anomaly Detectors
Saumya Gaurang Shah, Abishek Sankararaman, Balakrishnan Murali Narayanaswamy, Vikramank Singh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54167-54185
ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans
Ashkan Shahbazi, Elaheh Akbari, Darian Salehi, Xinran Liu, Navid Naderializadeh, Soheil Kolouri; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54186-54202
LongRoPE2: Near-Lossless LLM Context Window Scaling
Ning Shang, Li Lyna Zhang, Siyuan Wang, Gaokai Zhang, Gilsinia Lopez, Fan Yang, Weizhu Chen, Mao Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54203-54218
Do Multiple Instance Learning Models Transfer?
Daniel Shao, Richard J. Chen, Andrew H. Song, Joel Runevic, Ming Y. Lu, Tong Ding, Faisal Mahmood; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54219-54238
Continuous Visual Autoregressive Generation via Score Maximization
Chenze Shao, Fandong Meng, Jie Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54239-54253
Should Decision-Makers Reveal Classifiers in Online Strategic Classification?
Han Shao, Shuo Xie, Kunhe Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54254-54274
TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning
Ron Shapira Weber, Shahar Benishay, Andrey Lavrinenko, Shahaf E. Finder, Oren Freifeld; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54275-54299
MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters
Arsalan Sharifnassab, Saber Salehkaleybar, Richard S. Sutton; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54300-54325
X-Hacking: The Threat of Misguided AutoML
Rahul Sharma, Sumantrak Mukherjee, Andrea Sipka, Eyke Hüllermeier, Sebastian Josef Vollmer, Sergey Redyuk, David Antony Selby; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54326-54363
PEINR: A Physics-enhanced Implicit Neural Representation for High-Fidelity Flow Field Reconstruction
Liming Shen, Liang Deng, Chongke Bi, Yu Wang, Xinhai Chen, Yueqing Wang, Jie Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54364-54380
Compositional Flows for 3D Molecule and Synthesis Pathway Co-design
Tony Shen, Seonghwan Seo, Ross Irwin, Kieran Didi, Simon Olsson, Woo Youn Kim, Martin Ester; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54381-54409
Active Reward Modeling: Adaptive Preference Labeling for Large Language Model Alignment
Yunyi Shen, Hao Sun, Jean-Francois Ton; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54410-54430
Bi-perspective Splitting Defense: Achieving Clean-Seed-Free Backdoor Security
Yangyang Shen, Xiao Tan, Dian Shen, Meng Wang, Beilun Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54431-54456
Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision
Li Shen, Anke Tang, Yong Luo, Tao Sun, Han Hu, Xiaochun Cao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54457-54475
Algorithms with Calibrated Machine Learning Predictions
Judy Hanwen Shen, Ellen Vitercik, Anders Wikum; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54476-54498
Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model
Fei Shen, Cong Wang, Junyao Gao, Qin Guo, Jisheng Dang, Jinhui Tang, Tat-Seng Chua; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54499-54514
Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization
Yang Shen, Xiu-Shen Wei, Yifan Sun, Yuxin Song, Tao Yuan, Jian Jin, He-Yang Xu, Yazhou Yao, Errui Ding; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54515-54558
BiAssemble: Learning Collaborative Affordance for Bimanual Geometric Assembly
Yan Shen, Ruihai Wu, Yubin Ke, Xinyuan Song, Zeyi Li, Xiaoqi Li, Hongwei Fan, Haoran Lu, Hao Dong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54559-54581
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen, Chenchen Zhu, Zechun Liu, Fanyi Xiao, Balakrishnan Varadarajan, Florian Bordes, Zhuang Liu, Hu Xu, Hyunwoo J. Kim, Bilge Soran, Raghuraman Krishnamoorthi, Mohamed Elhoseiny, Vikas Chandra; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54582-54599
Privacy-Shielded Image Compression: Defending Against Exploitation from Vision-Language Pretrained Models
Xuelin Shen, Jiayin Xu, Kangsheng Yin, Wenhan Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54600-54610
SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes
Yishan Shen, Yuyang Ye, Hui Xiong, Yong Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54611-54631
ADHMR: Aligning Diffusion-based Human Mesh Recovery via Direct Preference Optimization
Wenhao Shen, Wanqi Yin, Xiaofeng Yang, Cheng Chen, Chaoyue Song, Zhongang Cai, Lei Yang, Hao Wang, Guosheng Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54632-54643
Drug-TTA: Test-Time Adaptation for Drug Virtual Screening via Multi-task Meta-Auxiliary Learning
Ao Shen, Mingzhi Yuan, Yingfan Ma, Jie Du, Qiao Huang, Manning Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54644-54662
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
Maohao Shen, Guangtao Zeng, Zhenting Qi, Zhang-Wei Hong, Zhenfang Chen, Wei Lu, Gregory W. Wornell, Subhro Das, David Daniel Cox, Chuang Gan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54663-54700
Zero-Shot Generalization of GNNs over Distinct Attribute Domains
Yangyi Shen, Jincheng Zhou, Beatrice Bevilacqua, Joshua Robinson, Charilaos Kanatsoulis, Jure Leskovec, Bruno Ribeiro; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54701-54731
On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures
Wei Shen, Ruida Zhou, Jing Yang, Cong Shen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54732-54771
Learning Survival Distributions with the Asymmetric Laplace Distribution
Deming Sheng, Ricardo Henao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54772-54809
Counting atoms faster: policy-based nuclear magnetic resonance pulse sequencing for atomic abundance measurement
Rohan Shenoy, Evan Austen Coleman, Hans Gaensbauer, Elsa Olivetti; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54810-54824
Convergence of Policy Mirror Descent Beyond Compatible Function Approximation
Uri Sherman, Tomer Koren, Yishay Mansour; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54825-54863
Inductive Gradient Adjustment for Spectral Bias in Implicit Neural Representations
Kexuan Shi, Hai Chen, Leheng Zhang, Shuhang Gu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54864-54891
LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models
Dachuan Shi, Yonggan Fu, Xiangchi Yuan, Zhongzhi Yu, Haoran You, Sixu Li, Xin Dong, Jan Kautz, Pavlo Molchanov, Yingyan Celine Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54892-54903
Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning
Laixi Shi, Jingchu Gai, Eric Mazumdar, Yuejie Chi, Adam Wierman; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54904-54918
Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models
Lucy Xiaoyang Shi, Brian Ichter, Michael Robert Equi, Liyiming Ke, Karl Pertsch, Quan Vuong, James Tanner, Anna Walling, Haohuan Wang, Niccolo Fusai, Adrian Li-Bell, Danny Driess, Lachy Groom, Sergey Levine, Chelsea Finn; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54919-54933
Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling
Xinxing Shi, Xiaoyu Jiang, Mauricio A Álvarez; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54934-54959
Beyond Task-Specific Reasoning: A Unified Conditional Generative Framework for Abstract Visual Reasoning
Fan Shi, Bin Li, Xiangyang Xue; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54960-54980
LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos
Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Tan, Jiashi Feng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54981-54993
Targeted control of fast prototyping through domain-specific interface
Yu-Zhe Shi, Mingchen Liu, Hanlu Ma, Qiao Xu, Huamin Qu, Kun He, Lecheng Ruan, Qining Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:54994-55015
Direct Prediction Set Minimization via Bilevel Conformal Classifier Training
Yuanjie Shi, Hooman Shahrokhi, Xuesong Jia, Xiongzhi Chen, Jana Doppa, Yan Yan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55016-55045
EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification
Zitong Shi, Guancheng Wan, Wenke Huang, Guibin Zhang, He Li, Carl Yang, Mang Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55046-55064
DSBRouter: End-to-end Global Routing via Diffusion Schrödinger Bridge
Liangliang Shi, Shenhui Zhang, Xingbo Du, Nianzu Yang, Junchi Yan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55065-55081
Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling
Haebin Shin, Lei Ji, Xiao Liu, Yeyun Gong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55082-55095
Minimum Width for Universal Approximation using Squashable Activation Functions
Jonghyun Shin, Namjun Kim, Geonho Hwang, Sejun Park; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55096-55121
Online Pre-Training for Offline-to-Online Reinforcement Learning
Yongjae Shin, Jeonghye Kim, Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Youngsoo Jang, Geon-Hyeong Kim, Jongseong Chae, Youngchul Sung, Kanghoon Lee, Woohyung Lim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55122-55144
Sassha: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian Approximation
Dahun Shin, Dongyeop Lee, Jinseok Chung, Namhoon Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55145-55171
OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference
Seungjun Shin, Jaehoon Oh, Dokwan Oh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55172-55194
Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation
Juncheol Shin, Minsang Seok, Seonggon Kim, Eunhyeok Park; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55195-55204
Offline Model-based Optimization for Real-World Molecular Discovery
Dong-Hee Shin, Young-Han Son, Hyun Jung Lee, Deok-Joong Lee, Tae-Eui Kam; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55205-55254
Tokenized Bandit for LLM Decoding and Alignment
Suho Shin, Chenghao Yang, Haifeng Xu, Mohammadtaghi Hajiaghayi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55255-55282
Statistical Test for Feature Selection Pipelines by Selective Inference
Tomohiro Shiraishi, Tatsuya Matsukawa, Shuichi Nishino, Ichiro Takeuchi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55283-55302
Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions
Supratim Shit, Gurmehak Kaur Chadha, Surendra Kumar, Bapi Chatterjee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55303-55324
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani, Amir Barati Farimani, Khoa D Doan, Chandan K. Reddy; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55325-55359
Diversified Flow Matching with Translation Identifiability
Sagar Shrestha, Xiao Fu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55360-55378
Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models
Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55379-55402
Refining Adaptive Zeroth-Order Optimization at Ease
Yao Shu, Qixin Zhang, Kun He, Zhongxiang Dai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55403-55426
Predictive Data Selection: The Data That Predicts Is the Data That Teaches
Kashun Shum, Yuzhen Huang, Hongjian Zou, Qi Ding, Yixuan Liao, Xiaoxin Chen, Qian Liu, Junxian He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55427-55450
Cache Me If You Must: Adaptive Key-Value Quantization for Large Language Models
Alina Shutova, Vladimir Malinovskii, Vage Egiazarian, Denis Kuznedelev, Denis Mazur, Surkov Nikita, Ivan Ermakov, Dan Alistarh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55451-55473
Probabilistic Factorial Experimental Design for Combinatorial Interventions
Divya Shyamal, Jiaqi Zhang, Caroline Uhler; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55474-55492
CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations
Haotian Si, Changhua Pei, Jianhui Li, Dan Pei, Gaogang Xie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55493-55510
Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications
Maria Despoina Siampou, Jialiang Li, John Krumm, Cyrus Shahabi, Hua Lu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55511-55532
Variational Phylogenetic Inference with Products over Bipartitions
Evan Sidrow, Alexandre Bouchard-Cote, Lloyd T Elliott; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55533-55555
EvoPress: Accurate Dynamic Model Compression via Evolutionary Search
Oliver Sieberling, Denis Kuznedelev, Eldar Kurtic, Dan Alistarh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55556-55590
Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It
Marvin F. Da Silva, Felix Dangel, Sageev Oore; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55591-55613
Self-Organizing Visual Prototypes for Non-Parametric Representation Learning
Thalles Silva, Helio Pedrini, Adı́n Ramı́rez Rivera; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55614-55630
Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance
Marta Gentiloni Silveri, Antonio Ocello; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55631-55656
VCT: Training Consistency Models with Variational Noise Coupling
Gianluigi Silvestri, Luca Ambrogioni, Chieh-Hsin Lai, Yuhta Takida, Yuki Mitsufuji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55657-55683
Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning
Ankit Pratap Singh, Ahmed Ali Abbasi, Namrata Vaswani; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55684-55701
Avoiding spurious sharpness minimization broadens applicability of SAM
Sidak Pal Singh, Hossein Mobahi, Atish Agarwala, Yann Dauphin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55702-55719
Strategy Coopetition Explains the Emergence and Transience of In-Context Learning
Aaditya K Singh, Ted Moskovitz, Sara Dragutinović, Felix Hill, Stephanie C.Y. Chan, Andrew M Saxe; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55720-55739
Efficiently Serving Large Multimodal Models Using EPD Disaggregation
Gursimran Singh, Xinglu Wang, Yifan Hu, Timothy Tin Long Yu, Linzi Xing, Wei Jiang, Zhefeng Wang, Bai Xiaolong, Yi Li, Ying Xiong, Yong Zhang, Zhenan Fan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55740-55756
"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift
Harvineet Singh, Fan Xia, Alexej Gossmann, Andrew Chuang, Julian C. Hong, Jean Feng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55757-55787
Test-Time Canonicalization by Foundation Models for Robust Perception
Utkarsh Singhal, Ryan Feng, Stella X. Yu, Atul Prakash; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55788-55809
A General Framework for Inference-time Scaling and Steering of Diffusion Models
Raghav Singhal, Zachary Horvitz, Ryan Teehan, Mengye Ren, Zhou Yu, Kathleen Mckeown, Rajesh Ranganath; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55810-55827
Geometric Algebra Planes: Convex Implicit Neural Volumes
Irmak Sivgin, Sara Fridovich-Keil, Gordon Wetzstein, Mert Pilanci; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55828-55853
Layer by Layer: Uncovering Hidden Representations in Language Models
Oscar Skean, Md Rifat Arefin, Dan Zhao, Niket Nikul Patel, Jalal Naghiyev, Yann Lecun, Ravid Shwartz-Ziv; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55854-55875
Improving the Diffusability of Autoencoders
Ivan Skorokhodov, Sharath Girish, Benran Hu, Willi Menapace, Yanyu Li, Rameen Abdal, Sergey Tulyakov, Aliaksandr Siarohin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55876-55905
Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts
Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian, Roberto Bondesan, Alan Aspuru-Guzik, Arnaud Doucet, Rob Brekelmans, Alexander Tong, Kirill Neklyudov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55906-55949
In-Context Denoising with One-Layer Transformers: Connections between Attention and Associative Memory Retrieval
Matthew Smart, Alberto Bietti, Anirvan M. Sengupta; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55950-55971
Functional Alignment Can Mislead: Examining Model Stitching
Damian Smith, Harvey Mannering, Antonia Marcu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55972-55998
Risk-Sensitive Theory of Mind: Coordinating with Agents of Unknown Bias using Cumulative Prospect Theory
Mason O. Smith, Wenlong Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:55999-56017
Private Model Personalization Revisited
Conor Snedeker, Xinyu Zhou, Raef Bassily; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56018-56067
Conformal Prediction as Bayesian Quadrature
Jake C. Snell, Thomas L. Griffiths; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56068-56084
Nemotron-CORTEXA: Enhancing LLM Agents for Software Engineering Tasks via Improved Localization and Solution Diversity
Atefeh Sohrabizadeh, Jialin Song, Mingjie Liu, Rajarshi Roy, Chankyu Lee, Jonathan Raiman, Bryan Catanzaro; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56085-56100
Learning with Exact Invariances in Polynomial Time
Ashkan Soleymani, Behrooz Tahmasebi, Stefanie Jegelka, Patrick Jaillet; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56101-56121
Inducing, Detecting and Characterising Neural Modules: A Pipeline for Functional Interpretability in Reinforcement Learning
Anna Soligo, Pietro Ferraro, David Boyle; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56122-56147
Learning Classifiers That Induce Markets
Yonatan Sommer, Ivri Hikri, Lotan Amit, Nir Rosenfeld; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56148-56172
Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift
Seongho Son, William Bankes, Sayak Ray Chowdhury, Brooks Paige, Ilija Bogunovic; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56173-56203
LipsNet++: Unifying Filter and Controller into a Policy Network
Xujie Song, Liangfa Chen, Tong Liu, Wenxuan Wang, Yinuo Wang, Shentao Qin, Yinsong Ma, Jingliang Duan, Shengbo Eben Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56204-56241
History-Guided Video Diffusion
Kiwhan Song, Boyuan Chen, Max Simchowitz, Yilun Du, Russ Tedrake, Vincent Sitzmann; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56242-56280
Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold
Yilong Song, Peijin Li, Bin Gao, Kun Yuan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56281-56318
PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design
Zhenqiao Song, Tianxiao Li, Lei Li, Martin Renqiang Min; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56319-56336
Domain-Adapted Diffusion Model for PROTAC Linker Design Through the Lens of Density Ratio in Chemical Space
Zixing Song, Ziqiao Meng, José Miguel Hernández-Lobato; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56337-56362
Smooth Interpolation for Improved Discrete Graph Generative Models
Yuxuan Song, Juntong Shi, Jingjing Gong, Minkai Xu, Stefano Ermon, Hao Zhou, Wei-Ying Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56363-56388
Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering
Zihan Song, Xin Wang, Zi Qian, Hong Chen, Longtao Huang, Hui Xue, Wenwu Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56389-56413
Deep Unsupervised Hashing via External Guidance
Qihong Song, Xiting Liu, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Peng Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56414-56428
Learning Invariant Causal Mechanism from Vision-Language Models
Zeen Song, Siyu Zhao, Xingyu Zhang, Jiangmeng Li, Changwen Zheng, Wenwen Qiang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56429-56464
Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks
Rohit Sonker, Alexandre Capone, Andrew Rothstein, Hiro Josep Farre Kaga, Egemen Kolemen, Jeff Schneider; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56465-56479
Deep Ridgelet Transform and Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines
Sho Sonoda, Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56480-56498
PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs
Mauricio Soroco, Jialin Song, Mengzhou Xia, Kye Emond, Weiran Sun, Wuyang Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56499-56530
Learning Distances from Data with Normalizing Flows and Score Matching
Peter Sorrenson, Daniel Behrend-Uriarte, Christoph Schnoerr, Ullrich Koethe; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56531-56548
DocVXQA: Context-Aware Visual Explanations for Document Question Answering
Mohamed Ali Souibgui, Changkyu Choi, Andrey Barsky, Kangsoo Jung, Ernest Valveny, Dimosthenis Karatzas; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56549-56569
Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All
Ermis Soumalias, Jakob Heiss, Jakob Weissteiner, Sven Seuken; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56570-56614
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality
Joshua Southern, Yam Eitan, Guy Bar-Shalom, Michael M. Bronstein, Haggai Maron, Fabrizio Frasca; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56615-56649
CombiMOTS: Combinatorial Multi-Objective Tree Search for Dual-Target Molecule Generation
Thibaud Southiratn, Bonil Koo, Yijingxiu Lu, Sun Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56650-56691
An Asymptotically Optimal Approximation Algorithm for Multiobjective Submodular Maximization at Scale
Fabian Christian Spaeh, Atsushi Miyauchi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56692-56718
Overtrained Language Models Are Harder to Fine-Tune
Jacob Mitchell Springer, Sachin Goyal, Kaiyue Wen, Tanishq Kumar, Xiang Yue, Sadhika Malladi, Graham Neubig, Aditi Raghunathan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56719-56789
Online Learning with Unknown Constraints
Karthik Sridharan, Seung Won Wilson Yoo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56790-56819
The Polynomial Stein Discrepancy for Assessing Moment Convergence
Narayan Srinivasan, Matthew Sutton, Christopher Drovandi, Leah F South; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56820-56842
PaperBench: Evaluating AI’s Ability to Replicate AI Research
Giulio Starace, Oliver Jaffe, Dane Sherburn, James Aung, Jun Shern Chan, Leon Maksin, Rachel Dias, Evan Mays, Benjamin Kinsella, Wyatt Thompson, Johannes Heidecke, Amelia Glaese, Tejal Patwardhan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56843-56873
Integration-free Kernels for Equivariant Gaussian Process Modelling
Tim Steinert, David Ginsbourger, August Lykke-Møller, Ove Christiansen, Henry Moss; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56874-56898
Prediction models that learn to avoid missing values
Lena Stempfle, Anton Matsson, Newton Mwai, Fredrik D. Johansson; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56899-56919
Learning Adversarial MDPs with Stochastic Hard Constraints
Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56920-56951
Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints
Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56952-56989
LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection
Łukasz Struski, Michal B. Bednarczyk, Igor T. Podolak, Jacek Tabor; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:56990-57007
SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs
Xin Su, Man Luo, Kris W Pan, Tien Pei Chou, Vasudev Lal, Phillip Howard; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57008-57029
Multimodal Medical Code Tokenizer
Xiaorui Su, Shvat Messica, Yepeng Huang, Ruth Johnson, Lukas Fesser, Shanghua Gao, Faryad Sahneh, Marinka Zitnik; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57030-57045
A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
Junwei Su, Chuan Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57046-57083
On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks
Junwei Su, Chuan Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57084-57111
SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion
Junwei Su, Shan Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57112-57130
Reinforcement Learning with Adaptive Reward Modeling for Expensive-to-Evaluate Systems
Hongyuan Su, Yu Zheng, Yuan Yuan, Yuming Lin, Depeng Jin, Yong Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57131-57143
Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning
Dijia Su, Hanlin Zhu, Yingchen Xu, Jiantao Jiao, Yuandong Tian, Qinqing Zheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57144-57163
On the Benefits of Active Data Collection in Operator Learning
Unique Subedi, Ambuj Tewari; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57164-57190
Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function
Christopher Subich, Syed Zahid Husain, Leo Separovic, Jing Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57191-57211
A Generalization Result for Convergence in Learning-to-Optimize
Michael Sucker, Peter Ochs; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57212-57230
COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning
Chamika Sudusinghe, Gerasimos Gerogiannis, Damitha Lenadora, Charles Block, Josep Torrellas, Charith Mendis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57231-57248
A Unified Framework for Generalization Error Analysis of Learning with Arbitrary Discrete Weak Features
Kosuke Sugiyama, Masato Uchida; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57249-57269
Unified Analysis of Continuous Weak Features Learning with Applications to Learning from Missing Data
Kosuke Sugiyama, Masato Uchida; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57270-57310
Tracking Most Significant Shifts in Infinite-Armed Bandits
Joe Suk, Jung-Hun Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57311-57335
Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction
Yadong Sun, Xiaofeng Cao, Ivor Tsang, Heng Tao Shen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57336-57354
ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference
Hanshi Sun, Li-Wen Chang, Wenlei Bao, Size Zheng, Ningxin Zheng, Xin Liu, Harry Dong, Yuejie Chi, Beidi Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57355-57373
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport
Mingyang Sun, Pengxiang Ding, Weinan Zhang, Donglin Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57374-57390
Directed Graph Grammars for Sequence-based Learning
Michael Sun, Orion Foo, Gang Liu, Wojciech Matusik, Jie Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57391-57418
Wait-Less Offline Tuning and Re-solving for Online Decision Making
Jingruo Sun, Wenzhi Gao, Ellen Vitercik, Yinyu Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57419-57449
Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency
Zexu Sun, Qiyu Han, Hao Yang, Anpeng Wu, Minqin Zhu, Dugang Liu, Chen Ma, Yunpeng Weng, Xing Tang, Xiuqiang He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57450-57468
Is Noise Conditioning Necessary for Denoising Generative Models?
Qiao Sun, Zhicheng Jiang, Hanhong Zhao, Kaiming He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57469-57502
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57503-57522
CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging
Wenju Sun, Qingyong Li, Yangliao Geng, Boyang Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57523-57543
Scaling Laws for Floating–Point Quantization Training
Xingwu Sun, Shuaipeng Li, Ruobing Xie, Weidong Han, Kan Wu, Zhen Yang, Yixing Li, An Wang, Shuai Li, Jinbao Xue, Yu Cheng, Yangyu Tao, Zhanhui Kang, Cheng-Zhong Xu, Di Wang, Jie Jiang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57544-57570
Task-Gated Multi-Expert Collaboration Network for Degraded Multi-Modal Image Fusion
Yiming Sun, Xin Li, Pengfei Zhu, Qinghua Hu, Dongwei Ren, Huiying Xu, Xinzhong Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57571-57586
FlatQuant: Flatness Matters for LLM Quantization
Yuxuan Sun, Ruikang Liu, Haoli Bai, Han Bao, Kang Zhao, Yuening Li, Jiaxin Hu, Xianzhi Yu, Lu Hou, Chun Yuan, Xin Jiang, Wulong Liu, Jun Yao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57587-57613
Spherical-Nested Diffusion Model for Panoramic Image Outpainting
Xiancheng Sun, Senmao Ma, Shengxi Li, Mai Xu, Jingyuan Xia, Lai Jiang, Xin Deng, Jiali Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57614-57630
Beyond Confidence: Exploiting Homogeneous Pattern for Semi-Supervised Semantic Segmentation
Rui Sun, Huayu Mai, Wangkai Li, Yujia Chen, Naisong Luo, Yuan Wang, Tianzhu Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57631-57650
Average Certified Radius is a Poor Metric for Randomized Smoothing
Chenhao Sun, Yuhao Mao, Mark Niklas Mueller, Martin Vechev; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57651-57666
DS-VLM: Diffusion Supervision Vision Language Model
Zhen Sun, Yunhang Shen, Jie Li, Xing Sun, Pingyang Dai, Liujuan Cao, Rongrong Ji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57667-57679
FlexiReID: Adaptive Mixture of Expert for Multi-Modal Person Re-Identification
Zhen Sun, Lei Tan, Yunhang Shen, Chengmao Cai, Xing Sun, Pingyang Dai, Liujuan Cao, Rongrong Ji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57680-57693
AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration
Wenhao Sun, Rong-Cheng Tu, Jingyi Liao, Zhao Jin, Dacheng Tao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57694-57711
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models
Mengyang Sun, Yihao Wang, Tao Feng, Dan Zhang, Yifan Zhu, Jie Tang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57712-57727
The Emperor’s New Clothes in Benchmarking? A Rigorous Examination of Mitigation Strategies for LLM Benchmark Data Contamination
Yifan Sun, Han Wang, Dongbai Li, Gang Wang, Huan Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57728-57753
Improved Lower Bounds for First-order Stochastic Non-convex Optimization under Markov Sampling
Zhenyu Sun, Ermin Wei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57754-57772
Earley-Driven Dynamic Pruning for Efficient Structured Decoding
Xintong Sun, Chi Wei, Minghao Tian, Shiwen Ni; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57773-57789
Right Time to Learn: Promoting Generalization via Bio-inspired Spacing Effect in Knowledge Distillation
Guanglong Sun, Hongwei Yan, Liyuan Wang, Qian Li, Bo Lei, Yi Zhong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57790-57807
video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model
Guangzhi Sun, Yudong Yang, Jimin Zhuang, Changli Tang, Yixuan Li, Wei Li, Zejun Ma, Chao Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57808-57827
A Sample Efficient Conditional Independence Test in the Presence of Discretization
Boyang Sun, Yu Yao, Xinshuai Dong, Zongfang Liu, Tongliang Liu, Yumou Qiu, Kun Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57828-57853
Idiosyncrasies in Large Language Models
Mingjie Sun, Yida Yin, Zhiqiu Xu, J Zico Kolter, Zhuang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57854-57885
Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages
Michael Sun, Weize Yuan, Gang Liu, Wojciech Matusik, Jie Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57886-57937
CASE-Bench: Context-Aware SafEty Benchmark for Large Language Models
Guangzhi Sun, Xiao Zhan, Shutong Feng, Phil Woodland, Jose Such; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57938-57960
Sample-specific Noise Injection for Diffusion-based Adversarial Purification
Yuhao Sun, Jiacheng Zhang, Zesheng Ye, Chaowei Xiao, Feng Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57961-57983
Parrot: Multilingual Visual Instruction Tuning
Hai-Long Sun, Da-Wei Zhou, Yang Li, Shiyin Lu, Chao Yi, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57984-58007
Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection
Anirudh Sundara Rajan, Yong Jae Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58008-58028
Adaptive Partitioning Schemes for Optimistic Optimization
Raja Sunkara, Ardhendu Tripathy; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58029-58064
Identifying Metric Structures of Deep Latent Variable Models
Stas Syrota, Yevgen Zainchkovskyy, Johnny Xi, Benjamin Bloem-Reddy, Søren Hauberg; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58065-58087
No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks
Attila Szász, Balázs Bánhelyi, Márk Jelasity; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58088-58105
Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
Filip Szatkowski, Yaoyue Zheng, Fei Yang, Tomasz Trzcinski, Bartłomiej Twardowski, Joost Van De Weijer; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58106-58141
Features are fate: a theory of transfer learning in high-dimensional regression
Javan Tahir, Surya Ganguli, Grant M. Rotskoff; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58142-58168
Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs
Wenxin Tai, Ting Zhong, Goce Trajcevski, Fan Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58169-58188
Selective Response Strategies for GenAI
Boaz Taitler, Omer Ben-Porat; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58189-58226
Training a Generally Curious Agent
Fahim Tajwar, Yiding Jiang, Abitha Thankaraj, Sumaita Sadia Rahman, J Zico Kolter, Jeff Schneider, Russ Salakhutdinov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58227-58281
Physics-Informed Weakly Supervised Learning For Interatomic Potentials
Makoto Takamoto, Viktor Zaverkin, Mathias Niepert; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58282-58310
Instance-Optimal Pure Exploration for Linear Bandits on Continuous Arms
Sho Takemori, Yuhei Umeda, Aditya Gopalan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58311-58338
Distributionally Robust Active Learning for Gaussian Process Regression
Shion Takeno, Yoshito Okura, Yu Inatsu, Aoyama Tatsuya, Tomonari Tanaka, Akahane Satoshi, Hiroyuki Hanada, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58339-58358
Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization
Yuki Takezawa, Xiaowen Jiang, Anton Rodomanov, Sebastian U Stich; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58359-58405
Towards Learning to Complete Anything in Lidar
Ayça Takmaz, Cristiano Saltori, Neehar Peri, Tim Meinhardt, Riccardo De Lutio, Laura Leal-Taixé, Aljosa Osep; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58406-58430
Neutral residues: revisiting adapters for model extension
Franck Signe Talla, Edouard Grave, Herve Jegou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58431-58447
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
Jacopo Talpini, Marco Savi, Giovanni Neglia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58448-58466
Scalable Equilibrium Sampling with Sequential Boltzmann Generators
Charlie B. Tan, Joey Bose, Chen Lin, Leon Klein, Michael M. Bronstein, Alexander Tong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58467-58498
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings
Rong-Xi Tan, Ming Chen, Ke Xue, Yao Wang, Yaoyuan Wang, Fu Sheng, Chao Qian; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58499-58544
Actor-Critics Can Achieve Optimal Sample Efficiency
Kevin Tan, Wei Fan, Yuting Wei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58545-58590
$S^2$FGL: Spatial Spectral Federated Graph Learning
Zihan Tan, Suyuan Huang, Guancheng Wan, Wenke Huang, He Li, Mang Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58591-58602
BoxLM: Unifying Structures and Semantics of Medical Concepts for Diagnosis Prediction in Healthcare
Yanchao Tan, Hang Lv, Yunfei Zhan, Guofang Ma, Bo Xiong, Carl Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58603-58620
WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models
Songbai Tan, Xuerui Qiu, Yao Shu, Gang Xu, Linrui Xu, Xiangyu Xu, Huiping Zhuang, Ming Li, Fei Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58621-58636
Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs
Bowen Tan, Zheng Xu, Eric Xing, Zhiting Hu, Shanshan Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58637-58657
Cradle: Empowering Foundation Agents towards General Computer Control
Weihao Tan, Wentao Zhang, Xinrun Xu, Haochong Xia, Ziluo Ding, Boyu Li, Bohan Zhou, Junpeng Yue, Jiechuan Jiang, Yewen Li, Ruyi An, Molei Qin, Chuqiao Zong, Longtao Zheng, Yujie Wu, Xiaoqiang Chai, Yifei Bi, Tianbao Xie, Pengjie Gu, Xiyun Li, Ceyao Zhang, Long Tian, Chaojie Wang, Xinrun Wang, Börje F. Karlsson, Bo An, Shuicheng Yan, Zongqing Lu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58658-58725
Vision-Language Model Selection and Reuse for Downstream Adaptation
Hao-Zhe Tan, Zhi Zhou, Yu-Feng Li, Lan-Zhe Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58726-58738
Reflection-Window Decoding: Text Generation with Selective Refinement
Zeyu Tang, Zhenhao Chen, Xiangchen Song, Loka Li, Yunlong Deng, Yifan Shen, Guangyi Chen, Peter Spirtes, Kun Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58739-58764
Learning Single Index Models with Diffusion Priors
Anqi Tang, Youming Chen, Shuchen Xue, Zhaoqiang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58765-58788
Learning Monotonic Probabilities with a Generative Cost Model
Yongxiang Tang, Yanhua Cheng, Xiaocheng Liu, Chenchen Jiao, Yanxiang Zeng, Ning Luo, Pengjia Yuan, Xialong Liu, Peng Jiang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58789-58804
Investigating the Overlooked Hessian Structure: From CNNs to LLMs
Qian-Yuan Tang, Yufei Gu, Yunfeng Cai, Mingming Sun, Ping Li, Zhou Xun, Zeke Xie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58805-58831
Concentration Distribution Learning from Label Distributions
Jiawei Tang, Yuheng Jia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58832-58841
Robust Offline Reinforcement Learning with Linearly Structured $f$-Divergence Regularization
Cheng Tang, Zhishuai Liu, Pan Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58842-58882
Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn
Hongyao Tang, Johan Obando-Ceron, Pablo Samuel Castro, Aaron Courville, Glen Berseth; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58883-58904
Inference-Time Alignment of Diffusion Models with Direct Noise Optimization
Zhiwei Tang, Jiangweizhi Peng, Jiasheng Tang, Mingyi Hong, Fan Wang, Tsung-Hui Chang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58905-58930
Efficient Heterogeneity-Aware Federated Active Data Selection
Ying-Peng Tang, Chao Ren, Xiaoli Tang, Sheng-Jun Huang, Lizhen Cui, Han Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58931-58943
LOGO — Long cOntext aliGnment via efficient preference Optimization
Zecheng Tang, Zechen Sun, Juntao Li, Qiaoming Zhu, Min Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58944-58968
Controllable Data Generation with Hierarchical Neural Representations
Sheyang Tang, Xiaoyu Xu, Jiayan Qiu, Zhou Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58969-58988
Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model
Kaiwen Tang, Zhanglu Yan, Weng-Fai Wong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58989-59004
Multi-Session Budget Optimization for Forward Auction-based Federated Learning
Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59005-59016
PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion
Sophia Tang, Yinuo Zhang, Pranam Chatterjee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59017-59065
Optimizing Language Models for Inference Time Objectives using Reinforcement Learning
Yunhao Tang, Kunhao Zheng, Gabriel Synnaeve, Remi Munos; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59066-59085
S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking
Tao Tang, Lijun Zhou, Pengkun Hao, Zihang He, Kalok Ho, Shuo Gu, Zhihui Hao, Haiyang Sun, Kun Zhan, Peng Jia, Xianpeng Lang, Xiaodan Liang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59086-59102
(How) Can Transformers Predict Pseudo-Random Numbers?
Tao Tao, Darshil Doshi, Dayal Singh Kalra, Tianyu He, Maissam Barkeshli; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59103-59131
Unisoma: A Unified Transformer-based Solver for Multi-Solid Systems
Shilong Tao, Zhe Feng, Haonan Sun, Zhanxing Zhu, Yunhuai Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59132-59153
Explainable Concept Generation through Vision-Language Preference Learning for Understanding Neural Networks’ Internal Representations
Aditya Taparia, Som Sagar, Ransalu Senanayake; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59154-59181
Deep Bayesian Filter for Bayes-Faithful Data Assimilation
Yuta Tarumi, Keisuke Fukuda, Shin-Ichi Maeda; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59182-59209
Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks
Nurbek Tastan, Samuel Horváth, Karthik Nandakumar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59210-59236
A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems
Manan Tayal, Aditya Singh, Shishir Kolathaya, Somil Bansal; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59237-59258
Geometric Contact Flows: Contactomorphisms for Dynamics and Control
Andrea Testa, Søren Hauberg, Tamim Asfour, Leonel Rozo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59259-59284
Harnessing Heterogeneous Statistical Strength for Personalized Federated Learning via Hierarchical Bayesian Inference
Mahendra Singh Thapa, Rui Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59285-59303
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment
Harrish Thasarathan, Julian Forsyth, Thomas Fel, Matthew Kowal, Konstantinos G. Derpanis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59304-59325
WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs
Lukas Thede, Karsten Roth, Matthias Bethge, Zeynep Akata, Thomas Hartvigsen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59326-59354
Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-Wolfe Method
Kiran Koshy Thekumparampil, Gaurush Hiranandani, Kousha Kalantari, Shoham Sabach, Branislav Kveton; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59355-59376
What can large language models do for sustainable food?
Anna Thomas, Adam Yee, Andrew Mayne, Maya B. Mathur, Dan Jurafsky, Kristina Gligorić; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59377-59433
Hidden No More: Attacking and Defending Private Third-Party LLM Inference
Rahul Krishna Thomas, Louai Zahran, Erica Choi, Akilesh Potti, Micah Goldblum, Arka Pal; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59434-59469
NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel
Gabriel Thompson, Kai Yue, Chau-Wai Wong, Huaiyu Dai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59470-59491
MixMin: Finding Data Mixtures via Convex Minimization
Anvith Thudi, Evianne Rovers, Yangjun Ruan, Tristan Thrush, Chris J. Maddison; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59492-59508
Optimal transport-based conformal prediction
Gauthier Thurin, Kimia Nadjahi, Claire Boyer; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59509-59527
Selective Prompt Anchoring for Code Generation
Yuan Tian, Tianyi Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59528-59551
On Teacher Hacking in Language Model Distillation
Daniil Tiapkin, Daniele Calandriello, Johan Ferret, Sarah Perrin, Nino Vieillard, Alexandre Rame, Mathieu Blondel; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59552-59569
Learnable Spatial-Temporal Positional Encoding for Link Prediction
Katherine Tieu, Dongqi Fu, Zihao Li, Ross Maciejewski, Jingrui He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59570-59597
Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies
Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Gaurav Jain, Oren Pereg, Moshe Wasserblat, David Harel; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59598-59620
New Bounds for Sparse Variational Gaussian Processes
Michalis Titsias; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59621-59638
Latent Mamba Operator for Partial Differential Equations
Karn Tiwari, Niladri Dutta, N M Anoop Krishnan, Prathosh Ap; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59639-59667
QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache
Rishabh Tiwari, Haocheng Xi, Aditya Tomar, Coleman Richard Charles Hooper, Sehoon Kim, Maxwell Horton, Mahyar Najibi, Michael W. Mahoney, Kurt Keutzer, Amir Gholami; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59668-59686
LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation
Piyush Tiwary, Kinjawl Bhattacharyya, Prathosh Ap; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59687-59722
Understanding the Emergence of Multimodal Representation Alignment
Megan Tjandrasuwita, Chanakya Ekbote, Liu Ziyin, Paul Pu Liang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59723-59760
Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift
Nguyen Nhat Minh To, Paul F R Wilson, Viet Nguyen, Mohamed Harmanani, Michael Cooper, Fahimeh Fooladgar, Purang Abolmaesumi, Parvin Mousavi, Rahul Krishnan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59761-59783
Understanding Chain-of-Thought in LLMs through Information Theory
Jean-Francois Ton, Muhammad Faaiz Taufiq, Yang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59784-59811
Non-Asymptotic and Non-Lipschitzian Bounds on Optimal Values in Stochastic Optimization Under Heavy Tails
Jindong Tong, Hongcheng Liu, Johannes O. Royset; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59812-59828
Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation
Jintao Tong, Ran Ma, Yixiong Zou, Guangyao Chen, Yuhua Li, Ruixuan Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59829-59845
Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data
Yunze Tong, Fengda Zhang, Zihao Tang, Kaifeng Gao, Kai Huang, Pengfei Lyu, Jun Xiao, Kun Kuang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59846-59866
Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation
Jintao Tong, Yixiong Zou, Guangyao Chen, Yuhua Li, Ruixuan Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59867-59882
Accelerating Spectral Clustering under Fairness Constraints
Francesco Tonin, Alex Lambert, Johan Suykens, Volkan Cevher; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59883-59903
ADIOS: Antibody Development via Opponent Shaping
Sebastian Rene Towers, Aleksandra Kalisz, Philippe A. Robert, Alicia Higueruelo, Francesca Vianello, Chloe Ming-Han Tsai, Harrison Steel, Jakob Nicolaus Foerster; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59904-59923
Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants
Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar, Negar Kiyavash, Mathias Drton; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59924-59944
Identifying Causal Direction via Variational Bayesian Compression
Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59945-59968
Tree-Sliced Wasserstein Distance: A Geometric Perspective
Hoang V. Tran, Huyen Trang Pham, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh Chu, Tam Le, Tan Minh Nguyen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:59969-60000
Tree-Sliced Wasserstein Distance with Nonlinear Projection
Thanh Tran, Hoang V. Tran, Thanh Chu, Huyen Trang Pham, Laurent El Ghaoui, Tam Le, Tan Minh Nguyen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60001-60033
Variance-Reduced Forward-Reflected-Backward Splitting Methods for Nonmonotone Generalized Equations
Quoc Tran-Dinh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60034-60071
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making
Stelios Triantafyllou, Aleksa Sukovic, Yasaman Zolfimoselo, Goran Radanovic; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60072-60098
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
Patara Trirat, Wonyong Jeong, Sung Ju Hwang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60099-60146
Fundamental limits of learning in sequence multi-index models and deep attention networks: high-dimensional asymptotics and sharp thresholds
Emanuele Troiani, Hugo Cui, Yatin Dandi, Florent Krzakala, Lenka Zdeborova; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60147-60182
RepLoRA: Reparameterizing Low-rank Adaptation via the Perspective of Mixture of Experts
Tuan Truong, Chau Nguyen, Huy Nguyen, Minh Le, Trung Le, Nhat Ho; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60183-60217
Improving Generalization with Flat Hilbert Bayesian Inference
Tuan Truong, Quyen Tran, Ngoc-Quan Pham, Nhat Ho, Dinh Phung, Trung Le; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60218-60237
Reliable and Efficient Amortized Model-based Evaluation
Sang T. Truong, Yuheng Tu, Percy Liang, Bo Li, Sanmi Koyejo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60238-60265
MuseControlLite: Multifunctional Music Generation with Lightweight Conditioners
Fang-Duo Tsai, Shih-Lun Wu, Weijaw Lee, Sheng-Ping Yang, Bo-Rui Chen, Hao-Chung Cheng, Yi-Hsuan Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60266-60279
Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
Gabriel Tseng, Anthony Fuller, Marlena Reil, Henry Herzog, Patrick Beukema, Favyen Bastani, James R Green, Evan Shelhamer, Hannah Kerner, David Rolnick; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60280-60300
Set Valued Predictions For Robust Domain Generalization
Ron Tsibulsky, Daniel Nevo, Uri Shalit; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60301-60335
On the Impact of Performative Risk Minimization for Binary Random Variables
Nikita Tsoy, Ivan Kirev, Negin Rahimiyazdi, Nikola Konstantinov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60336-60361
Ranked from Within: Ranking Large Multimodal Models Without Labels
Weijie Tu, Weijian Deng, Dylan Campbell, Yu Yao, Jiyang Zheng, Tom Gedeon, Tongliang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60362-60384
Subgoal-Guided Policy Heuristic Search with Learned Subgoals
Jake Tuero, Michael Buro, Levi Lelis; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60385-60403
SafeArena: Evaluating the Safety of Autonomous Web Agents
Ada Defne Tur, Nicholas Meade, Xing Han Lù, Alejandra Zambrano, Arkil Patel, Esin Durmus, Spandana Gella, Karolina Stanczak, Siva Reddy; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60404-60441
The Batch Complexity of Bandit Pure Exploration
Adrienne Tuynman, Rémy Degenne; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60442-60468
Dynamic Sparse Training of Diagonally Sparse Networks
Abhishek Tyagi, Arjun Iyer, William H Renninger, Christopher Kanan, Yuhao Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60469-60492
Toward a Unified Theory of Gradient Descent under Generalized Smoothness
Alexander Tyurin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60493-60514
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design
Masatoshi Uehara, Xingyu Su, Yulai Zhao, Xiner Li, Aviv Regev, Shuiwang Ji, Sergey Levine, Tommaso Biancalani; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60515-60529
Propagate and Inject: Revisiting Propagation-Based Feature Imputation for Graphs with Partially Observed Features
Daeho Um, Sunoh Kim, Jiwoong Park, Jongin Lim, Seong Jin Ahn, Seulki Park; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60530-60560
Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation
Soobin Um, Beomsu Kim, Jong Chul Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60561-60589
Online Curvature-Aware Replay: Leveraging $\mathbf2^nd$ Order Information for Online Continual Learning
Edoardo Urettini, Antonio Carta; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60590-60609
Does Data Scaling Lead to Visual Compositional Generalization?
Arnas Uselis, Andrea Dittadi, Seong Joon Oh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60610-60634
Predicting High-precision Depth on Low-Precision Devices Using 2D Hilbert Curves
Mykhail Uss, Ruslan Yermolenko, Oleksii Shashko, Olena Kolodiazhna, Ivan Safonov, Volodymyr Savin, Yoonjae Yeo, Seowon Ji, Jaeyun Jeong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60635-60656
A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization
Muhammed Ustaomeroglu, Guannan Qu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60657-60710
Clustering via Self-Supervised Diffusion
Roy Uziel, Irit Chelly, Oren Freifeld, Ari Pakman; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60711-60726
What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models
Keyon Vafa, Peter G. Chang, Ashesh Rambachan, Sendhil Mullainathan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60727-60747
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction
Lars Van Der Laan, Ahmed Alaa; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60748-60763
Algorithm Development in Neural Networks: Insights from the Streaming Parity Task
Loek Van Rossem, Andrew M Saxe; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60764-60791
Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space
Max Van Spengler, Pascal Mettes; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60792-60815
When to Forget? Complexity Trade-offs in Machine Unlearning
Martin Van Waerebeke, Marco Lorenzi, Giovanni Neglia, Kevin Scaman; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60816-60832
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
Moritz Vandenhirtz, Julia E Vogt; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60833-60856
Dimension-Independent Rates for Structured Neural Density Estimation
Robert A. Vandermeulen, Wai Ming Tai, Bryon Aragam; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60857-60879
AutoCATE: End-to-End, Automated Treatment Effect Estimation
Toon Vanderschueren, Tim Verdonck, Mihaela Van Der Schaar, Wouter Verbeke; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60880-60904
Rapid Overfitting of Multi-Pass SGD in Stochastic Convex Optimization
Shira Vansover-Hager, Tomer Koren, Roi Livni; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60905-60923
Learning In-context $n$-grams with Transformers: Sub-$n$-grams Are Near-Stationary Points
Aditya Varre, Gizem Yüce, Nicolas Flammarion; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60924-60963
Teaching Transformers Causal Reasoning through Axiomatic Training
Aniket Vashishtha, Abhinav Kumar, Atharva Pandey, Abbavaram Gowtham Reddy, Kabir Ahuja, Vineeth N. Balasubramanian, Amit Sharma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60964-60983
Covered Forest: Fine-grained generalization analysis of graph neural networks
Antonis Vasileiou, Ben Finkelshtein, Floris Geerts, Ron Levie, Christopher Morris; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:60984-61034
Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster
Sharan Vaswani, Reza Babanezhad Harikandeh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61035-61070
Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis
Christophe Vauthier, Anna Korba, Quentin Mérigot; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61071-61107
Canonical Rank Adaptation: An Efficient Fine-Tuning Strategy for Vision Transformers
Lokesh Veeramacheneni, Moritz Wolter, Hilde Kuehne, Juergen Gall; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61108-61125
Approximate Forest Completion and Learning-Augmented Algorithms for Metric Minimum Spanning Trees
Nate Veldt, Thomas Stanley, Benjamin W Priest, Trevor Steil, Keita Iwabuchi, T.S. Jayram, Geoffrey Sanders; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61126-61149
PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models
Alejandro Velez-Arce, Marinka Zitnik; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61150-61189
Softmax is not Enough (for Sharp Size Generalisation)
Petar Veličković, Christos Perivolaropoulos, Federico Barbero, Razvan Pascanu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61190-61211
Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models
Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61212-61239
Automated Benchmark Generation for Repository-Level Coding Tasks
Konstantinos Vergopoulos, Mark Niklas Mueller, Martin Vechev; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61240-61265
Improving Diversity in Language Models: When Temperature Fails, Change the Loss
Alexandre Verine, Florian Le Bronnec, Kunhao Zheng, Alexandre Allauzen, Yann Chevaleyre, Benjamin Negrevergne; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61266-61300
GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated Code
Samidha Verma, Arushi Goyal, Ananya Mathur, Ankit Anand, Sayan Ranu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61301-61322
Positional Encoding meets Persistent Homology on Graphs
Yogesh Verma, Amauri H Souza, Vikas K Garg; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61323-61343
BaxBench: Can LLMs Generate Correct and Secure Backends?
Mark Vero, Niels Mündler, Victor Chibotaru, Veselin Raychev, Maximilian Baader, Nikola Jovanović, Jingxuan He, Martin Vechev; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61344-61390
From Language Models over Tokens to Language Models over Characters
Tim Vieira, Benjamin Lebrun, Mario Giulianelli, Juan Luis Gastaldi, Brian Dusell, John Terilla, Timothy J. O’Donnell, Ryan Cotterell; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61391-61412
Language Models over Canonical Byte-Pair Encodings
Tim Vieira, Tianyu Liu, Clemente Pasti, Yahya Emara, Brian Dusell, Benjamin Lebrun, Mario Giulianelli, Juan Luis Gastaldi, Timothy J. O’Donnell, Ryan Cotterell; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61413-61443
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic
Stefano Viel, Luca Viano, Volkan Cevher; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61444-61479
Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
David Vigouroux, Joseba Dalmau, Louis Béthune, Victor Boutin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61480-61497
AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation
Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan, Vandana Mukherjee, Xin Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61498-61512
Flexibility-conditioned protein structure design with flow matching
Vsevolod Viliuga, Leif Seute, Nicolas Wolf, Simon Wagner, Arne Elofsson, Jan Stühmer, Frauke Gräter; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61513-61533
PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning
Angel Villar-Corrales, Sven Behnke; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61534-61563
Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows
Gabriele Visentin, Patrick Cheridito; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61564-61581
Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL
Harit Vishwakarma, Yi Chen, Satya Sai Srinath Namburi Gnvv, Sui Jiet Tay, Ramya Korlakai Vinayak, Frederic Sala; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61582-61600
Prune ’n Predict: Optimizing LLM Decision-making with Conformal Prediction
Harit Vishwakarma, Alan Mishler, Thomas Cook, Niccolo Dalmasso, Natraj Raman, Sumitra Ganesh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61601-61634
What Makes a Good Feedforward Computational Graph?
Alex Vitvitskyi, João Guilherme Madeira Araújo, Marc Lackenby, Petar Veličković; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61635-61651
B-score: Detecting biases in large language models using response history
An Vo, Mohammad Reza Taesiri, Daeyoung Kim, Anh Totti Nguyen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61652-61688
Equivariant Polynomial Functional Networks
Thieu Vo, Hoang V. Tran, Tho Tran Huu, An Nguyen The, Thanh Tran, Minh-Khoi Nguyen-Nhat, Duy-Tung Pham, Tan Minh Nguyen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61689-61744
Calibrated Value-Aware Model Learning with Probabilistic Environment Models
Claas A Voelcker, Anastasiia Pedan, Arash Ahmadian, Romina Abachi, Igor Gilitschenski, Amir-Massoud Farahmand; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61745-61768
Feature Importance Metrics in the Presence of Missing Data
Henrik Von Kleist, Joshua Wendland, Ilya Shpitser, Carsten Marr; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61769-61789
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
Julius von Rohrscheidt, Bastian Rieck; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61790-61809
Generalized Interpolating Discrete Diffusion
Dimitri Von Rütte, Janis Fluri, Yuhui Ding, Antonio Orvieto, Bernhard Schölkopf, Thomas Hofmann; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61810-61843
Topological Signatures of Adversaries in Multimodal Alignments
Minh N. Vu, Geigh Zollicoffer, Huy Mai, Ben Nebgen, Boian Alexandrov, Manish Bhattarai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61844-61867
MiraGe: Editable 2D Images using Gaussian Splatting
Joanna Waczynska, Tomasz Szczepanik, Piotr Borycki, Slawomir Tadeja, Thomas Bohné, Przemysław Spurek; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61868-61884
Behavioral Exploration: Learning to Explore via In-Context Adaptation
Andrew Wagenmaker, Zhiyuan Zhou, Sergey Levine; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61885-61912
Rethink GraphODE Generalization within Coupled Dynamical System
Guancheng Wan, Zijie Huang, Wanjia Zhao, Xiao Luo, Yizhou Sun, Wei Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61913-61928
EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph
Guancheng Wan, Zewen Liu, Xiaojun Shan, Max Sy Lau, B. Aditya Prakash, Wei Jin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61929-61941
PipeOffload: Improving Scalability of Pipeline Parallelism with Memory Optimization
Xinyi Wan, Penghui Qi, Guangxing Huang, Min Lin, Jialin Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61942-61955
Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters
Hongyi Wan, Shiyuan Ren, Wei Huang, Miao Zhang, Xiang Deng, Yixin Bao, Liqiang Nie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:61956-62019
Elucidating Flow Matching ODE Dynamics via Data Geometry and Denoisers
Zhengchao Wan, Qingsong Wang, Gal Mishne, Yusu Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62020-62083
Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection
Zhijing Wan, Zhixiang Wang, Zheng Wang, Xin Xu, Shin’Ichi Satoh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62084-62101
Think Twice, Act Once: A Co-Evolution Framework of LLM and RL for Large-Scale Decision Making
Xu Wan, Wenyue Xu, Chao Yang, Mingyang Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62102-62120
Probabilistic Group Mask Guided Discrete Optimization for Incremental Learning
Fengqiang Wan, Yang Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62121-62134
Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity
Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Yew-Soon Ong, Ivor Tsang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62135-62154
Action Dubber: Timing Audible Actions via Inflectional Flow
Wenlong Wan, Weiying Zheng, Tianyi Xiang, Guiqing Li, Shengfeng He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62155-62171
Schwarz–Schur Involution: Lightspeed Differentiable Sparse Linear Solvers
Yu Wang, Mazdak Abulnaga, Yaël Balbastre, Bruce Fischl; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62172-62221
How to set AdamW’s weight decay as you scale model and dataset size
Xi Wang, Laurence Aitchison; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62222-62250
Backdoor Attacks in Token Selection of Attention Mechanism
Yunjuan Wang, Raman Arora; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62251-62296
Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization
Shiyu Wang, Mariam Avagyan, Yihan Shen, Arnaud Lamy, Tingran Wang, Szabolcs Marka, Zsuzsanna Marka, John Wright; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62297-62344
Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding
Ziyao Wang, Muneeza Azmat, Ang Li, Raya Horesh, Mikhail Yurochkin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62345-62356
Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin
Yuchen Wang, Xuefeng Bai, Xiucheng Li, Weili Guan, Liqiang Nie, Xinyang Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62357-62372
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
Jie Wang, March Boedihardjo, Yao Xie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62373-62400
Riemannian Diffusion Adaptation for Distributed Optimization on Manifolds
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Ali H. Sayed; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62401-62422
TruthFlow: Truthful LLM Generation via Representation Flow Correction
Hanyu Wang, Bochuan Cao, Yuanpu Cao, Jinghui Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62423-62444
Federated Causal Structure Learning with Non-identical Variable Sets
Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62445-62466
A Manifold Perspective on the Statistical Generalization of Graph Neural Networks
Zhiyang Wang, Juan Cervino, Alejandro Ribeiro; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62467-62504
Learning Event Completeness for Weakly Supervised Video Anomaly Detection
Yu Wang, Shiwei Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62505-62517
Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization
Xiuyuan Wang, Chaochao Chen, Weiming Liu, Xinting Liao, Fan Wang, Xiaolin Zheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62518-62528
MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation
Jiawen Wang, Yinda Chen, Xiaoyu Liu, Che Liu, Dong Liu, Jianqing Gao, Zhiwei Xiong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62529-62554
How to Evaluate and Mitigate IP Infringement in Visual Generative AI?
Zhenting Wang, Chen Chen, Vikash Sehwag, Minzhou Pan, Lingjuan Lyu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62555-62574
Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning
Hao Wang, Zhichao Chen, Haotian Wang, Yanchao Tan, Licheng Pan, Tianqiao Liu, Xu Chen, Haoxuan Li, Zhouchen Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62575-62595
FrameBridge: Improving Image-to-Video Generation with Bridge Models
Yuji Wang, Zehua Chen, Chen Xiaoyu, Yixiang Wei, Jun Zhu, Jianfei Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62596-62626
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62627-62651
WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction
Fanmeng Wang, Minjie Cheng, Hongteng Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62652-62671
CodeSync: Synchronizing Large Language Models with Dynamic Code Evolution at Scale
Chenlong Wang, Zhaoyang Chu, Zhengxiang Cheng, Xuyi Yang, Kaiyue Qiu, Yao Wan, Zhou Zhao, Xuanhua Shi, Hai Jin, Dongping Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62672-62700
On Understanding Attention-Based In-Context Learning for Categorical Data
Aaron T Wang, William Convertino, Xiang Cheng, Ricardo Henao, Lawrence Carin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62701-62728
Sampling from Binary Quadratic Distributions via Stochastic Localization
Chenguang Wang, Kaiyuan Cui, Weichen Zhao, Tianshu Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62729-62760
Guided Structural Inference: Leveraging Priors with Soft Gating Mechanisms
Aoran Wang, Xinnan Dai, Jun Pang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62761-62783
Compositional Scene Understanding through Inverse Generative Modeling
Yanbo Wang, Justin Dauwels, Yilun Du; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62784-62803
Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules
Tian-Zuo Wang, Wen-Bo Du, Zhi-Hua Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62804-62824
GTR: A General, Multi-View, and Dynamic Framework for Trajectory Representation Learning
Xiangheng Wang, Ziquan Fang, Chenglong Huang, Danlei Hu, Lu Chen, Yunjun Gao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62825-62844
DyPolySeg: Taylor Series-Inspired Dynamic Polynomial Fitting Network for Few-shot Point Cloud Semantic Segmentation
Changshuo Wang, Xiang Fang, Prayag Tiwari; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62845-62856
FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning
Ganyu Wang, Jinjie Fang, Maxwell Juncheng Yin, Bin Gu, Xi Chen, Boyu Wang, Yi Chang, Charles Ling; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62857-62889
From Complex to Atomic: Enhancing Augmented Generation via Knowledge-Aware Dual Rewriting and Reasoning
Jinyu Wang, Jingjing Fu, Rui Wang, Lei Song, Jiang Bian; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62890-62915
GRAM: A Generative Foundation Reward Model for Reward Generalization
Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62916-62936
Optimizing Large Language Model Training Using FP4 Quantization
Ruizhe Wang, Yeyun Gong, Xiao Liu, Guoshuai Zhao, Ziyue Yang, Baining Guo, Zheng-Jun Zha, Peng Cheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62937-62957
MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment
Tianze Wang, Dongnan Gui, Yifan Hu, Shuhang Lin, Linjun Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62958-62979
LLM-Augmented Chemical Synthesis and Design Decision Programs
Haorui Wang, Jeff Guo, Lingkai Kong, Rampi Ramprasad, Philippe Schwaller, Yuanqi Du, Chao Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:62980-63001
PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models
Fanmeng Wang, Wentao Guo, Qi Ou, Hongshuai Wang, Haitao Lin, Hongteng Xu, Zhifeng Gao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63002-63015
MATS: An Audio Language Model under Text-only Supervision
Wen Wang, Ruibing Hou, Hong Chang, Shiguang Shan, Xilin Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63016-63035
Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
Jianyu Wang, Zhiqiang Hu, Lidong Bing; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63036-63087
Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis
Xu Wang, Yan Hu, Wenyu Du, Reynold Cheng, Benyou Wang, Difan Zou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63088-63112
ELoRA: Low-Rank Adaptation for Equivariant GNNs
Chen Wang, Siyu Hu, Guangming Tan, Weile Jia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63113-63135
Projection Pursuit Density Ratio Estimation
Meilin Wang, Wei Huang, Mingming Gong, Zheng Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63136-63168
Cooperation of Experts: Fusing Heterogeneous Information with Large Margin
Shuo Wang, Shunyang Huang, Jinghui Yuan, Zhixiang Shen, Zhao Kang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63169-63185
Unified K-Means Clustering with Label-Guided Manifold Learning
Qianqian Wang, Mengping Jiang, Zhengming Ding, Quanxue Gao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63186-63199
The Illusion of Role Separation: Hidden Shortcuts in LLM Role Learning (and How to Fix Them)
Zihao Wang, Yibo Jiang, Jiahao Yu, Heqing Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63200-63210
Transfer Learning for Nonparametric Contextual Dynamic Pricing
Fan Wang, Feiyu Jiang, Zifeng Zhao, Yi Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63211-63244
Event-Customized Image Generation
Zhen Wang, Yilei Jiang, Dong Zheng, Jun Xiao, Long Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63245-63265
IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models
Hanting Wang, Tao Jin, Wang Lin, Shulei Wang, Hai Huang, Shengpeng Ji, Zhou Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63266-63289
Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG
Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen, Yong Luo, Bo Du, Dacheng Tao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63290-63307
M+: Extending MemoryLLM with Scalable Long-Term Memory
Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian Mcauley, Dan Gutfreund, Rogerio Feris, Zexue He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63308-63323
ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset
Yilin Wang, Peixuan Lei, Jie Song, Yuzhe Hao, Tao Chen, Yuxuan Zhang, Lei Jia, Yuanxiang Li, Zhongyu Wei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63324-63344
Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM
Xiong Wang, Yangze Li, Chaoyou Fu, Yike Zhang, Yunhang Shen, Lei Xie, Ke Li, Xing Sun, Long Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63345-63354
Large Displacement Motion Transfer with Unsupervised Anytime Interpolation
Guixiang Wang, Jianjun Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63355-63364
Learning Fused State Representations for Control from Multi-View Observations
Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche, Riashat Islam; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63365-63386
polybasic Speculative Decoding Through a Theoretical Perspective
Ruilin Wang, Huixia Li, Yuexiao Ma, Xiawu Zheng, Fei Chao, Xuefeng Xiao, Rongrong Ji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63387-63398
One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation
Zhendong Wang, Max Li, Ajay Mandlekar, Zhenjia Xu, Jiaojiao Fan, Yashraj Narang, Linxi Fan, Yuke Zhu, Yogesh Balaji, Mingyuan Zhou, Ming-Yu Liu, Yu Zeng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63399-63416
Improving Rationality in the Reasoning Process of Language Models through Self-playing Game
Pinzheng Wang, Juntao Li, Zecheng Tang, Haijia Gui, Min Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63417-63438
Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition
Zichen Wang, Chuanhao Li, Huazheng Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63439-63466
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
Shuoyuan Wang, Yixuan Li, Hongxin Wei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63467-63489
Finding Wasserstein Ball Center: Efficient Algorithm and The Applications in Fairness
Yuntao Wang, Yuxuan Li, Qingyuan Yang, Hu Ding; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63490-63515
DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning
Yifan Wang, Hourun Li, Ling Yue, Zhiping Xiao, Jia Yang, Changling Zhou, Wei Ju, Ming Zhang, Xiao Luo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63516-63529
Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning
Xinrui Wang, Shao-Yuan Li, Jiaqiang Zhang, Songcan Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63530-63548
Differentiable Solver Search for Fast Diffusion Sampling
Shuai Wang, Zexian Li, Qipeng Zhang, Tianhui Song, Xubin Li, Tiezheng Ge, Bo Zheng, Limin Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63549-63568
EpiCoder: Encompassing Diversity and Complexity in Code Generation
Yaoxiang Wang, Haoling Li, Xin Zhang, Jie Wu, Xiao Liu, Wenxiang Hu, Zhongxin Guo, Yangyu Huang, Ying Xin, Yujiu Yang, Jinsong Su, Qi Chen, Scarlett Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63569-63606
Learning Attribute-Aware Hash Codes for Fine-Grained Image Retrieval via Query Optimization
Peng Wang, Yong Li, Lin Zhao, Xiu-Shen Wei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63607-63620
Enhancing Foundation Models with Federated Domain Knowledge Infusion
Jiaqi Wang, Jingtao Li, Weiming Zhuang, Chen Chen, Lingjuan Lyu, Fenglong Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63621-63635
A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents
Kaiwen Wang, Dawen Liang, Nathan Kallus, Wen Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63636-63661
NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric
Jingtan Wang, Xiaoqiang Lin, Rui Qiao, Pang Wei Koh, Chuan-Sheng Foo, Bryan Kian Hsiang Low; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63662-63689
CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition
Zebin Wang, Menghan Lin, Bolin Shen, Ken Anderson, Molei Liu, Tianxi Cai, Yushun Dong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63690-63706
Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning
Yiran Wang, Chenshu Liu, Yunfan Li, Sanae Amani, Bolei Zhou, Lin Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63707-63733
Bayesian Active Learning for Bivariate Causal Discovery
Yuxuan Wang, Mingzhou Liu, Xinwei Sun, Wei Wang, Yizhou Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63734-63754
Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models
Haoyu Peter Wang, Shikun Liu, Rongzhe Wei, Pan Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63755-63776
DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation
Shuyuan Wang, Philip D Loewen, Michael Forbes, Bhushan Gopaluni, Wei Pan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63777-63791
Generalization in Federated Learning: A Conditional Mutual Information Framework
Ziqiao Wang, Cheng Long, Yongyi Mao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63792-63823
SSHR: More Secure Generative Steganography with High-Quality Revealed Secret Images
Jiannian Wang, Yao Lu, Guangming Lu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63824-63839
Attention-Only Transformers via Unrolled Subspace Denoising
Peng Wang, Yifu Lu, Yaodong Yu, Druv Pai, Qing Qu, Yi Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63840-63859
Variational Counterfactual Intervention Planning to Achieve Target Outcomes
Xin Wang, Shengfei Lyu, Chi Luo, Xiren Zhou, Huanhuan Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63860-63881
Textural or Textual: How Vision-Language Models Read Text in Images
Hanzhang Wang, Qingyuan Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63882-63896
Agent Workflow Memory
Zora Zhiruo Wang, Jiayuan Mao, Daniel Fried, Graham Neubig; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63897-63911
NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction
Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63912-63928
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation
Qi Wang, Yuan Mi, Wang Haoyun, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Ji-Rong Wen, Hao Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63929-63951
Teaching Physical Awareness to LLMs through Sounds
Weiguo Wang, Andy Nie, Wenrui Zhou, Yi Kai, Chengchen Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63952-63971
MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving
Ruida Wang, Rui Pan, Yuxin Li, Jipeng Zhang, Yizhen Jia, Shizhe Diao, Renjie Pi, Junjie Hu, Tong Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:63972-64004
Staged and Physics-Grounded Learning Framework with Hyperintensity Prior for Pre-Contrast MRI Synthesis
Dayang Wang, Srivathsa Pasumarthi Venkata, Ajit Shankaranarayanan, Greg Zaharchuk; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64005-64022
Diffusion Sampling Correction via Approximately 10 Parameters
Guangyi Wang, Wei Peng, Lijiang Li, Wenyu Chen, Yuren Cai, Song-Zhi Su; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64023-64043
Taming Rectified Flow for Inversion and Editing
Jiangshan Wang, Junfu Pu, Zhongang Qi, Jiayi Guo, Yue Ma, Nisha Huang, Yuxin Chen, Xiu Li, Ying Shan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64044-64058
Flow Matching for Few-Trial Neural Adaptation with Stable Latent Dynamics
Puli Wang, Yu Qi, Yueming Wang, Gang Pan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64059-64083
Safety Reasoning with Guidelines
Haoyu Wang, Zeyu Qin, Li Shen, Xueqian Wang, Dacheng Tao, Minhao Cheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64084-64108
LightGTS: A Lightweight General Time Series Forecasting Model
Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64109-64126
Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer
Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64127-64151
Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression
Andong Wang, Yuning Qiu, Zhong Jin, Guoxu Zhou, Qibin Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64152-64201
The Sparse-Plus-Low-Rank Quasi-Newton Method for Entropic-Regularized Optimal Transport
Chenrui Wang, Yixuan Qiu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64202-64221
INRFlow: Flow Matching for INRs in Ambient Space
Yuyang Wang, Anurag Ranjan, Joshua M. Susskind, Miguel Ángel Bautista; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64222-64243
Distributionally Robust Policy Learning under Concept Drifts
Jingyuan Wang, Zhimei Ren, Ruohan Zhan, Zhengyuan Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64244-64281
Learning-Order Autoregressive Models with Application to Molecular Graph Generation
Zhe Wang, Jiaxin Shi, Nicolas Heess, Arthur Gretton, Michalis Titsias; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64282-64301
High-Dimensional Tensor Regression With Oracle Properties
Wenbin Wang, Yu Shi, Ziping Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64302-64342
Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
Yinong Oliver Wang, Nivedha Sivakumar, Falaah Arif Khan, Katherine Metcalf, Adam Golinski, Natalie Mackraz, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64343-64366
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation
Mengzhu Wang, Houcheng Su, Jiao Li, Chuan Li, Nan Yin, Li Shen, Jingcai Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64367-64376
Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis
Qunzhong Wang, Xiangguo Sun, Hong Cheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64377-64402
Online Clustering of Dueling Bandits
Zhiyong Wang, Jiahang Sun, Mingze Kong, Jize Xie, Qinghua Hu, John C.S. Lui, Zhongxiang Dai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64403-64431
Origin Identification for Text-Guided Image-to-Image Diffusion Models
Wenhao Wang, Yifan Sun, Zongxin Yang, Zhentao Tan, Zhengdong Hu, Yi Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64432-64447
Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach
Zhigaoyuan Wang, Ying Sun, Hengshu Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64448-64462
Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance
Yusong Wang, Shiyin Tan, Jialun Shen, Yicheng Xu, Haobo Song, Qi Xu, Prayag Tiwari, Mingkun Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64463-64490
Predictive Performance of Deep Quantum Data Re-uploading Models
Xin Wang, Hanxiao Tao, Rebing Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64491-64524
Learning Dynamics in Continual Pre-Training for Large Language Models
Xingjin Wang, Howe Tissue, Lu Wang, Linjing Li, Daniel Dajun Zeng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64525-64548
Discovering Latent Causal Graphs from Spatiotemporal Data
Kun Wang, Sumanth Varambally, Duncan Watson-Parris, Yian Ma, Rose Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64549-64585
DynaMind: Reasoning over Abstract Video Dynamics for Embodied Decision-Making
Ziru Wang, Mengmeng Wang, Jade Dai, Teli Ma, Guo-Jun Qi, Yong Liu, Guang Dai, Jingdong Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64586-64603
Griffin: Towards a Graph-Centric Relational Database Foundation Model
Yanbo Wang, Xiyuan Wang, Quan Gan, Minjie Wang, Qibin Yang, David Wipf, Muhan Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64604-64627
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality
Ruhan Wang, Zhiyong Wang, Chengkai Huang, Rui Wang, Tong Yu, Lina Yao, John C.S. Lui, Dongruo Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64628-64654
BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach
Haozhao Wang, Shengyu Wang, Jiaming Li, Hao Ren, Xingshuo Han, Wenchao Xu, Shangwei Guo, Tianwei Zhang, Ruixuan Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64655-64669
CSG-ODE: ControlSynth Graph ODE For Modeling Complex Evolution of Dynamic Graphs
Zhiqiang Wang, Xiaoyi Wang, Jianqing Liang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64670-64689
GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs
Yue Wang, Qizhou Wang, Feng Liu, Wei Huang, Yali Du, Xiaojiang Du, Bo Han; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64690-64710
Knowledge-Guided Wasserstein Distributionally Robust Optimization
Zitao Wang, Ziyuan Wang, Molei Liu, Nian Si; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64711-64733
Neural Graph Matching Improves Retrieval Augmented Generation in Molecular Machine Learning
Runzhong Wang, Rui-Xi Wang, Mrunali Manjrekar, Connor W. Coley; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64734-64749
Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals
Vivienne Huiling Wang, Tinghuai Wang, Joni Pajarinen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64750-64772
Accelerating Large Language Model Reasoning via Speculative Search
Zhihai Wang, Jie Wang, Jilai Pan, Xilin Xia, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Feng Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64773-64805
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
Shuo Wang, Bokui Wang, Zhixiang Shen, Boyan Deng, Zhao Kang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64806-64821
CoSER: Coordinating LLM-Based Persona Simulation of Established Roles
Xintao Wang, Heng Wang, Yifei Zhang, Xinfeng Yuan, Rui Xu, Jen-Tse Huang, Siyu Yuan, Haoran Guo, Jiangjie Chen, Shuchang Zhou, Wei Wang, Yanghua Xiao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64822-64858
The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training
Jinbo Wang, Mingze Wang, Zhanpeng Zhou, Junchi Yan, Weinan E, Lei Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64859-64879
Delay-DSGN: A Dynamic Spiking Graph Neural Network with Delay Mechanisms for Evolving Graph
Zhiqiang Wang, Jianghao Wen, Jianqing Liang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64880-64894
Bridging Layout and RTL: Knowledge Distillation based Timing Prediction
Mingjun Wang, Yihan Wen, Bin Sun, Jianan Mu, Juan Li, Xiaoyi Wang, Jing Justin Ye, Bei Yu, Huawei Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64895-64913
Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning
Yuhui Wang, Qingyuan Wu, Dylan R. Ashley, Francesco Faccio, Weida Li, Chao Huang, Jürgen Schmidhuber; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64914-64936
Demonstration Selection for In-Context Learning via Reinforcement Learning
Xubin Wang, Jianfei Wu, Yuan Yichen, Deyu Cai, Mingzhe Li, Weijia Jia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64937-64954
QuanONet: Quantum Neural Operator with Application to Differential Equation
Ruocheng Wang, Zhuo Xia, Ge Yan, Junchi Yan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64955-64975
Improving Model Alignment Through Collective Intelligence of Open-Source Models
Junlin Wang, Roy Xie, Shang Zhu, Jue Wang, Ben Athiwaratkun, Bhuwan Dhingra, Shuaiwen Leon Song, Ce Zhang, James Zou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64976-64997
Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs
Xun Wang, Jing Xu, Franziska Boenisch, Michael Backes, Christopher A. Choquette-Choo, Adam Dziedzic; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:64998-65019
Off-Policy Evaluation under Nonignorable Missing Data
Han Wang, Yang Xu, Wenbin Lu, Rui Song; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65020-65058
From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining
Fuying Wang, Jiacheng Xu, Lequan Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65059-65074
Enhancing Visual Localization with Cross-Domain Image Generation
Yuanze Wang, Yichao Yan, Shiming Song, Songchang Jin, Yilan Huang, Xingdong Sheng, Dianxi Shi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65075-65090
A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
Bokun Wang, Tianbao Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65091-65121
Provable Zero-Shot Generalization in Offline Reinforcement Learning
Zhiyong Wang, Chen Yang, John C.S. Lui, Dongruo Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65122-65143
A Non-isotropic Time Series Diffusion Model with Moving Average Transitions
Chenxi Wang, Linxiao Yang, Zhixian Wang, Liang Sun, Yi Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65144-65166
ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $α$-$β$-Divergence
Guanghui Wang, Zhiyong Yang, Zitai Wang, Shi Wang, Qianqian Xu, Qingming Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65167-65212
Revisiting Differentially Private Algorithms for Decentralized Online Learning
Xiaoyu Wang, Wenhao Yang, Chang Yao, Mingli Song, Yuanyu Wan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65213-65235
CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models
Qinsi Wang, Hancheng Ye, Ming-Yu Chung, Yudong Liu, Yueqian Lin, Martin Kuo, Mingyuan Ma, Jianyi Zhang, Yiran Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65236-65252
Efficiently Access Diffusion Fisher: Within the Outer Product Span Space
Fangyikang Wang, Hubery Yin, Shaobin Zhuang, Huminhao Zhu, Yinan Li, Lei Qian, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65253-65277
Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More
Feng Wang, Yaodong Yu, Wei Shao, Yuyin Zhou, Alan Yuille, Cihang Xie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65278-65290
FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making
Yucen Wang, Rui Yu, Shenghua Wan, Le Gan, De-Chuan Zhan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65291-65309
3D Question Answering via only 2D Vision-Language Models
Fengyun Wang, Sicheng Yu, Jiawei Wu, Jinhui Tang, Hanwang Zhang, Qianru Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65310-65325
Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models
Ruiyu Wang, Yu Yuan, Shizhao Sun, Jiang Bian; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65326-65345
Fusing Reward and Dueling Feedback in Stochastic Bandits
Xuchuang Wang, Qirun Zeng, Jinhang Zuo, Xutong Liu, Mohammad Hajiesmaili, John C.S. Lui, Adam Wierman; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65346-65367
Provable Policy Gradient for Robust Average-Reward MDPs Beyond Rectangularity
Qiuhao Wang, Yuqi Zha, Chin Pang Ho, Marek Petrik; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65368-65399
AutoAL: Automated Active Learning with Differentiable Query Strategy Search
Yifeng Wang, Xueying Zhan, Siyu Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65400-65411
FDGen: A Fairness-Aware Graph Generation Model
Zichong Wang, Wenbin Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65412-65428
M$^3$HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality
Ziyan Wang, Zhicheng Zhang, Fei Fang, Yali Du; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65429-65448
Improving Value Estimation Critically Enhances Vanilla Policy Gradient
Tao Wang, Ruipeng Zhang, Sicun Gao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65449-65463
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
Changsheng Wang, Yihua Zhang, Jinghan Jia, Parikshit Ram, Dennis Wei, Yuguang Yao, Soumyadeep Pal, Nathalie Baracaldo, Sijia Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65464-65479
Optimal Algorithm for Max-Min Fair Bandit
Zilong Wang, Zhiyao Zhang, Shuai Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65480-65495
Beyond Message Passing: Neural Graph Pattern Machine
Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65496-65517
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65518-65555
Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models
Zehan Wang, Ziang Zhang, Tianyu Pang, Chao Du, Hengshuang Zhao, Zhou Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65556-65574
Demystifying Singular Defects in Large Language Models
Haoqi Wang, Tong Zhang, Mathieu Salzmann; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65575-65594
Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update
Jing Wang, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65595-65617
A Theory for Conditional Generative Modeling on Multiple Data Sources
Rongzhen Wang, Yan Zhang, Chenyu Zheng, Chongxuan Li, Guoqiang Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65618-65654
Stabilizing Sample Similarity in Representation via Mitigating Random Consistency
Jieting Wang, Zelong Zhang, Feijiang Li, Yuhua Qian, Xinyan Liang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65655-65686
Rényi Neural Processes
Xuesong Wang, He Zhao, Edwin V. Bonilla; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65687-65707
A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments
Yuchen Wang, Hongjue Zhao, Haohong Lin, Enze Xu, Lifang He, Huajie Shao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65708-65737
Towards the Causal Complete Cause of Multi-Modal Representation Learning
Jingyao Wang, Siyu Zhao, Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65738-65775
Equivalence is All: A Unified View for Self-supervised Graph Learning
Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Ling Li, Jiapu Wang, Fangting Li, Miaomiao Huang, Shirui Pan, Xingwei Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65776-65789
N2GON: Neural Networks for Graph-of-Net with Position Awareness
Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Wen Shan, Ling Li, Qian Li, Miaomiao Huang, Meixia Wang, Shirui Pan, Xingwei Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65790-65801
Scaling Large Motion Models with Million-Level Human Motions
Ye Wang, Sipeng Zheng, Bin Cao, Qianshan Wei, Weishuai Zeng, Qin Jin, Zongqing Lu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65802-65827
Learning Cascade Ranking as One Network
Yunli Wang, Zhen Zhang, Zhiqiang Wang, Zixuan Yang, Yu Li, Jian Yang, Shiyang Wen, Peng Jiang, Kun Gai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65828-65844
COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation
Wenxu Wang, Rui Zhou, Jing Wang, Yun Zhou, Cheng Zhu, Ruichun Tang, Bo Han, Nevin L. Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65845-65866
Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning
Erchi Wang, Yuqing Zhu, Yu-Xiang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65867-65896
Adaptive Elicitation of Latent Information Using Natural Language
Jimmy Wang, Thomas P Zollo, Richard Zemel, Hongseok Namkoong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65897-65917
TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack
Feiyang Wang, Xingquan Zuo, Hai Huang, Gang Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65918-65935
Prompt-based Depth Pruning of Large Language Models
Juyun Wee, Minjae Park, Jaeho Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65936-65948
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration
Antoine Wehenkel, Juan L. Gamella, Ozan Sener, Jens Behrmann, Guillermo Sapiro, Joern-Henrik Jacobsen, Marco Cuturi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65949-65980
AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism
Zhepei Wei, Wei-Lin Chen, Xinyu Zhu, Yu Meng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65981-65996
Identifying and Understanding Cross-Class Features in Adversarial Training
Zeming Wei, Steven Y. Guo, Yisen Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:65997-66014
Representation Surgery in Model Merging with Probabilistic Modeling
Qi Wei, Shuo He, Enneng Yang, Tingcong Liu, Haobo Wang, Lei Feng, Bo An; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66015-66032
Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning
Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66033-66061
Closed-form Solutions: A New Perspective on Solving Differential Equations
Shu Wei, Yanjie Li, Lina Yu, Weijun Li, Min Wu, Linjun Sun, Jingyi Liu, Hong Qin, Yusong Deng, Jufeng Han, Yan Pang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66062-66083
Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws
Xiyuan Wei, Ming Lin, Fanjiang Ye, Fengguang Song, Liangliang Cao, My T. Thai, Tianbao Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66084-66102
Emoji Attack: Enhancing Jailbreak Attacks Against Judge LLM Detection
Zhipeng Wei, Yuqi Liu, N. Benjamin Erichson; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66103-66117
VideoRoPE: What Makes for Good Video Rotary Position Embedding?
Xilin Wei, Xiaoran Liu, Yuhang Zang, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Jian Tong, Haodong Duan, Qipeng Guo, Jiaqi Wang, Xipeng Qiu, Dahua Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66118-66136
Stream-level Flow Matching with Gaussian Processes
Ganchao Wei, Li Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66137-66154
Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces
Anjiang Wei, Allen Nie, Thiago S. F. X. Teixeira, Rohan Yadav, Wonchan Lee, Ke Wang, Alex Aiken; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66155-66177
Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent
Yongxian Wei, Anke Tang, Li Shen, Zixuan Hu, Chun Yuan, Xiaochun Cao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66178-66193
Zero-Inflated Bandits
Haoyu Wei, Runzhe Wan, Lei Shi, Rui Song; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66194-66258
Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction
Yanbin Wei, Xuehao Wang, Zhan Zhuang, Yang Chen, Shuhao Chen, Yulong Zhang, James Kwok, Yu Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66259-66279
RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models
Quan Wei, Chung-Yiu Yau, Hoi To Wai, Yang Zhao, Dongyeop Kang, Youngsuk Park, Mingyi Hong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66280-66299
Self-Consuming Generative Models with Adversarially Curated Data
Xiukun Wei, Xueru Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66300-66321
Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability
Chen Wei, Chi Zhang, Jiachen Zou, Haotian Deng, Dietmar Heinke, Quanying Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66322-66357
Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG
Xinxu Wei, Kanhao Zhao, Yong Jiao, Hua Xie, Lifang He, Yu Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66358-66377
Perception in Reflection
Yana Wei, Liang Zhao, Kangheng Lin, En Yu, Yuang Peng, Runpei Dong, Jianjian Sun, Haoran Wei, Zheng Ge, Xiangyu Zhang, Vishal M. Patel; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66378-66396
Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction
Ruben Weitzman, Peter Mørch Groth, Lood Van Niekerk, Aoi Otani, Yarin Gal, Debora Susan Marks, Pascal Notin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66397-66418
Adversarial Combinatorial Semi-bandits with Graph Feedback
Yuxiao Wen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66419-66436
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
Hechuan Wen, Tong Chen, Mingming Gong, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66437-66466
Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification
Jie Wen, Yadong Liu, Zhanyan Tang, Yuting He, Yulong Chen, Mu Li, Chengliang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66467-66480
Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments
Qianglin Wen, Chengchun Shi, Ying Yang, Niansheng Tang, Hongtu Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66481-66519
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
Tiansheng Wen, Yifei Wang, Zequn Zeng, Zhong Peng, Yudi Su, Xinyang Liu, Bo Chen, Hongwei Liu, Stefanie Jegelka, Chenyu You; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66520-66538
Distributed Conformal Prediction via Message Passing
Haifeng Wen, Hong Xing, Osvaldo Simeone; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66539-66557
DiffusionVLA: Scaling Robot Foundation Models via Unified Diffusion and Autoregression
Junjie Wen, Yichen Zhu, Minjie Zhu, Zhibin Tang, Jinming Li, Zhongyi Zhou, Xiaoyu Liu, Chaomin Shen, Yaxin Peng, Feifei Feng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66558-66574
An Efficient Pruner for Large Language Model with Theoretical Guarantee
Canhong Wen, Yihong Zuo, Wenliang Pan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66575-66596
Clustering Properties of Self-Supervised Learning
Xi Weng, Jianing An, Xudong Ma, Binhang Qi, Jie Luo, Xi Yang, Jin Song Dong, Lei Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66597-66616
TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation
Gwen Yidou Weng, Benjie Wang, Guy Van Den Broeck; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66617-66632
PertEval-scFM: Benchmarking Single-Cell Foundation Models for Perturbation Effect Prediction
Aaron Wenteler, Martina Occhetta, Nikhil Branson, Victor Curean, Magdalena Huebner, William Dee, William Connell, Siu Pui Chung, Alex Hawkins-Hooker, Yasha Ektefaie, César Miguel Valdez Córdova, Amaya Gallagher-Syed; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66633-66677
Organize the Web: Constructing Domains Enhances Pre-Training Data Curation
Alexander Wettig, Kyle Lo, Sewon Min, Hannaneh Hajishirzi, Danqi Chen, Luca Soldaini; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66678-66705
Spatial Reasoning with Denoising Models
Christopher Wewer, Bartlomiej Pogodzinski, Bernt Schiele, Jan Eric Lenssen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66706-66725
Certification for Differentially Private Prediction in Gradient-Based Training
Matthew Robert Wicker, Philip Sosnin, Igor Shilov, Adrianna Janik, Mark Niklas Mueller, Yves-Alexandre De Montjoye, Adrian Weller, Calvin Tsay; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66726-66745
Sidechain conditioning and modeling for full-atom protein sequence design with FAMPNN
Talal Widatalla, Richard W. Shuai, Brian Hie, Possu Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66746-66771
RE-Bench: Evaluating Frontier AI R&D Capabilities of Language Model Agents against Human Experts
Hjalmar Wijk, Tao Roa Lin, Joel Becker, Sami Jawhar, Neev Parikh, Thomas Broadley, Lawrence Chan, Michael Chen, Joshua M Clymer, Jai Dhyani, Elena Ericheva, Katharyn Garcia, Brian Goodrich, Nikola Jurkovic, Megan Kinniment, Aron Lajko, Seraphina Nix, Lucas Jun Koba Sato, William Saunders, Maksym Taran, Ben West, Elizabeth Barnes; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66772-66832
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Max Wilcoxson, Qiyang Li, Kevin Frans, Sergey Levine; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66833-66860
Exploring Representations and Interventions in Time Series Foundation Models
Michał Wiliński, Mononito Goswami, Willa Potosnak, Nina Żukowska, Artur Dubrawski; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66861-66886
Context is Key: A Benchmark for Forecasting with Essential Textual Information
Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66887-66944
The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence
Tom Wollschläger, Jannes Elstner, Simon Geisler, Vincent Cohen-Addad, Stephan Günnemann, Johannes Gasteiger; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66945-66970
An End-to-End Model for Logits-Based Large Language Models Watermarking
Ka Him Wong, Jicheng Zhou, Jiantao Zhou, Yain-Whar Si; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66971-66991
Pointwise Information Measures as Confidence Estimators in Deep Neural Networks: A Comparative Study
Shelvia Wongso, Rohan Ghosh, Mehul Motani; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:66992-67034
AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders
Zhengxuan Wu, Aryaman Arora, Atticus Geiger, Zheng Wang, Jing Huang, Dan Jurafsky, Christopher D Manning, Christopher Potts; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67035-67080
Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression
Jingfeng Wu, Peter Bartlett, Matus Telgarsky, Bin Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67081-67110
Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer
Yulun Wu, Doron L Bergman; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67111-67127
Cross-Modal Alignment via Variational Copula Modelling
Feng Wu, Tsai Hor Chan, Fuying Wang, Guosheng Yin, Lequan Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67128-67146
LotteryCodec: Searching the Implicit Representation in a Random Network for Low-Complexity Image Compression
Haotian Wu, Gongpu Chen, Pier Luigi Dragotti, Deniz Gunduz; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67147-67171
Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning
Fangwen Wu, Lechao Cheng, Shengeng Tang, Xiaofeng Zhu, Chaowei Fang, Dingwen Zhang, Meng Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67172-67183
Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy
Haoqi Wu, Wei Dai, Wang Li, Qiang Yan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67184-67201
Bivariate Causal Discovery with Proxy Variables: Integral Solving and Beyond
Yong Wu, Yanwei Fu, Shouyan Wang, Xinwei Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67202-67259
CollabLLM: From Passive Responders to Active Collaborators
Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, Jure Leskovec, Jianfeng Gao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67260-67283
How Do Transformers Learn Variable Binding in Symbolic Programs?
Yiwei Wu, Atticus Geiger, Raphaël Millière; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67284-67299
In-Context Learning as Conditioned Associative Memory Retrieval
Weimin Wu, Teng-Yun Hsiao, Jerry Yao-Chieh Hu, Wenxin Zhang, Han Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67300-67325
GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning
Nannan Wu, Yuming Huang, Yiming Zhao, Jie Chen, Wenjun Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67326-67341
SpikF: Spiking Fourier Network for Efficient Long-term Prediction
Wenjie Wu, Dexuan Huo, Hong Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67342-67368
Label Distribution Propagation-based Label Completion for Crowdsourcing
Tong Wu, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67369-67381
Thinking LLMs: General Instruction Following with Thought Generation
Tianhao Wu, Janice Lan, Weizhe Yuan, Jiantao Jiao, Jason E Weston, Sainbayar Sukhbaatar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67382-67407
Divide and Conquer: Learning Label Distribution with Subtasks
Haitao Wu, Weiwei Li, Xiuyi Jia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67408-67426
Preserving AUC Fairness in Learning with Noisy Protected Groups
Mingyang Wu, Li Lin, Wenbin Zhang, Xin Wang, Zhenhuan Yang, Shu Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67427-67448
Few-Shot Learner Generalizes Across AI-Generated Image Detection
Shiyu Wu, Jing Liu, Jing Li, Yequan Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67449-67460
Streamline Without Sacrifice - Squeeze out Computation Redundancy in LMM
Penghao Wu, Lewei Lu, Ziwei Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67461-67475
Aligning Spoken Dialogue Models from User Interactions
Anne Wu, Laurent Mazaré, Neil Zeghidour, Alexandre Défossez; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67476-67498
Neural Collapse Beyond the Unconstrained Features Model: Landscape, Dynamics, and Generalization in the Mean-Field Regime
Diyuan Wu, Marco Mondelli; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67499-67536
Identifying biological perturbation targets through causal differential networks
Menghua Wu, Umesh Padia, Sean H. Murphy, Regina Barzilay, Tommi Jaakkola; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67537-67561
$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu, Bin Yang, Chenjuan Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67562-67583
Learning Optimal Multimodal Information Bottleneck Representations
Qilong Wu, Yiyang Shao, Jun Wang, Xiaobo Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67584-67622
When Do LLMs Help With Node Classification? A Comprehensive Analysis
Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67623-67649
TokenSwift: Lossless Acceleration of Ultra Long Sequence Generation
Tong Wu, Junzhe Shen, Zixia Jia, Yuxuan Wang, Zilong Zheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67650-67669
In-Context Deep Learning via Transformer Models
Weimin Wu, Maojiang Su, Jerry Yao-Chieh Hu, Zhao Song, Han Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67670-67718
FLAM: Frame-Wise Language-Audio Modeling
Yusong Wu, Christos Tsirigotis, Ke Chen, Cheng-Zhi Anna Huang, Aaron Courville, Oriol Nieto, Prem Seetharaman, Justin Salamon; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67719-67740
The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph
Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67741-67755
On the Emergence of Position Bias in Transformers
Xinyi Wu, Yifei Wang, Stefanie Jegelka, Ali Jadbabaie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67756-67781
Distributed Parallel Gradient Stacking(DPGS): Solving Whole Slide Image Stacking Challenge in Multi-Instance Learning
Boyuan Wu, Zefeng Wang, Xianwei Lin, Jiachun Xu, Jikai Yu, Zhou Shicheng, Hongda Chen, Lianxin Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67782-67792
AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization
Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67793-67809
Directly Forecasting Belief for Reinforcement Learning with Delays
Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan, Yixuan Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67810-67832
Efficient Personalized Adaptation for Physiological Signal Foundation Model
Chenrui Wu, Haishuai Wang, Xiang Zhang, Chengqi Zhang, Jiajun Bu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67833-67851
BackSlash: Rate Constrained Optimized Training of Large Language Models
Jun Wu, Jiangtao Wen, Yuxing Han; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67852-67863
Towards Robustness and Explainability of Automatic Algorithm Selection
Xingyu Wu, Jibin Wu, Yu Zhou, Liang Feng, Kc Tan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67864-67887
Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions
Dongze Wu, Yao Xie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67888-67916
Rethinking Chain-of-Thought from the Perspective of Self-Training
Zongqian Wu, Baoduo Xu, Ruochen Cui, Mengmeng Zhan, Xiaofeng Zhu, Lei Feng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67917-67937
Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration
Yuanchen Wu, Ke Yan, Shouhong Ding, Ziyin Zhou, Xiaoqiang Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67938-67958
Supercharging Graph Transformers with Advective Diffusion
Qitian Wu, Chenxiao Yang, Kaipeng Zeng, Michael M. Bronstein; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67959-67985
An Empirical Study on Configuring In-Context Learning Demonstrations for Unleashing MLLMs’ Sentimental Perception Capability
Daiqing Wu, Dongbao Yang, Sicheng Zhao, Can Ma, Yu Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:67986-67999
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
Qirui Wu, Shizhou Zhang, De Cheng, Yinghui Xing, Di Xu, Peng Wang, Yanning Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68000-68014
Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems
Yutong Wu, Jie Zhang, Yiming Li, Chao Zhang, Qing Guo, Han Qiu, Nils Lukas, Tianwei Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68015-68035
Simplifying DINO via Coding Rate Regularization
Ziyang Wu, Jingyuan Zhang, Druv Pai, Xudong Wang, Chandan Singh, Jianwei Yang, Jianfeng Gao, Yi Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68036-68059
Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models
Xiaoyu Wu, Jiaru Zhang, Steven Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68060-68077
Weight matrices compression based on PDB model in deep neural networks
Xiaoling Wu, Junpeng Zhu, Zeng Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68078-68093
Adaptive Localization of Knowledge Negation for Continual LLM Unlearning
Abudukelimu Wuerkaixi, Qizhou Wang, Sen Cui, Wutong Xu, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68094-68117
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
Antonia Wüst, Tim Tobiasch, Lukas Helff, Inga Ibs, Wolfgang Stammer, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68118-68142
PINNsAgent: Automated PDE Surrogation with Large Language Models
Qingpo Wuwu, Chonghan Gao, Tianyu Chen, Yihang Huang, Yuekai Zhang, Jianing Wang, Jianxin Li, Haoyi Zhou, Shanghang Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68143-68165
Distinguishing Cause from Effect with Causal Velocity Models
Johnny Xi, Hugh Dance, Peter Orbanz, Benjamin Bloem-Reddy; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68166-68189
OW-VAP: Visual Attribute Parsing for Open World Object Detection
Xing Xi, Xing Fu, Weiqiang Wang, Ronghua Luo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68190-68207
Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity
Haocheng Xi, Shuo Yang, Yilong Zhao, Chenfeng Xu, Muyang Li, Xiuyu Li, Yujun Lin, Han Cai, Jintao Zhang, Dacheng Li, Jianfei Chen, Ion Stoica, Kurt Keutzer, Song Han; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68208-68224
Causal Abstraction Inference under Lossy Representations
Kevin Muyuan Xia, Elias Bareinboim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68225-68235
Learning the Electronic Hamiltonian of Large Atomic Structures
Chen Hao Xia, Manasa Kaniselvan, Alexandros Nikolaos Ziogas, Marko Mladenović, Rayen Mahjoub, Alexander Maeder, Mathieu Luisier; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68236-68257
Minerva: A Programmable Memory Test Benchmark for Language Models
Menglin Xia, Victor Rühle, Saravan Rajmohan, Reza Shokri; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68258-68276
DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model
Siwei Xia, Li Sun, Tiantian Sun, Qingli Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68277-68291
On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains
Xun Xian, Ganghua Wang, Xuan Bi, Rui Zhang, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68292-68315
GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning
Zhen Xiang, Linzhi Zheng, Yanjie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68316-68342
When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network
Dong Xiao, Guangyao Chen, Peixi Peng, Yangru Huang, Yifan Zhao, Yongxing Dai, Yonghong Tian; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68343-68363
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach
Jiancong Xiao, Bojian Hou, Zhanliang Wang, Ruochen Jin, Qi Long, Weijie J Su, Li Shen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68364-68390
Exact risk curves of signSGD in High-Dimensions: quantifying preconditioning and noise-compression effects
Ke Liang Xiao, Noah Marshall, Atish Agarwala, Elliot Paquette; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68391-68439
MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections
Da Xiao, Qingye Meng, Shengping Li, Xingyuan Yuan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68440-68458
LoRA-Gen: Specializing Large Language Model via Online LoRA Generation
Yicheng Xiao, Lin Song, Rui Yang, Cheng Cheng, Yixiao Ge, Xiu Li, Ying Shan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68459-68471
ABNet: Adaptive explicit-Barrier Net for Safe and Scalable Robot Learning
Wei Xiao, Tsun-Hsuan Wang, Chuang Gan, Daniela Rus; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68472-68490
Are High-Quality AI-Generated Images More Difficult for Models to Detect?
Yao Xiao, Binbin Yang, Weiyan Chen, Jiahao Chen, Zijie Cao, Ziyi Dong, Xiangyang Ji, Liang Lin, Wei Ke, Pengxu Wei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68491-68512
Trustworthy Machine Learning through Data-Specific Indistinguishability
Hanshen Xiao, Zhen Yang, G. Edward Suh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68513-68534
A First-order Generative Bilevel Optimization Framework for Diffusion Models
Quan Xiao, Hui Yuan, A F M Saif, Gaowen Liu, Ramana Rao Kompella, Mengdi Wang, Tianyi Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68535-68558
Teaching Language Models to Critique via Reinforcement Learning
Zhihui Xie, Jie Chen, Liyu Chen, Weichao Mao, Jingjing Xu, Lingpeng Kong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68559-68577
SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer
Enze Xie, Junsong Chen, Yuyang Zhao, Jincheng Yu, Ligeng Zhu, Yujun Lin, Zhekai Zhang, Muyang Li, Junyu Chen, Han Cai, Bingchen Liu, Daquan Zhou, Song Han; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68578-68598
The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products
Yuqing Xie, Ameya Daigavane, Mit Kotak, Tess Smidt; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68599-68625
KIND: Knowledge Integration and Diversion for Training Decomposable Models
Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68626-68645
A Multi-Region Brain Model to Elucidate the Role of Hippocampus in Spatially Embedded Decision-Making
Yi Xie, Jaedong Hwang, Carlos D Brody, David W. Tank, Ila R Fiete; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68646-68670
Prior Knowledge Guided Neural Architecture Generation
Jingrong Xie, Han Ji, Yanan Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68671-68686
Learning Vision and Language Concepts for Controllable Image Generation
Shaoan Xie, Lingjing Kong, Yujia Zheng, Zeyu Tang, Eric Xing, Guangyi Chen, Kun Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68687-68709
Latent Diffusion Planning for Imitation Learning
Amber Xie, Oleh Rybkin, Dorsa Sadigh, Chelsea Finn; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68710-68724
Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning
Wanyun Xie, Francesco Tonin, Volkan Cevher; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68725-68745
Structured Preconditioners in Adaptive Optimization: A Unified Analysis
Shuo Xie, Tianhao Wang, Sashank J. Reddi, Sanjiv Kumar, Zhiyuan Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68746-68776
FG-CLIP: Fine-Grained Visual and Textual Alignment
Chunyu Xie, Bin Wang, Fanjing Kong, Jincheng Li, Dawei Liang, Gengshen Zhang, Dawei Leng, Yuhui Yin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68777-68793
Robust Reward Alignment via Hypothesis Space Batch Cutting
Zhixian Xie, Haode Zhang, Yizhe Feng, Wanxin Jin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68794-68812
Simple Policy Optimization
Zhengpeng Xie, Qiang Zhang, Fan Yang, Marco Hutter, Renjing Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68813-68824
Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing
Yuan Xin, Dingfan Chen, Michael Backes, Xiao Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68825-68846
TopInG: Topologically Interpretable Graph Learning via Persistent Rationale Filtration
Cheng Xin, Fan Xu, Xin Ding, Jie Gao, Jiaxin Ding; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68847-68869
$\textttI$^2$MoE$: Interpretable Multimodal Interaction-aware Mixture-of-Experts
Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna L. Ballard, Tianlong Chen, Qi Long; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68870-68888
Knowledge Swapping via Learning and Unlearning
Mingyu Xing, Lechao Cheng, Shengeng Tang, Yaxiong Wang, Zhun Zhong, Meng Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68889-68899
MIRROR: Make Your Object-Level Multi-View Generation More Consistent with Training-Free Rectification
Tianchi Xing, Bonan Li, Congying Han, Xinmin Qiu, Zicheng Zhang, Tiande Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68900-68927
One-Pass Feature Evolvable Learning with Theoretical Guarantees
Cun-Yuan Xing, Meng-Zhang Qian, Wu-Yang Chen, Wei Gao, Zhi-Hua Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68928-68952
MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost
Sen Xing, Muyan Zhong, Zeqiang Lai, Liangchen Li, Jiawen Liu, Yaohui Wang, Jifeng Dai, Wenhai Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68953-68969
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition
Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou, Zack Sifakis, Angeliki Giannou, Ziqian Lin, Liu Yang, Saurabh Agarwal, Grigorios Chrysos, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68970-68997
ParallelComp: Parallel Long-Context Compressor for Length Extrapolation
Jing Xiong, Jianghan Shen, Chuanyang Zheng, Zhongwei Wan, Chenyang Zhao, Chiwun Yang, Fanghua Ye, Hongxia Yang, Lingpeng Kong, Ngai Wong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:68998-69016
Projection Optimization: A General Framework for Multi-Objective and Multi-Group RLHF
Nuoya Xiong, Aarti Singh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69017-69058
Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach
Yang Xu, Vaneet Aggarwal; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69059-69077
DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy
Kaixuan Xu, Jiajun Chai, Sicheng Li, Yuqian Fu, Yuanheng Zhu, Dongbin Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69078-69095
RLTHF: Targeted Human Feedback for LLM Alignment
Yifei Xu, Tusher Chakraborty, Emre Kiciman, Bibek Aryal, Srinagesh Sharma, Songwu Lu, Ranveer Chandra; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69096-69115
Rethinking Benign Overfitting in Two-Layer Neural Networks
Ruichen Xu, Kexin Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69116-69146
Hybrid Spiking Vision Transformer for Object Detection with Event Cameras
Qi Xu, Jie Deng, Jiangrong Shen, Biwu Chen, Huajin Tang, Gang Pan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69147-69159
ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior
Zhongweiyang Xu, Xulin Fan, Zhong-Qiu Wang, Xilin Jiang, Romit Roy Choudhury; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69160-69188
Global Optimization with a Power-Transformed Objective and Gaussian Smoothing
Chen Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69189-69216
Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization
Zelai Xu, Wanjun Gu, Chao Yu, Yi Wu, Yu Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69217-69239
Concept-Based Unsupervised Domain Adaptation
Xinyue Xu, Yueying Hu, Hui Tang, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69240-69261
Reidentify: Context-Aware Identity Generation for Contextual Multi-Agent Reinforcement Learning
Zhiwei Xu, Kun Hu, Xin Xin, Weiliang Meng, Yiwei Shi, Hangyu Mao, Bin Zhang, Dapeng Li, Jiangjin Yin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69262-69278
Robust Multi-bit Text Watermark with LLM-based Paraphrasers
Xiaojun Xu, Jinghan Jia, Yuanshun Yao, Yang Liu, Hang Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69279-69292
Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention
Dejia Xu, Yifan Jiang, Chen Huang, Liangchen Song, Thorsten Gernoth, Liangliang Cao, Zhangyang Wang, Hao Tang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69293-69317
AdvAgent: Controllable Blackbox Red-teaming on Web Agents
Chejian Xu, Mintong Kang, Jiawei Zhang, Zeyi Liao, Lingbo Mo, Mengqi Yuan, Huan Sun, Bo Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69318-69330
RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation
Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Risa Ueno, Fabian Falck, Aditya V. Nori, Rahul Sharma, Amit Sharma, Javier Gonzalez; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69331-69362
RePaViT: Scalable Vision Transformer Acceleration via Structural Reparameterization on Feedforward Network Layers
Xuwei Xu, Yang Li, Yudong Chen, Jiajun Liu, Sen Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69363-69376
Refined generalization analysis of the Deep Ritz Method and Physics-Informed Neural Networks
Xianliang Xu, Ye Li, Zhongyi Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69377-69431
Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction
Yudong Xu, Wenhao Li, Scott Sanner, Elias Boutros Khalil; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69432-69450
Scalable Model Merging with Progressive Layer-wise Distillation
Jing Xu, Jiazheng Li, Jingzhao Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69451-69477
Contradiction Retrieval via Contrastive Learning with Sparsity
Haike Xu, Zongyu Lin, Kai-Wei Chang, Yizhou Sun, Piotr Indyk; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69478-69506
Sub-Sequential Physics-Informed Learning with State Space Model
Chenhui Xu, Dancheng Liu, Yuting Hu, Jiajie Li, Ruiyang Qin, Qingxiao Zheng, Jinjun Xiong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69507-69525
Toward Efficient Kernel-Based Solvers for Nonlinear PDEs
Zhitong Xu, Da Long, Yiming Xu, Guang Yang, Shandian Zhe, Houman Owhadi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69526-69544
Linear Contextual Bandits With Interference
Yang Xu, Wenbin Lu, Rui Song; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69545-69582
Investigating Non-Transitivity in LLM-as-a-Judge
Yi Xu, Laura Ruis, Tim Rocktäschel, Robert Kirk; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69583-69612
On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding
Kevin Xu, Issei Sato; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69613-69646
ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals
Yuanchao Xu, Kaidi Shao, Nikos K. Logothetis, Zhongwei Shen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69647-69674
Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training
Minghao Xu, Jiaze Song, Keming Wu, Xiangxin Zhou, Bin Cui, Wentao Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69675-69688
ProSec: Fortifying Code LLMs with Proactive Security Alignment
Xiangzhe Xu, Zian Su, Jinyao Guo, Kaiyuan Zhang, Zhenting Wang, Xiangyu Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69689-69704
Heterogeneous Label Shift: Theory and Algorithm
Chao Xu, Xijia Tang, Chenping Hou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69705-69724
KV Shifting Attention Enhances Language Modeling
Mingyu Xu, Bingning Wang, Weipeng Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69725-69748
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
Renzhe Xu, Kang Wang, Bo Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69749-69771
Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction
Yiheng Xu, Zekun Wang, Junli Wang, Dunjie Lu, Tianbao Xie, Amrita Saha, Doyen Sahoo, Tao Yu, Caiming Xiong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69772-69805
Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales
Jiaze Xu, Shiyu Xia, Xu Yang, Jiaqi Lv, Xin Geng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69806-69818
XAttention: Block Sparse Attention with Antidiagonal Scoring
Ruyi Xu, Guangxuan Xiao, Haofeng Huang, Junxian Guo, Song Han; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69819-69831
MDDM: Practical Message-Driven Generative Image Steganography Based on Diffusion Models
Zihao Xu, Dawei Xu, Zihan Li, Chuan Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69832-69848
UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models
Xin Xu, Qiyun Xu, Tong Xiao, Tianhao Chen, Yuchen Yan, Jiaxin Zhang, Shizhe Diao, Can Yang, Yang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69849-69877
CogReact: A Reinforced Framework to Model Human Cognitive Reaction Modulated by Dynamic Intervention
Songlin Xu, Xinyu Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69878-69907
CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes
Zelin Xu, Yupu Zhang, Tingsong Xiao, Maitane Olabarrieta Lizaso, Jose M. Gonzalez-Ondina, Zibo Liu, Shigang Chen, Zhe Jiang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69908-69920
Phase and Amplitude-aware Prompting for Enhancing Adversarial Robustness
Yibo Xu, Dawei Zhou, Decheng Liu, Nannan Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69921-69935
DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning
Xiaolong Xu, Yibo Zhou, Haolong Xiang, Xiaoyong Li, Xuyun Zhang, Lianyong Qi, Wanchun Dou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69936-69949
Unlocking the Power of SAM 2 for Few-Shot Segmentation
Qianxiong Xu, Lanyun Zhu, Xuanyi Liu, Guosheng Lin, Cheng Long, Ziyue Li, Rui Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69950-69966
Meta-Reinforcement Learning with Adaptation from Human Feedback via Preference-Order-Preserving Task Embedding
Siyuan Xu, Minghui Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69967-69991
Reducing Tool Hallucination via Reliability Alignment
Hongshen Xu, Zichen Zhu, Lei Pan, Zihan Wang, Su Zhu, Da Ma, Ruisheng Cao, Lu Chen, Kai Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:69992-70006
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
Qi Xu, Junyang Zhu, Dongdong Zhou, Hao Chen, Yang Liu, Jiangrong Shen, Qiang Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70007-70019
Test-time Adapted Reinforcement Learning with Action Entropy Regularization
Shoukai Xu, Zihao Lian, Mingkui Tan, Liu Liu, Zhong Zhang, Peilin Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70020-70031
Componential Prompt-Knowledge Alignment for Domain Incremental Learning
Kunlun Xu, Xu Zou, Gang Hua, Jiahuan Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70032-70046
RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization
Chen Xu, Yuxuan Yue, Zukang Xu, Xing Hu, Jiangyong Yu, Zhixuan Chen, Sifan Zhou, Zhihang Yuan, Dawei Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70047-70064
Multi-objective Linear Reinforcement Learning with Lexicographic Rewards
Bo Xue, Dake Bu, Ji Cheng, Yuanyu Wan, Qingfu Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70065-70085
Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning
Zhenghai Xue, Lang Feng, Jiacheng Xu, Kang Kang, Xiang Wen, Bo An, Shuicheng Yan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70086-70104
PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering
Xuqian Xue, Yiming Lei, Qi Cai, Hongming Shan, Junping Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70105-70119
Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions
Yihao Xue, Jiping Li, Baharan Mirzasoleiman; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70120-70159
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
Rui Xue, Tong Zhao, Neil Shah, Xiaorui Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70160-70182
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
Chhavi Yadav, Evan Laufer, Dan Boneh, Kamalika Chaudhuri; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70183-70204
Plausible Token Amplification for Improving Accuracy of Differentially Private In-Context Learning Based on Implicit Bayesian Inference
Yusuke Yamasaki, Kenta Niwa, Daiki Chijiwa, Takumi Fukami, Takayuki Miura; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70205-70248
Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport
Yuguang Yan, Zongyu Li, Haolin Yang, Zeqin Yang, Hao Zhou, Ruichu Cai, Zhifeng Hao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70249-70267
Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
Zhiyuan Yan, Jiangming Wang, Peng Jin, Ke-Yue Zhang, Chengchun Liu, Shen Chen, Taiping Yao, Shouhong Ding, Baoyuan Wu, Li Yuan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70268-70288
Training High Performance Spiking Neural Network by Temporal Model Calibration
Jiaqi Yan, Changping Wang, De Ma, Huajin Tang, Qian Zheng, Gang Pan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70289-70308
CALM: Consensus-Aware Localized Merging for Multi-Task Learning
Kunda Yan, Min Zhang, Sen Cui, Qu Zikun, Bo Jiang, Feng Liu, Changshui Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70309-70329
Heterogeneous Sufficient Dimension Reduction and Subspace Clustering
Lei Yan, Xin Zhang, Qing Mai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70330-70409
Momentum-Driven Adaptivity: Towards Tuning-Free Asynchronous Federated Learning
Wenjing Yan, Xiangyu Zhong, Xiaolu Wang, Ying-Jun Angela Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70410-70441
Survival Analysis via Density Estimation
Hiroki Yanagisawa, Shunta Akiyama; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70442-70471
A New Concentration Inequality for Sampling Without Replacement and Its Application for Transductive Learning
Yingzhen Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70472-70497
The Hidden Joules: Evaluating the Energy Consumption of Vision Backbones for Progress Towards More Efficient Model Inference
Zeyu Yang, Wesley Armour; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70498-70514
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
Yukang Yang, Declan Iain Campbell, Kaixuan Huang, Mengdi Wang, Jonathan D. Cohen, Taylor Whittington Webb; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70515-70549
HyperIV: Real-time Implied Volatility Smoothing
Yongxin Yang, Wenqi Chen, Chao Shu, Timothy Hospedales; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70550-70564
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents
Rui Yang, Hanyang Chen, Junyu Zhang, Mark Zhao, Cheng Qian, Kangrui Wang, Qineng Wang, Teja Venkat Koripella, Marziyeh Movahedi, Manling Li, Heng Ji, Huan Zhang, Tong Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70576-70631
Disentangled Graph Spectral Domain Adaptation
Liang Yang, Xin Chen, Jiaming Zhuo, Di Jin, Chuan Wang, Xiaochun Cao, Zhen Wang, Yuanfang Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70632-70648
Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation
Yiming Yang, Xiaoyuan Cheng, Daniel Giles, Sibo Cheng, Yi He, Xiao Xue, Boli Chen, Yukun Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70649-70679
Evolving Minds: Logic-Informed Inference from Temporal Action Patterns
Chao Yang, Shuting Cui, Yang Yang, Shuang Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70680-70703
Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games
Tong Yang, Bo Dai, Lin Xiao, Yuejie Chi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70704-70744
Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation
Yihao Yang, Wenke Huang, Guancheng Wan, Bin Yang, Mang Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70745-70755
Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme
Ruofeng Yang, Bo Jiang, Cheng Chen, Shuai Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70756-70775
Learning Adaptive Lighting via Channel-Aware Guidance
Qirui Yang, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li, Huanjing Yue, Jingyu Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70776-70792
Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction
Shu-Wen Yang, Byeonggeun Kim, Kuan-Po Huang, Qingming Tang, Huy Phan, Bo-Ru Lu, Harshavardhan Sundar, Shalini Ghosh, Hung-Yi Lee, Chieh-Chi Kao, Chao Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70793-70812
Hgformer: Hyperbolic Graph Transformer for Collaborative Filtering
Xin Yang, Xingrun Li, Heng Chang, Yang Jinze, Xihong Yang, Shengyu Tao, Maiko Shigeno, Ningkang Chang, Junfeng Wang, Dawei Yin, Erxue Min; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70813-70832
Let LLM Tell What to Prune and How Much to Prune
Mingzhe Yang, Sihao Lin, Changlin Li, Xiaojun Chang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70833-70849
ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling
Dongchao Yang, Songxiang Liu, Haohan Guo, Jiankun Zhao, Yuanyuan Wang, Helin Wang, Zeqian Ju, Xubo Liu, Xueyuan Chen, Xu Tan, Xixin Wu, Helen M. Meng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70850-70872
Do We Really Need Message Passing in Brain Network Modeling?
Liang Yang, Yuwei Liu, Jiaming Zhuo, Di Jin, Chuan Wang, Zhen Wang, Xiaochun Cao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70873-70887
Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs
Haoming Yang, Ke Ma, Xiaojun Jia, Yingfei Sun, Qianqian Xu, Qingming Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70888-70913
MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition
Yuhuan Yang, Chaofan Ma, Zhenjie Mao, Jiangchao Yao, Ya Zhang, Yanfeng Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70914-70926
KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies
Shih-Min Yang, Martin Magnusson, Johannes A. Stork, Todor Stoyanov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70927-70942
BAME: Block-Aware Mask Evolution for Efficient N:M Sparse Training
Chenyi Yang, Wenjie Nie, Yuxin Zhang, Yuhang Wu, Xiawu Zheng, Guannan Jiang, Rongrong Ji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70943-70952
SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification
Shuo Yang, Bardh Prenkaj, Gjergji Kasneci; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70953-70972
CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging
Zongzhen Yang, Binhang Qi, Hailong Sun, Wenrui Long, Ruobing Zhao, Xiang Gao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:70973-70999
Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate
Yingzhen Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71000-71033
Concept-Centric Token Interpretation for Vector-Quantized Generative Models
Tianze Yang, Yucheng Shi, Mengnan Du, Xuansheng Wu, Qiaoyu Tan, Jin Sun, Ninghao Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71034-71050
On the Tension between Byzantine Robustness and No-Attack Accuracy in Distributed Learning
Yi-Rui Yang, Chang-Wei Shi, Wu-Jun Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71051-71072
HaploVL: A Single-Transformer Baseline for Multi-Modal Understanding
Rui Yang, Lin Song, Yicheng Xiao, Runhui Huang, Yixiao Ge, Ying Shan, Hengshuang Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71073-71091
PENCIL: Long Thoughts with Short Memory
Chenxiao Yang, Nathan Srebro, David Mcallester, Zhiyuan Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71092-71156
One-Shot Heterogeneous Federated Learning with Local Model-Guided Diffusion Models
Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71157-71176
Demystifying Long Chain-of-Thought Reasoning
Shiming Yang, Yuxuan Tong, Xinyao Niu, Graham Neubig, Xiang Yue; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71177-71209
Neural Guided Diffusion Bridges
Gefan Yang, Frank Van Der Meulen, Stefan Sommer; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71210-71230
Mixture of Experts Made Intrinsically Interpretable
Xingyi Yang, Constantin Venhoff, Ashkan Khakzar, Christian Schroeder De Witt, Puneet K. Dokania, Adel Bibi, Philip Torr; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71231-71248
Dimension-Free Adaptive Subgradient Methods with Frequent Directions
Sifan Yang, Yuanyu Wan, Peijia Li, Yibo Wang, Xiao Zhang, Zhewei Wei, Lijun Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71249-71274
Variance as a Catalyst: Efficient and Transferable Semantic Erasure Adversarial Attack for Customized Diffusion Models
Jiachen Yang, Yusong Wang, Yanmei Fang, Yunshu Dai, Fangjun Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71275-71301
Efficient Quantification of Multimodal Interaction at Sample Level
Zequn Yang, Hongfa Wang, Di Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71302-71317
Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning
Puning Yang, Qizhou Wang, Zhuo Huang, Tongliang Liu, Chengqi Zhang, Bo Han; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71318-71357
Non-asymptotic Error Bounds in $\mathcalW_2$-Distance with Sqrt(d) Dimension Dependence and First Order Convergence for Langevin Monte Carlo beyond Log-Concavity
Bin Yang, Xiaojie Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71358-71382
Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios
Xihong Yang, Siwei Wang, Fangdi Wang, Jiaqi Jin, Suyuan Liu, Yue Liu, En Zhu, Xinwang Liu, Yueming Jin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71383-71404
DVI:A Derivative-based Vision Network for INR
Runzhao Yang, Xiaolong Wu, Zhihong Zhang, Fabian Zhang, Tingxiong Xiao, Zongren Li, Kunlun He, Jinli Suo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71405-71424
One Leaf Reveals the Season: Occlusion-Based Contrastive Learning with Semantic-Aware Views for Efficient Visual Representation
Xiaoyu Yang, Lijian Xu, Hongsheng Li, Shaoting Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71425-71440
Strengthen Out-of-Distribution Detection Capability with Progressive Self-Knowledge Distillation
Yang Yang, Haonan Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71441-71458
Q-Supervised Contrastive Representation: A State Decoupling Framework for Safe Offline Reinforcement Learning
Zhihe Yang, Yunjian Xu, Yang Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71459-71486
HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud Encoder
Qi Yang, Le Yang, Geert Van Der Auwera, Zhu Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71487-71507
When Dynamic Data Selection Meets Data Augmentation: Achieving Enhanced Training Acceleration
Suorong Yang, Peng Ye, Furao Shen, Dongzhan Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71508-71520
Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger
Qi Yang, Chenghao Zhang, Lubin Fan, Kun Ding, Jieping Ye, Shiming Xiang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71521-71542
unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning
Yafei Yang, Zihui Zhang, Bo Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71543-71568
Neural Event-Triggered Control with Optimal Scheduling
Luan Yang, Jingdong Zhang, Qunxi Zhu, Wei Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71569-71592
Enhancing Graph Invariant Learning from a Negative Inference Perspective
Kuo Yang, Zhengyang Zhou, Qihe Huang, Wenjie Du, Limin Li, Wu Jiang, Yang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71593-71611
Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization
Yucheng Yang, Tianyi Zhou, Mykola Pechenizkiy, Meng Fang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71612-71647
SPACE: Your Genomic Profile Predictor is a Powerful DNA Foundation Model
Zhao Yang, Jiwei Zhu, Bing Su; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71648-71667
Arrow: Accelerator for Time Series Causal Discovery with Time Weaving
Yuanyuan Yao, Yuan Dong, Lu Chen, Kun Kuang, Ziquan Fang, Cheng Long, Yunjun Gao, Tianyi Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71668-71686
Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization
Michael S Yao, James Gee, Osbert Bastani; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71687-71738
Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective
Yunzhen Yao, Lie He, Michael Gastpar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71739-71764
OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance
Yongqiang Yao, Jingru Tan, Feizhao Zhang, Jiahao Hu, Yazhe Niu, Jin Xin, Bo Li, Pengfei Liu, Ruihao Gong, Dahua Lin, Ningyi Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71765-71779
Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration
Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Ruipu Zhao, Zhoupeng Guo, Weihao Li, Qinghua Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71780-71797
Understanding Model Ensemble in Transferable Adversarial Attack
Wei Yao, Zeliang Zhang, Huayi Tang, Yong Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71798-71833
An Analysis for Reasoning Bias of Language Models with Small Initialization
Junjie Yao, Zhongwang Zhang, Zhi-Qin John Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71834-71864
Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation
Yaowen Hu, Wenxuan Tu, Yue Liu, Xinhang Wan, Junyi Yan, Taichun Zhou, Xinwang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71865-71883
Near Optimal Best Arm Identification for Clustered Bandits
Yash, Avishek Ghosh, Nikhil Karamchandani; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71884-71909
Reward-Guided Prompt Evolving in Reinforcement Learning for LLMs
Ziyu Ye, Rishabh Agarwal, Tianqi Liu, Rishabh Joshi, Sarmishta Velury, Quoc V Le, Qijun Tan, Yuan Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71910-71937
Emotional Face-to-Speech
Jiaxin Ye, Boyuan Cao, Hongming Shan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71938-71958
An Online Adaptive Sampling Algorithm for Stochastic Difference-of-convex Optimization with Time-varying Distributions
Yuhan Ye, Ying Cui, Jingyi Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71959-71978
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings
Yilin Ye, Junchao Huang, Xingchen Zeng, Jiazhi Xia, Wei Zeng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71979-71997
Catoni Contextual Bandits are Robust to Heavy-tailed Rewards
Chenlu Ye, Yujia Jin, Alekh Agarwal, Tong Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:71998-72040
Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$
Shengbin Ye, Meng Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72041-72062
MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems
Rui Ye, Shuo Tang, Rui Ge, Yaxin Du, Zhenfei Yin, Siheng Chen, Jing Shao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72063-72090
Towards Robust Influence Functions with Flat Validation Minima
Xichen Ye, Yifan Wu, Weizhong Zhang, Cheng Jin, Yifan Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72091-72111
Non-stationary Diffusion For Probabilistic Time Series Forecasting
Weiwei Ye, Zhuopeng Xu, Ning Gui; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72112-72130
Large Language Model-driven Large Neighborhood Search for Large-Scale MILP Problems
Huigen Ye, Hua Xu, An Yan, Yaoyang Cheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72131-72180
Action-Constrained Imitation Learning
Chia-Han Yeh, Tse-Sheng Nan, Risto Vuorio, Wei Hung, Hung Yen Wu, Shao-Hua Sun, Ping-Chun Hsieh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72181-72195
A Causal World Model Underlying Next Token Prediction: Exploring GPT in a Controlled Environment
Raanan Yehezkel Rohekar, Yaniv Gurwicz, Sungduk Yu, Estelle Aflalo, Vasudev Lal; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72196-72209
Relational Invariant Learning for Robust Solvation Free Energy Prediction
Yeyun Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72210-72227
MIPT: Multilevel Informed Prompt Tuning for Robust Molecular Property Prediction
Yeyun Chen, Jiangming Shi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72228-72243
All-atom inverse protein folding through discrete flow matching
Kai Yi, Kiarash Jamali, Sjors Hw Scheres; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72244-72257
iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
Huahui Yi, Wei Xu, Ziyuan Qin, Xi Chen, Xiaohu Wu, Kang Li, Qicheng Lao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72258-72276
From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium
Xie Yi, Zhanke Zhou, Chentao Cao, Qiyu Niu, Tongliang Liu, Bo Han; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72277-72316
Random Registers for Cross-Domain Few-Shot Learning
Shuai Yi, Yixiong Zou, Yuhua Li, Ruixuan Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72317-72333
Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning
Shuai Yi, Yixiong Zou, Yuhua Li, Ruixuan Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72334-72348
Constrain Alignment with Sparse Autoencoders
Qingyu Yin, Chak Tou Leong, Hongbo Zhang, Minjun Zhu, Hanqi Yan, Qiang Zhang, Yulan He, Wenjie Li, Jun Wang, Yue Zhang, Linyi Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72349-72363
TraceGrad: a Framework Learning Expressive SO(3)-equivariant Non-linear Representations for Electronic-Structure Hamiltonian Prediction
Shi Yin, Xinyang Pan, Fengyan Wang, Lixin He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72364-72392
From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models
Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72393-72413
A Recipe for Causal Graph Regression: Confounding Effects Revisited
Yujia Yin, Tianyi Qu, Zihao Wang, Yifan Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72414-72427
Which Attention Heads Matter for In-Context Learning?
Kayo Yin, Jacob Steinhardt; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72428-72461
Trajectory World Models for Heterogeneous Environments
Shaofeng Yin, Jialong Wu, Siqiao Huang, Xingjian Su, Xu He, Jianye Hao, Mingsheng Long; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72462-72484
CFP-Gen: Combinatorial Functional Protein Generation via Diffusion Language Models
Junbo Yin, Chao Zha, Wenjia He, Chencheng Xu, Xin Gao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72485-72504
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
Chao Ying, Jun Jin, Yi Guo, Xiudi Li, Muxuan Liang, Jiwei Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72505-72534
Interpreting the Repeated Token Phenomenon in Large Language Models
Itay Yona, Ilia Shumailov, Jamie Hayes, Yossi Gandelsman; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72535-72555
World Model Implanting for Test-time Adaptation of Embodied Agents
Minjong Yoo, Jinwoo Jang, Sihyung Yoon, Honguk Woo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72556-72573
Understanding Sharpness Dynamics in NN Training with a Minimalist Example: The Effects of Dataset Difficulty, Depth, Stochasticity, and More
Geonhui Yoo, Minhak Song, Chulhee Yun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72574-72617
Monte Carlo Tree Diffusion for System 2 Planning
Jaesik Yoon, Hyeonseo Cho, Doojin Baek, Yoshua Bengio, Sungjin Ahn; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72618-72640
ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization
Hee Suk Yoon, Eunseop Yoon, Mark A. Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72641-72655
Quadratic Upper Bound for Boosting Robustness
Euijin You, Hyang-Won Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72656-72676
Maximum Total Correlation Reinforcement Learning
Bang You, Puze Liu, Huaping Liu, Jan Peters, Oleg Arenz; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72677-72699
Test-time Correlation Alignment
Linjing You, Jiabao Lu, Xiayuan Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72700-72729
Effective and Efficient Masked Image Generation Models
Zebin You, Jingyang Ou, Xiaolu Zhang, Jun Hu, Jun Zhou, Chongxuan Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72730-72746
Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups
Weiqiu You, Helen Qu, Marco Gatti, Bhuvnesh Jain, Eric Wong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72747-72785
Fully Heteroscedastic Count Regression with Deep Double Poisson Networks
Spencer Young, Porter Jenkins, Longchao Da, Jeff Dotson, Hua Wei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72786-72818
Radio: Rate–Distortion Optimization for Large Language Model Compression
Sean I. Young; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72819-72836
UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance
Fangchen Yu, Yanzhen Chen, Jiaxing Wei, Jianfeng Mao, Wenye Li, Qiang Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72837-72852
Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead
Shengju Yu, Yiu-Ming Cheung, Siwei Wang, Xinwang Liu, En Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72853-72894
From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering
Shengju Yu, Zhibin Dong, Siwei Wang, Suyuan Liu, Ke Liang, Xinwang Liu, Yue Liu, Yi Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72895-72924
Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection
Peipeng Yu, Jianwei Fei, Hui Gao, Xuan Feng, Zhihua Xia, Chip Hong Chang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72925-72943
Improving Compositional Generation with Diffusion Models Using Lift Scores
Chenning Yu, Sicun Gao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72944-72971
Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation
Zhuohao Yu, Weizheng Gu, Yidong Wang, Xingru Jiang, Zhengran Zeng, Jindong Wang, Wei Ye, Shikun Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72972-72994
LLM Data Selection and Utilization via Dynamic Bi-level Optimization
Yang Yu, Kai Han, Hang Zhou, Yehui Tang, Kaiqi Huang, Yunhe Wang, Dacheng Tao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:72995-73008
Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees
Xin Yu, Zelin He, Ying Sun, Lingzhou Xue, Runze Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73009-73050
ResearchTown: Simulator of Human Research Community
Haofei Yu, Zhaochen Hong, Zirui Cheng, Kunlun Zhu, Keyang Xuan, Jinwei Yao, Tao Feng, Jiaxuan You; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73051-73096
UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules
Ziyang Yu, Wenbing Huang, Yang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73097-73114
Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
Fangxu Yu, Lai Jiang, Haoqiang Kang, Shibo Hao, Lianhui Qin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73115-73145
Density Ratio Estimation with Conditional Probability Paths
Hanlin Yu, Arto Klami, Aapo Hyvarinen, Anna Korba, Omar Chehab; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73146-73174
On the Adversarial Robustness of Multi-Kernel Clustering
Hao Yu, Weixuan Liang, Ke Liang, Suyuan Liu, Meng Liu, Xinwang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73175-73196
MindCustomer: Multi-Context Image Generation Blended with Brain Signal
Muzhou Yu, Shuyun Lin, Lei Ma, Bo Lei, Kaisheng Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73197-73220
Causal Invariance-aware Augmentation for Brain Graph Contrastive Learning
Minqi Yu, Jinduo Liu, Junzhong Ji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73221-73240
Ultra-Resolution Adaptation with Ease
Ruonan Yu, Songhua Liu, Zhenxiong Tan, Xinchao Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73241-73261
Optimal and Practical Batched Linear Bandit Algorithm
Sanghoon Yu, Min-Hwan Oh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73262-73285
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
Yi Yu, Song Xia, Siyuan Yang, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex Kot; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73286-73303
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
Zishun Yu, Tengyu Xu, Di Jin, Karthik Abinav Sankararaman, Yun He, Wenxuan Zhou, Zhouhao Zeng, Eryk Helenowski, Chen Zhu, Sinong Wang, Hao Ma, Han Fang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73304-73325
Beyond Self-Interest: How Group Strategies Reshape Content Creation in Recommendation Platforms?
Yaolong Yu, Fan Yao, Sinno Jialin Pan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73326-73349
R.I.P.: Better Models by Survival of the Fittest Prompts
Ping Yu, Weizhe Yuan, Olga Golovneva, Tianhao Wu, Sainbayar Sukhbaatar, Jason E Weston, Jing Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73350-73374
Continuous Semi-Implicit Models
Longlin Yu, Jiajun Zha, Tong Yang, Tianyu Xie, Xiangyu Zhang, S.-H. Chan, Cheng Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73375-73400
TS-SNN: Temporal Shift Module for Spiking Neural Networks
Kairong Yu, Tianqing Zhang, Qi Xu, Gang Pan, Hongwei Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73401-73415
OrcaLoca: An LLM Agent Framework for Software Issue Localization
Zhongming Yu, Hejia Zhang, Yujie Zhao, Hanxian Huang, Matrix Yao, Ke Ding, Jishen Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73416-73436
Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment
Chengting Yu, Xiaochen Zhao, Lei Liu, Shu Yang, Gaoang Wang, Erping Li, Aili Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73437-73454
Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis
Ruoxin Yuan, Guanhua Fang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73455-73477
Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal
Deheng Yuan, Tao Guo, Zhongyi Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73478-73510
Free Process Rewards without Process Labels
Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kaiyan Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73511-73525
Deep Streaming View Clustering
Honglin Yuan, Xingfeng Li, Jian Dai, Xiaojian You, Yuan Sun, Zhenwen Ren; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73526-73540
Omni-Angle Assault: An Invisible and Powerful Physical Adversarial Attack on Face Recognition
Shuai Yuan, Hongwei Li, Rui Zhang, Hangcheng Cao, Wenbo Jiang, Tao Ni, Wenshu Fan, Qingchuan Zhao, Guowen Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73541-73552
MARS: Unleashing the Power of Variance Reduction for Training Large Models
Huizhuo Yuan, Yifeng Liu, Shuang Wu, Zhou Xun, Quanquan Gu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73553-73587
CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing
Yu Yuan, Shizhao Sun, Qi Liu, Jiang Bian; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73588-73603
How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees
Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, Philip S. Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73604-73644
Protein Structure Tokenization: Benchmarking and New Recipe
Xinyu Yuan, Zichen Wang, Marcus D. Collins, Huzefa Rangwala; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73645-73670
Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts
Yike Yuan, Ziyu Wang, Zihao Huang, Defa Zhu, Xun Zhou, Jingyi Yu, Qiyang Min; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73671-73682
Stray Intrusive Outliers-Based Feature Selection on Intra-Class Asymmetric Instance Distribution or Multiple High-Density Clusters
Lixin Yuan, Yirui Wu, Wenxiao Zhang, Minglei Yuan, Jun Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73683-73700
Reinforce LLM Reasoning through Multi-Agent Reflection
Yurun Yuan, Tengyang Xie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73701-73731
Efficient Long Context Fine-tuning with Chunk Flow
Xiulong Yuan, Hongtao Xu, Wenting Shen, Ang Wang, Xiafei Qiu, Jie Zhang, Yuqiong Liu, Bowen Yu, Junyang Lin, Mingzhen Li, Weile Jia, Yong Li, Wei Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73732-73742
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
Yifu Yuan, Zhenrui Zheng, Zibin Dong, Jianye Hao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73743-73766
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning
Bo Yue, Jian Li, Guiliang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73767-73809
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations
Juwei Yue, Haikuo Li, Jiawei Sheng, Xiaodong Li, Taoyu Su, Tingwen Liu, Li Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73810-73827
ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation
Angxiao Yue, Zichong Wang, Hongteng Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73828-73850
Optimal Information Retention for Time-Series Explanations
Jinghang Yue, Jing Wang, Lu Zhang, Shuo Zhang, Da Li, Zhaoyang Ma, Youfang Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73851-73876
Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space
Xihang Yue, Yi Yang, Linchao Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73877-73896
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization
Taeyoung Yun, Kiyoung Om, Jaewoo Lee, Sujin Yun, Jinkyoo Park; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73897-73917
Interpreting CLIP with Hierarchical Sparse Autoencoders
Vladimir Zaigrajew, Hubert Baniecki, Przemyslaw Biecek; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73918-73956
Guided Search Strategies in Non-Serializable Environments with Applications to Software Engineering Agents
Karina Zainullina, Alexander Golubev, Maria Trofimova, Sergei Polezhaev, Ibragim Badertdinov, Daria Litvintseva, Simon Karasik, Filipp Fisin, Sergei Skvortsov, Maksim Nekrashevich, Anton Shevtsov, Boris Yangel; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73957-73973
Adaptive Data Collection for Robust Learning Across Multiple Distributions
Chengbo Zang, Mehmet Kerem Turkcan, Gil Zussman, Zoran Kostic, Javad Ghaderi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73974-73994
Regress, Don’t Guess: A Regression-like Loss on Number Tokens for Language Models
Jonas Zausinger, Lars Pennig, Anamarija Kozina, Sean Sdahl, Julian Sikora, Adrian Dendorfer, Timofey Kuznetsov, Mohamad Hagog, Nina Wiedemann, Kacper Chlodny, Vincent Limbach, Anna Ketteler, Thorben Prein, Vishwa Mohan Singh, Michael Danziger, Jannis Born; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:73995-74017
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
Matteo Zecchin, Sangwoo Park, Osvaldo Simeone; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74018-74036
AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models
Yaopei Zeng, Yuanpu Cao, Bochuan Cao, Yurui Chang, Jinghui Chen, Lu Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74037-74050
TabFlex: Scaling Tabular Learning to Millions with Linear Attention
Yuchen Zeng, Tuan Dinh, Wonjun Kang, Andreas C Mueller; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74051-74079
Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning
Hui Zeng, Wenke Huang, Tongqing Zhou, Xinyi Wu, Guancheng Wan, Yingwen Chen, Zhiping Cai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74080-74097
Stability and Generalization Analysis of Decentralized SGD: Sharper Bounds Beyond Lipschitzness and Smoothness
Shuang Zeng, Yunwen Lei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74098-74132
Parametric Scaling Law of Tuning Bias in Conformal Prediction
Hao Zeng, Kangdao Liu, Bingyi Jing, Hongxin Wei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74133-74156
Graph Diffusion for Robust Multi-Agent Coordination
Xianghua Zeng, Hang Su, Zhengyi Wang, Zhiyuan Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74157-74174
LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
Xinyue Zeng, Haohui Wang, Junhong Lin, Jun Wu, Tyler Cody, Dawei Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74175-74196
VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data
Thomas Zeng, Shuibai Zhang, Shutong Wu, Christian Classen, Daewon Chae, Ethan Ewer, Minjae Lee, Heeju Kim, Wonjun Kang, Jackson Kunde, Ying Fan, Jungtaek Kim, Hyung Il Koo, Kannan Ramchandran, Dimitris Papailiopoulos, Kangwook Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74197-74239
When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets
Chen Zeno, Hila Manor, Greg Ongie, Nir Weinberger, Tomer Michaeli, Daniel Soudry; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74240-74270
Exploring Vision Semantic Prompt for Efficient Point Cloud Understanding
Yixin Zha, Chuxin Wang, Wenfei Yang, Tianzhu Zhang, Feng Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74271-74287
EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations
Haotian Zhai, Connor Lawless, Ellen Vitercik, Liu Leqi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74288-74305
Peripheral Memory for LLMs: Integration of Sequential Memory Banks with Adaptive Querying
Songlin Zhai, Yuan Meng, Yongrui Chen, Yiwei Wang, Guilin Qi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74306-74317
Contextures: Representations from Contexts
Runtian Zhai, Kai Yang, Burak Varıcı, Che-Ping Tsai, J Zico Kolter, Pradeep Kumar Ravikumar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74318-74347
Normalizing Flows are Capable Generative Models
Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran, David Berthelot, Jiatao Gu, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Navdeep Jaitly, Joshua M. Susskind; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74348-74369
SPRI: Aligning Large Language Models with Context-Situated Principles
Hongli Zhan, Muneeza Azmat, Raya Horesh, Junyi Jessy Li, Mikhail Yurochkin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74370-74405
UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation
Wangzhi Zhan, Jianpeng Chen, Dongqi Fu, Dawei Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74406-74421
Expected Variational Inequalities
Brian Hu Zhang, Ioannis Anagnostides, Emanuel Tewolde, Ratip Emin Berker, Gabriele Farina, Vincent Conitzer, Tuomas Sandholm; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74422-74446
LEMoN: Label Error Detection using Multimodal Neighbors
Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74447-74489
Preconditioned Riemannian Gradient Descent Algorithm for Low-Multilinear-Rank Tensor Completion
Yuanwei Zhang, Fengmiao Bian, Xiaoqun Zhang, Jian-Feng Cai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74490-74514
Nonparametric Teaching for Graph Property Learners
Chen Zhang, Weixin Bu, Zeyi Ren, Zhengwu Liu, Yik Chung Wu, Ngai Wong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74515-74539
CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
Zhe Zhang, Mingxiu Cai, Hanxiao Wang, Gaochang Wu, Tianyou Chai, Xiatian Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74540-74564
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos
Tianyi Zhang, Yu Cao, Dianbo Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74565-74582
CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty
Harry Zhang, Luca Carlone; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74583-74601
Ad Hoc Teamwork via Offline Goal-Based Decision Transformers
Xinzhi Zhang, Hohei Chan, Deheng Ye, Yi Cai, Mengchen Zhao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74602-74616
When Maximum Entropy Misleads Policy Optimization
Ruipeng Zhang, Ya-Chien Chang, Sicun Gao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74617-74638
When do neural networks learn world models?
Tianren Zhang, Guanyu Chen, Feng Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74639-74670
Structure-Guided Large Language Models for Text-to-SQL Generation
Qinggang Zhang, Hao Chen, Junnan Dong, Shengyuan Chen, Feiran Huang, Xiao Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74671-74691
Minimax Optimal Regret Bound for Reinforcement Learning with Trajectory Feedback
Zihan Zhang, Yuxin Chen, Jason D. Lee, Simon Shaolei Du, Ruosong Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74692-74713
Fast Video Generation with Sliding Tile Attention
Peiyuan Zhang, Yongqi Chen, Runlong Su, Hangliang Ding, Ion Stoica, Zhengzhong Liu, Hao Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74714-74731
Primitive Vision: Improving Diagram Understanding in MLLMs
Shan Zhang, Aotian Chen, Yanpeng Sun, Jindong Gu, Yi-Yu Zheng, Piotr Koniusz, Kai Zou, Anton Van Den Hengel, Yuan Xue; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74732-74755
Unconstrained Robust Online Convex Optimization
Jiujia Zhang, Ashok Cutkosky; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74756-74786
Learning from others’ mistakes: Finetuning machine translation models with span-level error annotations
Lily H Zhang, Hamid Dadkhahi, Mara Finkelstein, Firas Trabelsi, Jiaming Luo, Markus Freitag; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74787-74803
Scaling Probabilistic Circuits via Monarch Matrices
Honghua Zhang, Meihua Dang, Benjie Wang, Stefano Ermon, Nanyun Peng, Guy Van Den Broeck; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74804-74818
Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation
Jiaxuan Zhang, Emadeldeen Eldele, Fuyuan Cao, Yang Wang, Xiaoli Li, Jiye Liang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74819-74839
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Yuan Zhang, Chun-Kai Fan, Junpeng Ma, Wenzhao Zheng, Tao Huang, Kuan Cheng, Denis A Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74840-74857
TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data
Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74858-74881
Hardware and Software Platform Inference
Cheng Zhang, Hanna Foerster, Robert D. Mullins, Yiren Zhao, Ilia Shumailov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74882-74895
MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance
Yuang Zhang, Jiaxi Gu, Li-Wen Wang, Han Wang, Junqi Cheng, Yuefeng Zhu, Fangyuan Zou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74896-74910
UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent
Jianke Zhang, Yanjiang Guo, Yucheng Hu, Xiaoyu Chen, Xiang Zhu, Jianyu Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74911-74922
Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference
Ce Zhang, Yixin Han, Yafei Wang, Xiaodong Yan, Linglong Kong, Ting Li, Bei Jiang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74923-74937
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
Xiang Zhang, Run He, Chen Jiao, Di Fang, Ming Li, Ziqian Zeng, Cen Chen, Huiping Zhuang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74938-74949
Training Diffusion-based Generative Models with Limited Data
Zhaoyu Zhang, Yang Hua, Guanxiong Sun, Hui Wang, Seán Mcloone; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74950-74965
KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems
Jusheng Zhang, Zimeng Huang, Yijia Fan, Ningyuan Liu, Mingyan Li, Zhuojie Yang, Jiawei Yao, Jian Wang, Keze Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74966-74996
Generalized Smooth Bilevel Optimization with Nonconvex Lower-Level
Siqi Zhang, Xing Huang, Feihu Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:74997-75029
Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints
Qixin Zhang, Wei Huang, Can Jin, Puning Zhao, Yao Shu, Li Shen, Dacheng Tao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75030-75066
Testing Conditional Mean Independence Using Generative Neural Networks
Yi Zhang, Linjun Huang, Yun Yang, Xiaofeng Shao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75067-75096
SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization
Jintao Zhang, Haofeng Huang, Pengle Zhang, Jia Wei, Jun Zhu, Jianfei Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75097-75119
High Dynamic Range Novel View Synthesis with Single Exposure
Kaixuan Zhang, Hu Wang, Minxian Li, Mingwu Ren, Mao Ye, Xiatian Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75120-75131
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning
Chi Zhang, Ziying Jia, George K. Atia, Sihong He, Yue Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75132-75177
TLLC: Transfer Learning-based Label Completion for Crowdsourcing
Wenjun Zhang, Liangxiao Jiang, Chaoqun Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75178-75191
Minimalist Concept Erasure in Generative Models
Yang Zhang, Er Jin, Yanfei Dong, Yixuan Wu, Philip Torr, Ashkan Khakzar, Johannes Stegmaier, Kenji Kawaguchi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75192-75215
Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization
Peiyan Zhang, Haibo Jin, Leyang Hu, Xinnuo Li, Liying Kang, Man Luo, Yangqiu Song, Haohan Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75216-75233
Noise-Guided Predicate Representation Extraction and Diffusion-Enhanced Discretization for Scene Graph Generation
Guoqing Zhang, Shichao Kan, Fanghui Zhang, Wanru Xu, Yue Zhang, Yigang Cen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75234-75252
LLMScan: Causal Scan for LLM Misbehavior Detection
Mengdi Zhang, Goh Kai Kiat, Peixin Zhang, Jun Sun, Lin Xin Rose, Hongyu Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75253-75282
MP-Nav: Enhancing Data Poisoning Attacks against Multimodal Learning
Jingfeng Zhang, Prashanth Krishnamurthy, Naman Patel, Anthony Tzes, Farshad Khorrami; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75283-75296
Joker: Joint Optimization Framework for Lightweight Kernel Machines
Junhong Zhang, Zhihui Lai; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75297-75313
On Exact Bit-level Reversible Transformers Without Changing Architecture
Guoqiang Zhang, Jp Lewis, W. Bastiaan Kleijn; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75314-75328
Online Differentially Private Conformal Prediction for Uncertainty Quantification
Qiangqiang Zhang, Ting Li, Xinwei Feng, Xiaodong Yan, Jinhan Xie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75329-75368
Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing
Zhuoran Zhang, Yongxiang Li, Zijian Kan, Keyuan Cheng, Lijie Hu, Di Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75369-75391
Rhomboid Tiling for Geometric Graph Deep Learning
Yipeng Zhang, Longlong Li, Kelin Xia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75392-75412
Multiobjective distribution matching
Xiaoyuan Zhang, Peijie Li, Yingying Yu, Yichi Zhang, Han Zhao, Qingfu Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75413-75426
Adaptive Self-improvement LLM Agentic System for ML Library Development
Genghan Zhang, Weixin Liang, Olivia Hsu, Kunle Olukotun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75427-75452
From Weight-Based to State-Based Fine-Tuning: Further Memory Reduction on LoRA with Parallel Control
Chi Zhang, Ren Lianhai, Jingpu Cheng, Qianxiao Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75453-75467
Learning Curves of Stochastic Gradient Descent in Kernel Regression
Haihan Zhang, Weicheng Lin, Yuanshi Liu, Cong Fang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75468-75502
EasyInv: Toward Fast and Better DDIM Inversion
Ziyue Zhang, Mingbao Lin, Shuicheng Yan, Rongrong Ji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75503-75512
LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently
Yuanhe Zhang, Fanghui Liu, Yudong Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75513-75574
PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs
Jianqing Zhang, Yang Liu, Jie Fu, Yang Hua, Tianyuan Zou, Jian Cao, Qiang Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75575-75590
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs
Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75591-75614
Causality Inspired Federated Learning for OOD Generalization
Jiayuan Zhang, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Haotian Yang, Xinghao Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75615-75637
M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation
Tao Zhang, Zhenhai Liu, Feipeng Qi, Yongjun Jiao, Tailin Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75638-75666
MetaAgent: Automatically Constructing Multi-Agent Systems Based on Finite State Machines
Yaolun Zhang, Xiaogeng Liu, Chaowei Xiao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75667-75694
Learning to Steer Learners in Games
Yizhou Zhang, Yian Ma, Eric Mazumdar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75695-75733
SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
Yitian Zhang, Liheng Ma, Antonios Valkanas, Boris N. Oreshkin, Mark Coates; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75734-75756
DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation
Yunbei Zhang, Akshay Mehra, Shuaicheng Niu, Jihun Hamm; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75757-75778
Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping
Muru Zhang, Mayank Mishra, Zhongzhu Zhou, William Brandon, Jue Wang, Yoon Kim, Jonathan Ragan-Kelley, Shuaiwen Leon Song, Ben Athiwaratkun, Tri Dao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75779-75792
On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning
Thomas Tck Zhang, Behrad Moniri, Ansh Nagwekar, Faraz Rahman, Anton Xue, Hamed Hassani, Nikolai Matni; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75793-75833
Multi-agent Architecture Search via Agentic Supernet
Guibin Zhang, Luyang Niu, Junfeng Fang, Kun Wang, Lei Bai, Xiang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75834-75852
Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning
Zhiyao Zhang, Myeung Suk Oh, Fnu Hairi, Ziyue Luo, Alvaro Velasquez, Jia Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75853-75877
Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner
Chunhui Zhang, Zhongyu Ouyang, Kwonjoon Lee, Nakul Agarwal, Sean Dae Houlihan, Soroush Vosoughi, Shao-Yuan Lo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75878-75900
Generalization Performance of Ensemble Clustering: From Theory to Algorithm
Xu Zhang, Haoye Qiu, Weixuan Liang, Hui Liu, Junhui Hou, Yuheng Jia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75901-75927
Preference learning made easy: Everything should be understood through win rate
Lily H Zhang, Rajesh Ranganath; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75928-75950
One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy
Jiacheng Zhang, Benjamin I. P. Rubinstein, Jingfeng Zhang, Feng Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75951-75970
The Ripple Effect: On Unforeseen Complications of Backdoor Attacks
Rui Zhang, Yun Shen, Hongwei Li, Wenbo Jiang, Hanxiao Chen, Yuan Zhang, Guowen Xu, Yang Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75971-75998
DiMa: Understanding the Hardness of Online Matching Problems via Diffusion Models
Boyu Zhang, Aocheng Shen, Bing Liu, Qiankun Zhang, Bin Yuan, Jing Wang, Shenghao Liu, Xianjun Deng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:75999-76022
Policy Filtration for RLHF to Mitigate Noise in Reward Models
Chuheng Zhang, Wei Shen, Li Zhao, Xuyun Zhang, Xiaolong Xu, Wanchun Dou, Jiang Bian; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76023-76046
Training Dynamics of In-Context Learning in Linear Attention
Yedi Zhang, Aaditya K Singh, Peter E. Latham, Andrew M Saxe; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76047-76087
Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation
Tianyi Zhang, Junda Su, Aditya Desai, Oscar Wu, Zhaozhuo Xu, Anshumali Shrivastava; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76088-76110
CellFlux: Simulating Cellular Morphology Changes via Flow Matching
Yuhui Zhang, Yuchang Su, Chenyu Wang, Tianhong Li, Zoe Wefers, Jeffrey J Nirschl, James Burgess, Daisy Ding, Alejandro Lozano, Emma Lundberg, Serena Yeung-Levy; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76111-76138
Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training
Mozhi Zhang, Howe Tissue, Lu Wang, Xipeng Qiu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76139-76158
ELMO : Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces
Jinbin Zhang, Nasib Ullah, Erik Schultheis, Rohit Babbar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76159-76174
Neural Encoding and Decoding at Scale
Yizi Zhang, Yanchen Wang, Mehdi Azabou, Alexandre Andre, Zixuan Wang, Hanrui Lyu, International Brain Laboratory, Eva L Dyer, Liam Paninski, Cole Lincoln Hurwitz; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76175-76192
Diverging Preferences: When do Annotators Disagree and do Models Know?
Michael Jq Zhang, Zhilin Wang, Jena D. Hwang, Yi Dong, Olivier Delalleau, Yejin Choi, Eunsol Choi, Xiang Ren, Valentina Pyatkin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76193-76212
Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution
Jiayu Zhang, Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jianlong Zhou, Fang Chen, Huaming Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76213-76224
Active Treatment Effect Estimation via Limited Samples
Zhiheng Zhang, Haoxiang Wang, Haoxuan Li, Zhouchen Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76225-76245
Contextual Linear Bandits with Delay as Payoff
Mengxiao Zhang, Yingfei Wang, Haipeng Luo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76246-76272
Function-to-Style Guidance of LLMs for Code Translation
Longhui Zhang, Bin Wang, Jiahao Wang, Xiaofeng Zhao, Min Zhang, Hao Yang, Meishan Zhang, Yu Li, Jing Li, Jun Yu, Min Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76273-76288
Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing
Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Nanqing Dong, Zhiqiang Gao, Siqi Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76289-76307
e-GAI: e-value-based Generalized $α$-Investing for Online False Discovery Rate Control
Yifan Zhang, Zijian Wei, Haojie Ren, Changliang Zou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76308-76331
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N
Tianyu Zhang, Andrew Robert Williams, Phillip Wozny, Kai-Hendrik Cohrs, Koen Ponse, Marco Jiralerspong, Soham Rajesh Phade, Sunil Srinivasa, Lu Li, Yang Zhang, Prateek Gupta, Erman Acar, Irina Rish, Yoshua Bengio, Stephan Zheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76332-76360
Gradient Descent Converges Arbitrarily Fast for Logistic Regression via Large and Adaptive Stepsizes
Ruiqi Zhang, Jingfeng Wu, Peter Bartlett; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76361-76384
MODA: MOdular Duplex Attention for Multimodal Perception, Cognition, and Emotion Understanding
Zhicheng Zhang, Wuyou Xia, Chenxi Zhao, Zhou Yan, Xiaoqiang Liu, Yongjie Zhu, Wenyu Qin, Pengfei Wan, Di Zhang, Jufeng Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76385-76396
SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference
Jintao Zhang, Chendong Xiang, Haofeng Huang, Jia Wei, Haocheng Xi, Jun Zhu, Jianfei Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76397-76413
Improving Reward Model Generalization from Adversarial Process Enhanced Preferences
Zhilong Zhang, Tian Xu, Xinghao Du, Xingchen Cao, Yihao Sun, Yang Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76414-76435
Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach
Xu Zhang, Kaidi Xu, Ziqing Hu, Ren Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76436-76450
Learning to Reuse Policies in State Evolvable Environments
Ziqian Zhang, Bohan Yang, Lihe Li, Yuqi Bian, Ruiqi Xue, Feng Chen, Yi-Chen Li, Lei Yuan, Yang Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76451-76476
UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning
Jiawei Zhang, Shuang Yang, Bo Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76477-76496
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
Jiawei Zhang, Xuan Yang, Taiqi Wang, Yu Yao, Aleksandr Petiushko, Bo Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76497-76517
Synthesizing Software Engineering Data in a Test-Driven Manner
Lei Zhang, Jiaxi Yang, Min Yang, Jian Yang, Mouxiang Chen, Jiajun Zhang, Zeyu Cui, Binyuan Hui, Junyang Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76518-76540
Efficient Network Automatic Relevance Determination
Hongwei Zhang, Ziqi Ye, Xinyuan Wang, Xin Guo, Zenglin Xu, Yuan Cheng, Zixin Hu, Yuan Qi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76541-76562
KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling
Shimin Zhang, Ziyuan Ye, Yinsong Yan, Zeyang Song, Yujie Wu, Jibin Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76563-76582
Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems
Shaokun Zhang, Ming Yin, Jieyu Zhang, Jiale Liu, Zhiguang Han, Jingyang Zhang, Beibin Li, Chi Wang, Huazheng Wang, Yiran Chen, Qingyun Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76583-76599
Curse of High Dimensionality Issue in Transformer for Long Context Modeling
Shuhai Zhang, Zeng You, Yaofo Chen, Zhiquan Wen, Qianyue Wang, Zhijie Qiu, Yuanqing Li, Mingkui Tan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76600-76624
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
Yifan Zhang, Tao Yu, Haochen Tian, Chaoyou Fu, Peiyan Li, Jianshu Zeng, Wulin Xie, Yang Shi, Huanyu Zhang, Junkang Wu, Xue Wang, Yibo Hu, Bin Wen, Tingting Gao, Zhang Zhang, Fan Yang, Di Zhang, Liang Wang, Rong Jin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76625-76654
InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective
Yuanhong Zhang, Muyao Yuan, Weizhan Zhang, Tieliang Gong, Wen Wen, Jiangyong Ying, Weijie Shi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76655-76677
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, Dawei Cheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76678-76692
Don’t Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters
Sijia Zhang, Shuli Zeng, Shaoang Li, Feng Wu, Shaojie Tang, Xiangyang Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76693-76715
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
Ruixiang Zhang, Shuangfei Zhai, Yizhe Zhang, James Thornton, Zijing Ou, Joshua M. Susskind, Navdeep Jaitly; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76716-76753
STAIR: Improving Safety Alignment with Introspective Reasoning
Yichi Zhang, Siyuan Zhang, Yao Huang, Zeyu Xia, Zhengwei Fang, Xiao Yang, Ranjie Duan, Dong Yan, Yinpeng Dong, Jun Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76754-76777
Gamma Distribution PCA-Enhanced Feature Learning for Angle-Robust SAR Target Recognition
Chong Zhang, Peng Zhang, Mengke Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76778-76794
Retrieval-Augmented Language Model for Knowledge-aware Protein Encoding
Jiasheng Zhang, Delvin Ce Zhang, Shuang Liang, Zhengpin Li, Zhitao Ying, Jie Shao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76795-76810
PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models
Chenyang Zhang, Xiaoyu Zhang, Jian Lou, Kai Wu, Zilong Wang, Xiaofeng Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76811-76830
Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes
Erica Zhang, Fangzhao Zhang, Mert Pilanci; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76831-76879
Improved Expressivity of Hypergraph Neural Networks through High-Dimensional Generalized Weisfeiler-Leman Algorithms
Detian Zhang, Chengqiang Zhang, Yanghui Rao, Li Qing, Chunjiang Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76880-76908
Tight and Fast Bounds for Multi-Label Learning
Yi-Fan Zhang, Min-Ling Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76909-76938
Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment
Yifan Zhang, Ge Zhang, Yue Wu, Kangping Xu, Quanquan Gu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76939-76965
End-to-End Learning Framework for Solving Non-Markovian Optimal Control
Xiaole Zhang, Peiyu Zhang, Xiongye Xiao, Shixuan Li, Vasileios Tzoumas, Vijay Gupta, Paul Bogdan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76966-76997
ConText: Driving In-context Learning for Text Removal and Segmentation
Fei Zhang, Pei Zhang, Baosong Yang, Fei Huang, Yanfeng Wang, Ya Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:76998-77016
Generalization Analysis for Controllable Learning
Yi-Fan Zhang, Xiao Zhang, Min-Ling Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77017-77043
Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability
Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77044-77068
Strategic A/B testing via Maximum Probability-driven Two-armed Bandit
Yu Zhang, Shanshan Zhao, Bokui Wan, Jinjuan Wang, Xiaodong Yan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77069-77089
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion
Binchi Zhang, Zaiyi Zheng, Zhengzhang Chen, Jundong Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77090-77106
Gap-Dependent Bounds for Federated $Q$-Learning
Haochen Zhang, Zhong Zheng, Lingzhou Xue; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77107-77151
Inverse Flow and Consistency Models
Yuchen Zhang, Jian Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77152-77176
Conformal Anomaly Detection in Event Sequences
Shuai Zhang, Chuan Zhou, Yang Liu, Peng Zhang, Xixun Lin, Shirui Pan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77177-77193
The Four Color Theorem for Cell Instance Segmentation
Ye Zhang, Yu Zhou, Yifeng Wang, Jun Xiao, Ziyue Wang, Yongbing Zhang, Jianxu Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77194-77215
Efficient Skill Discovery via Regret-Aware Optimization
He Zhang, Ming Zhou, Shaopeng Zhai, Ying Sun, Hui Xiong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77216-77232
Robust Multimodal Large Language Models Against Modality Conflict
Zongmeng Zhang, Wengang Zhou, Jie Zhao, Houqiang Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77233-77253
ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning
Hongyin Zhang, Zifeng Zhuang, Han Zhao, Pengxiang Ding, Hongchao Lu, Donglin Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77254-77271
Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification
Eric Zhao, Pranjal Awasthi, Sreenivas Gollapudi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77272-77309
ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks
Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Lixiang Xu, Yue Wang, Edwin Hancock; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77310-77320
Improving LLM Safety Alignment with Dual-Objective Optimization
Xuandong Zhao, Will Cai, Tianneng Shi, David Huang, Licong Lin, Song Mei, Dawn Song; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77321-77341
DeepLayout: Learning Neural Representations of Circuit Placement Layout
Yuxiang Zhao, Zhuomin Chai, Xun Jiang, Qiang Xu, Runsheng Wang, Yibo Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77342-77352
Efficient Motion Prompt Learning for Robust Visual Tracking
Jie Zhao, Xin Chen, Yongsheng Yuan, Michael Felsberg, Dong Wang, Huchuan Lu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77353-77370
Score as Action: Fine Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning
Hanyang Zhao, Haoxian Chen, Ji Zhang, David Yao, Wenpin Tang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77371-77389
DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers
Xuanlei Zhao, Shenggan Cheng, Chang Chen, Zangwei Zheng, Ziming Liu, Zheming Yang, Yang You; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77390-77404
Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback
Canzhe Zhao, Yutian Cheng, Jing Dong, Baoxiang Wang, Shuai Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77405-77440
Understanding Mode Connectivity via Parameter Space Symmetry
Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77441-77460
Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance
Linxi Zhao, Yihe Deng, Weitong Zhang, Quanquan Gu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77461-77486
Contextual Bandits for Unbounded Context Distributions
Puning Zhao, Rongfei Fan, Shaowei Wang, Li Shen, Qixin Zhang, Zong Ke, Tianhang Zheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77487-77520
Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning
Xue Zhao, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77521-77538
RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers
Min Zhao, Guande He, Yixiao Chen, Hongzhou Zhu, Chongxuan Li, Jun Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77539-77557
TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer
Lusen Zhao, Zihan Huang, Jianhao Ding, Zhaofei Yu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77558-77571
Learning Progress Driven Multi-Agent Curriculum
Wenshuai Zhao, Zhiyuan Li, Joni Pajarinen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77572-77588
SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics
Suyuan Zhao, Yizhen Luo, Ganbo Yang, Yan Zhong, Hao Zhou, Zaiqing Nie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77589-77607
Unlocking Post-hoc Dataset Inference with Synthetic Data
Bihe Zhao, Pratyush Maini, Franziska Boenisch, Adam Dziedzic; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77608-77629
GraphGPT: Generative Pre-trained Graph Eulerian Transformer
Qifang Zhao, Weidong Ren, Tianyu Li, Hong Liu, Xingsheng He, Xiaoxiao Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77630-77656
Improving Memory Efficiency for Training KANs via Meta Learning
Zhangchi Zhao, Jun Shu, Deyu Meng, Zongben Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77657-77676
Rejecting Hallucinated State Targets during Planning
Harry Zhao, Tristan Sylvain, Romain Laroche, Doina Precup, Yoshua Bengio; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77677-77702
Hierarchical Equivariant Policy via Frame Transfer
Haibo Zhao, Dian Wang, Yizhe Zhu, Xupeng Zhu, Owen Lewis Howell, Linfeng Zhao, Yaoyao Qian, Robin Walters, Robert Platt; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77703-77722
Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data
Zhe Zhao, Haibin Wen, Pengkun Wang, Shuang Wang, Zhenkun Wang, Qingfu Zhang, Yang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77723-77739
Epsilon-VAE: Denoising as Visual Decoding
Long Zhao, Sanghyun Woo, Ziyu Wan, Yandong Li, Han Zhang, Boqing Gong, Hartwig Adam, Xuhui Jia, Ting Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77740-77759
Taming Diffusion for Dataset Distillation with High Representativeness
Lin Zhao, Yushu Wu, Xinru Jiang, Jianyang Gu, Yanzhi Wang, Xiaolin Xu, Pu Zhao, Xue Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77760-77780
Can We Predict Performance of Large Models across Vision-Language Tasks?
Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77781-77806
Unveiling Markov heads in Pretrained Language Models for Offline Reinforcement Learning
Wenhao Zhao, Qiushui Xu, Linjie Xu, Lei Song, Jinyu Wang, Chunlai Zhou, Jiang Bian; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77807-77821
Weak-to-Strong Jailbreaking on Large Language Models
Xuandong Zhao, Xianjun Yang, Tianyu Pang, Chao Du, Lei Li, Yu-Xiang Wang, William Yang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77822-77843
SkipGPT: Each Token is One of a Kind
Anhao Zhao, Fanghua Ye, Yingqi Fan, Junlong Tong, Jing Xiong, Zhiwei Fei, Hui Su, Xiaoyu Shen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77844-77863
Logarithmic Regret for Online KL-Regularized Reinforcement Learning
Heyang Zhao, Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77864-77884
Understanding Synthetic Context Extension via Retrieval Heads
Xinyu Zhao, Fangcong Yin, Greg Durrett; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77885-77910
GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models
Pengxiang Zhao, Xiaoming Yuan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77911-77925
Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models
Jialin Zhao, Yingtao Zhang, Carlo Vittorio Cannistraci; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77926-77947
Rethink the Role of Deep Learning towards Large-scale Quantum Systems
Yusheng Zhao, Chi Zhang, Yuxuan Du; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77948-77975
Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks
Jialin Zhao, Yingtao Zhang, Xinghang Li, Huaping Liu, Carlo Vittorio Cannistraci; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:77976-78002
Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes
Yusheng Zhao, Qixin Zhang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78003-78022
Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems
Maksim Zhdanov, Max Welling, Jan-Willem Van De Meent; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78023-78040
Model Immunization from a Condition Number Perspective
Amber Yijia Zheng, Site Bai, Brian Bullins, Raymond A. Yeh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78041-78066
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78067-78094
Can DBNNs Robust to Environmental Noise for Resource-constrained Scenarios?
Wendong Zheng, Junyang Chen, Husheng Guo, Wenjian Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78095-78114
Towards Attributions of Input Variables in a Coalition
Xinhao Zheng, Huiqi Deng, Quanshi Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78115-78138
Bridging Protein Sequences and Microscopy Images with Unified Diffusion Models
Dihan Zheng, Bo Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78139-78155
Test-Time Graph Neural Dataset Search With Generative Projection
Xin Zheng, Wei Huang, Chuan Zhou, Ming Li, Shirui Pan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78156-78169
Deep Electromagnetic Structure Design Under Limited Evaluation Budgets
Shijian Zheng, Fangxiao Jin, Shuhai Zhang, Quan Xue, Mingkui Tan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78170-78189
Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models
Yang Zheng, Wen Li, Zhaoqiang Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78190-78207
Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots
Guangting Zheng, Yehao Li, Yingwei Pan, Jiajun Deng, Ting Yao, Yanyong Zhang, Tao Mei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78208-78220
MCU: An Evaluation Framework for Open-Ended Game Agents
Xinyue Zheng, Haowei Lin, Kaichen He, Zihao Wang, Qiang Fu, Haobo Fu, Zilong Zheng, Yitao Liang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78221-78259
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph
Weihuang Zheng, Jiashuo Liu, Jiaxing Li, Jiayun Wu, Peng Cui, Youyong Kong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78260-78275
Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures
Dongzhe Zheng, Wenjie Mei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78276-78296
Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making
Hongling Zheng, Li Shen, Yong Luo, Deheng Ye, Bo Du, Jialie Shen, Dacheng Tao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78297-78314
Adaptive Sensitivity Analysis for Robust Augmentation against Natural Corruptions in Image Segmentation
Laura Yu Zheng, Wenjie Wei, Tony Wu, Jacob Clements, Shreelekha Revankar, Andre Harrison, Yu Shen, Ming Lin; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78315-78337
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design
Zhi Zheng, Zhuoliang Xie, Zhenkun Wang, Bryan Hooi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78338-78373
Nonparametric Identification of Latent Concepts
Yujia Zheng, Shaoan Xie, Kun Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78374-78404
ExLM: Rethinking the Impact of $\texttt[MASK]$ Tokens in Masked Language Models
Kangjie Zheng, Junwei Yang, Siyue Liang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78405-78433
Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation
Bowen Zheng, Tianming Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78434-78453
NeuronTune: Towards Self-Guided Spurious Bias Mitigation
Guangtao Zheng, Wenqian Ye, Aidong Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78454-78477
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting
Siru Zhong, Weilin Ruan, Ming Jin, Huan Li, Qingsong Wen, Yuxuan Liang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78478-78497
DPO Meets PPO: Reinforced Token Optimization for RLHF
Han Zhong, Zikang Shan, Guhao Feng, Wei Xiong, Xinle Cheng, Li Zhao, Di He, Jiang Bian, Liwei Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78498-78521
Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank
Qiyu Zhong, Yi Shan, Haobo Wang, Zhen Yang, Gengyu Lyu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78522-78536
Semi-Supervised Blind Quality Assessment with Confidence-quantifiable Pseudo-label Learning for Authentic Images
Yan Zhong, Chenxi Yang, Suyuan Zhao, Tingting Jiang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78537-78554
BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning
Han Zhong, Yutong Yin, Shenao Zhang, Xiaojun Xu, Yuanxin Liu, Yifei Zuo, Zhihan Liu, Boyi Liu, Sirui Zheng, Hongyi Guo, Liwei Wang, Mingyi Hong, Zhaoran Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78555-78574
Reinforcement Learning Control of a Physical Robot Device for Assisted Human Walking without a Simulator
Junmin Zhong, Emiliano Quinones Yumbla, Seyed Yousef Soltanian, Ruofan Wu, Wenlong Zhang, Jennie Si; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78575-78601
Implicit Subgraph Neural Network
Yongjian Zhong, Liao Zhu, Hieu Vu, Bijaya Adhikari; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78602-78615
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation
Ziang Zhou, Zhihao Ding, Jieming Shi, Li Qing, Shiqi Shen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78616-78632
Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference
Jixian Zhou, Fang Dong, Ruijun Huang, Hengjie Cao, Mengyi Chen, Yifeng Yang, Anrui Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, David A. Clifton, Qin Lv, Rui Zhu, Chun Zhang, Fan Yang, Tun Lu, Ning Gu, Li Shang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78633-78650
Inductive Moment Matching
Linqi Zhou, Stefano Ermon, Jiaming Song; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78651-78686
ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck
Zheng Zhou, Wenquan Feng, Qiaosheng Zhang, Shuchang Lyu, Qi Zhao, Guangliang Cheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78687-78713
From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?
Zhanke Zhou, Xiao Feng, Zhaocheng Zhu, Jiangchao Yao, Sanmi Koyejo, Bo Han; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78714-78758
Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation
Hongyi Zhou, Josiah P. Hanna, Jin Zhu, Ying Yang, Chengchun Shi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78759-78785
TUMTraf VideoQA: Dataset and Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes
Xingcheng Zhou, Konstantinos Larintzakis, Hao Guo, Walter Zimmer, Mingyu Liu, Hu Cao, Jiajie Zhang, Venkatnarayanan Lakshminarasimhan, Leah Strand, Alois Knoll; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78786-78811
Contrastive Visual Data Augmentation
Yu Zhou, Bingxuan Li, Tang Mohan, Xiaomeng Jin, Te-Lin Wu, Kuan-Hao Huang, Heng Ji, Kai-Wei Chang, Nanyun Peng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78812-78826
Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling
Xiangxin Zhou, Mingyu Li, Yi Xiao, Jiahan Li, Dongyu Xue, Zaixiang Zheng, Jianzhu Ma, Quanquan Gu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78827-78858
FloE: On-the-Fly MoE Inference on Memory-constrained GPU
Yuxin Zhou, Zheng Li, Jun Zhang, Jue Wang, Yiping Wang, Zhongle Xie, Ke Chen, Lidan Shou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78859-78882
BSLoRA: Enhancing the Parameter Efficiency of LoRA with Intra-Layer and Inter-Layer Sharing
Yuhua Zhou, Ruifeng Li, Changhai Zhou, Fei Yang, Aimin Pan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78883-78902
An Error Analysis of Flow Matching for Deep Generative Modeling
Zhengyu Zhou, Weiwei Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78903-78932
GSM-$∞$: How Do your LLMs Behave over Infinitely Increasing Reasoning Complexity and Context Length?
Yang Zhou, Hongyi Liu, Zhuoming Chen, Yuandong Tian, Beidi Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78933-78983
Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving
Yuxuan Zhou, Xien Liu, Chenwei Yan, Chen Ning, Xiao Zhang, Boxun Li, Xiangling Fu, Shijin Wang, Guoping Hu, Yu Wang, Ji Wu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:78984-79003
Robust Multi-Agent Reinforcement Learning with Stochastic Adversary
Ziyuan Zhou, Guanjun Liu, Mengchu Zhou, Weiran Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79004-79027
Efficient and Separate Authentication Image Steganography Network
Junchao Zhou, Yao Lu, Jie Wen, Guangming Lu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79028-79044
Learning Efficient Robotic Garment Manipulation with Standardization
Changshi Zhou, Feng Luan, Jiarui Hu, Shaoqiang Meng, Zhipeng Wang, Yanchao Dong, Yanmin Zhou, Bin He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79045-79060
Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers
Hang Zhou, Yuezhou Ma, Haixu Wu, Haowen Wang, Mingsheng Long; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79061-79088
Perceptual-GS: Scene-adaptive Perceptual Densification for Gaussian Splatting
Hongbi Zhou, Zhangkai Ni; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79089-79114
DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
Gaoyue Zhou, Hengkai Pan, Yann Lecun, Lerrel Pinto; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79115-79135
KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks
Quan Zhou, Changhua Pei, Fei Sun, Han Jing, Zhengwei Gao, Haiming Zhang, Gaogang Xie, Dan Pei, Jianhui Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79136-79149
Accelerating Unbiased LLM Evaluation via Synthetic Feedback
Zhaoyi Zhou, Yuda Song, Andrea Zanette; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79150-79167
Energy-Based Flow Matching for Generating 3D Molecular Structure
Wenyin Zhou, Christopher Iliffe Sprague, Vsevolod Viliuga, Matteo Tadiello, Arne Elofsson, Hossein Azizpour; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79168-79191
Parallel Simulation for Log-concave Sampling and Score-based Diffusion Models
Huanjian Zhou, Masashi Sugiyama; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79192-79225
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators
Han Zhou, Jordy Van Landeghem, Teodora Popordanoska, Matthew B. Blaschko; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79226-79253
Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision
Qi Zhou, Dongxia Wang, Tianlin Li, Yun Lin, Yang Liu, Jin Song Dong, Qing Guo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79254-79280
Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale
Fan Zhou, Zengzhi Wang, Qian Liu, Junlong Li, Pengfei Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79281-79327
Weakly-Supervised Contrastive Learning for Imprecise Class Labels
Zi-Hao Zhou, Jun-Jie Wang, Tong Wei, Min-Ling Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79328-79365
A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO
Xingyu Zhou, Yulian Wu, Francesco Orabona; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79366-79388
Square$χ$PO: Differentially Private and Robust $χ^2$-Preference Optimization in Offline Direct Alignment
Xingyu Zhou, Yulian Wu, Wenqian Weng, Francesco Orabona; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79389-79413
DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization
Zhenglin Zhou, Xiaobo Xia, Fan Ma, Hehe Fan, Yi Yang, Tat-Seng Chua; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79414-79435
Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators
Yilun Zhou, Austin Xu, Peifeng Wang, Caiming Xiong, Shafiq Joty; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79436-79471
Three-Dimensional Trajectory Prediction with 3DMoTraj Dataset
Hao Zhou, Xu Yang, Mingyu Fan, Lu Qi, Xiangtai Li, Ming-Hsuan Yang, Fei Luo; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79472-79489
Proposer-Agent-Evaluator (PAE): Autonomous Skill Discovery For Foundation Model Internet Agents
Yifei Zhou, Qianlan Yang, Kaixiang Lin, Min Bai, Xiong Zhou, Yu-Xiong Wang, Sergey Levine, Li Erran Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79490-79528
CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning
Hongtu Zhou, Ruiling Yang, Yakun Zhu, Haoqi Zhao, Hai Zhang, Di Zhang, Junqiao Zhao, Chen Ye, Changjun Jiang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79529-79547
H-Tuning: Toward Low-Cost and Efficient ECG-based Cardiovascular Disease Detection with Pre-Trained Models
Rushuang Zhou, Yuanting Zhang, Yining Dong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79548-79569
LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
Zikai Zhou, Qizheng Zhang, Hermann Kumbong, Kunle Olukotun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79570-79594
Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning
Zihan Zhou, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Da Yan, Ruoming Jin, Dejing Dou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79595-79643
Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning
Huaicheng Zhou, Zifeng Zhuang, Donglin Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79644-79672
Independence Tests for Language Models
Sally Zhu, Ahmed M Ahmed, Rohith Kuditipudi, Percy Liang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79673-79698
In-Context Adaptation to Concept Drift for Learned Database Operations
Jiaqi Zhu, Shaofeng Cai, Yanyan Shen, Gang Chen, Fang Deng, Beng Chin Ooi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79699-79726
TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization
Mingkang Zhu, Xi Chen, Zhongdao Wang, Bei Yu, Hengshuang Zhao, Jiaya Jia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79727-79745
How to Synthesize Text Data without Model Collapse?
Xuekai Zhu, Daixuan Cheng, Hengli Li, Kaiyan Zhang, Ermo Hua, Xingtai Lv, Ning Ding, Zhouhan Lin, Zilong Zheng, Bowen Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79746-79771
Doubly Robust Fusion of Many Treatments for Policy Learning
Ke Zhu, Jianing Chu, Ilya Lipkovich, Wenyu Ye, Shu Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79772-79789
When Can Proxies Improve the Sample Complexity of Preference Learning?
Yuchen Zhu, Daniel Augusto De Souza, Zhengyan Shi, Mengyue Yang, Pasquale Minervini, Matt Kusner, Alexander D’Amour; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79790-79814
SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning
Junyou Zhu, Langzhou He, Chao Gao, Dongpeng Hou, Zhen Su, Philip S. Yu, Juergen Kurths, Frank Hellmann; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79815-79835
CPCF: A Cross-Prompt Contrastive Framework for Referring Multimodal Large Language Models
Lanyun Zhu, Deyi Ji, Tianrun Chen, Haiyang Wu, De Wen Soh, Jun Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79836-79849
CVE-Bench: A Benchmark for AI Agents’ Ability to Exploit Real-World Web Application Vulnerabilities
Yuxuan Zhu, Antony Kellermann, Dylan Bowman, Philip Li, Akul Gupta, Adarsh Danda, Richard Fang, Conner Jensen, Eric Ihli, Jason Benn, Jet Geronimo, Avi Dhir, Sudhit Rao, Kaicheng Yu, Twm Stone, Daniel Kang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79850-79867
Introducing 3D Representation for Dense Volume-to-Volume Translation via Score Fusion
Xiyue Zhu, Dou Hoon Kwark, Ruike Zhu, Kaiwen Hong, Yiqi Tao, Shirui Luo, Yudu Li, Zhi-Pei Liang, Volodymyr Kindratenko; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79868-79902
The Case for Learned Provenance-based System Behavior Baseline
Yao Zhu, Zhenyuan Li, Yangyang Wei, Shouling Ji; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79903-79917
Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach
Jin Zhu, Jingyi Li, Hongyi Zhou, Yinan Lin, Zhenhua Lin, Chengchun Shi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79918-79937
Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation
Tingyu Zhu, Haoyu Liu, Ziyu Wang, Zhimin Jiang, Zeyu Zheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79938-79962
EvFocus: Learning to Reconstruct Sharp Images from Out-of-Focus Event Streams
Lin Zhu, Xiantao Ma, Xiao Wang, Lizhi Wang, Hua Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79963-79984
UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control
Kaizhen Zhu, Mokai Pan, Yuexin Ma, Yanwei Fu, Jingyi Yu, Jingya Wang, Ye Shi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:79985-80012
On the Power of Context-Enhanced Learning in LLMs
Xingyu Zhu, Abhishek Panigrahi, Sanjeev Arora; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80013-80089
How Effective Can Dropout Be in Multiple Instance Learning ?
Wenhui Zhu, Peijie Qiu, Xiwen Chen, Zhangsihao Yang, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80090-80106
Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment
Yu Zhu, Chunfeng Song, Wanli Ouyang, Shan Yu, Tiejun Huang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80107-80133
Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation
Minqin Zhu, Zexu Sun, Ruoxuan Xiong, Anpeng Wu, Baohong Li, Caizhi Tang, Jun Zhou, Fei Wu, Kun Kuang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80134-80154
Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding
Jiajun Zhu, Peihao Wang, Ruisi Cai, Jason D. Lee, Pan Li, Zhangyang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80155-80186
SE(3)-Equivariant Diffusion Policy in Spherical Fourier Space
Xupeng Zhu, Fan Wang, Robin Walters, Jane Shi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80187-80206
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization
Kangyu Zhu, Peng Xia, Yun Li, Hongtu Zhu, Sheng Wang, Huaxiu Yao; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80207-80222
Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models
Congcong Zhu, Xiaoyan Xu, Jiayue Han, Jingrun Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80223-80258
Gradient Aligned Regression via Pairwise Losses
Dixian Zhu, Tianbao Yang, Livnat Jerby; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80259-80281
Enhancing Statistical Validity and Power in Hybrid Controlled Trials: A Randomization Inference Approach with Conformal Selective Borrowing
Ke Zhu, Shu Yang, Xiaofei Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80282-80309
MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
Kaijie Zhu, Xianjun Yang, Jindong Wang, Wenbo Guo, William Yang Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80310-80329
Efficient LiDAR Reflectance Compression via Scanning Serialization
Jiahao Zhu, Kang You, Dandan Ding, Zhan Ma; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80330-80346
An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints
Jiahui Zhu, Kihyun Yu, Dabeen Lee, Xin Liu, Honghao Wei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80347-80372
Measuring Diversity in Synthetic Datasets
Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80373-80397
Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination
Zhihan Zhu, Yanhao Zhang, Yong Xia; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80398-80426
Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration
Qinglin Zhu, Runcong Zhao, Hanqi Yan, Yulan He, Yudong Chen, Lin Gui; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80427-80447
SUICA: Learning Super-high Dimensional Sparse Implicit Neural Representations for Spatial Transcriptomics
Qingtian Zhu, Yumin Zheng, Yuling Sang, Yifan Zhan, Ziyan Zhu, Jun Ding, Yinqiang Zheng; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80448-80462
AlphaQCM: Alpha Discovery in Finance with Distributional Reinforcement Learning
Zhoufan Zhu, Ke Zhu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80463-80479
CSV-Occ: Fusing Multi-frame Alignment for Occupancy Prediction with Temporal Cross State Space Model and Central Voting Mechanism
Ziming Zhu, Yu Zhu, Jiahao Chen, Xiaofeng Ling, Huanlei Chen, Lihua Sun; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80480-80498
TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision
Shaobin Zhuang, Yiwei Guo, Yanbo Ding, Kunchang Li, Xinyuan Chen, Yaohui Wang, Fangyikang Wang, Ying Zhang, Chen Li, Yali Wang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80499-80515
Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More
Xialie Zhuang, Zhikai Jia, Jianjin Li, Zhenyu Zhang, Li Shen, Zheng Cao, Shiwei Liu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80516-80532
Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation
Zhan Zhuang, Xiequn Wang, Wei Li, Yulong Zhang, Qiushi Huang, Shuhao Chen, Xuehao Wang, Yanbin Wei, Yuhe Nie, Kede Ma, Yu Zhang, Ying Wei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80533-80550
Stealix: Model Stealing via Prompt Evolution
Zhixiong Zhuang, Hui-Po Wang, Maria-Irina Nicolae, Mario Fritz; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80551-80568
Agent-as-a-Judge: Evaluate Agents with Agents
Mingchen Zhuge, Changsheng Zhao, Dylan R. Ashley, Wenyi Wang, Dmitrii Khizbullin, Yunyang Xiong, Zechun Liu, Ernie Chang, Raghuraman Krishnamoorthi, Yuandong Tian, Yangyang Shi, Vikas Chandra, Jürgen Schmidhuber; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80569-80611
Commute Graph Neural Networks
Wei Zhuo, Han Yu, Guang Tan, Xiaoxiao Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80612-80628
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities
Daniel Zilberg, Ron Levie; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80629-80661
Decoupled SGDA for Games with Intermittent Strategy Communication
Ali Zindari, Parham Yazdkhasti, Anton Rodomanov, Tatjana Chavdarova, Sebastian U Stich; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80662-80707
FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training
Philip Zmushko, Aleksandr Beznosikov, Martin Takáč, Samuel Horváth; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80708-80739
Novelty Detection in Reinforcement Learning with World Models
Geigh Zollicoffer, Kenneth Eaton, Jonathan C Balloch, Julia Kim, Wei Zhou, Robert Wright, Mark Riedl; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80740-80758
EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM
Zhuofan Zong, Dongzhi Jiang, Bingqi Ma, Guanglu Song, Hao Shao, Dazhong Shen, Yu Liu, Hongsheng Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80759-80775
Analytical Lyapunov Function Discovery: An RL-based Generative Approach
Haohan Zou, Jie Feng, Hao Zhao, Yuanyuan Shi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80776-80804
SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and $\mathcalO(T)$ Complexity
Shihao Zou, Qingfeng Li, Wei Ji, Jingjing Li, Yongkui Yang, Guoqi Li, Chao Dong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80805-80821
HPS: Hard Preference Sampling for Human Preference Alignment
Xiandong Zou, Wanyu Lin, Yuchen Li, Pan Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80822-80845
Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion
Tianyuan Zou, Yang Liu, Peng Li, Yufei Xiong, Jianqing Zhang, Jingjing Liu, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80846-80872
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models
Xin Zou, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Kening Zheng, Sirui Huang, Junkai Chen, Peijie Jiang, Jia Liu, Chang Tang, Xuming Hu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80873-80899
Random Feature Representation Boosting
Nikita Zozoulenko, Thomas Cass, Lukas Gonon; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80900-80932
Beyond Communication Overhead: A Multilevel Monte Carlo Approach for Mitigating Compression Bias in Distributed Learning
Ze’Ev Zukerman, Bassel Hamoud, Kfir Yehuda Levy; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80933-80960
MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding
Yuxin Zuo, Shang Qu, Yifei Li, Zhang-Ren Chen, Xuekai Zhu, Ermo Hua, Kaiyan Zhang, Ning Ding, Bowen Zhou; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80961-80990
Position: Medical Large Language Model Benchmarks Should Prioritize Construct Validity
Ahmed Alaa, Thomas Hartvigsen, Niloufar Golchini, Shiladitya Dutta, Frances Dean, Inioluwa Deborah Raji, Travis Zack; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:80991-81004
Position: LLM Social Simulations Are a Promising Research Method
Jacy Reese Anthis, Ryan Liu, Sean M Richardson, Austin C. Kozlowski, Bernard Koch, Erik Brynjolfsson, James Evans, Michael S. Bernstein; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81005-81034
Position: Generative AI Regulation Can Learn from Social Media Regulation
Ruth Elisabeth Appel; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81035-81049
Position: Beyond Assistance – Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care
Abeer Badawi, Md Tahmid Rahman Laskar, Jimmy Huang, Shaina Raza, Elham Dolatabadi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81050-81066
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca, Luis Müller, Jan Tönshoff, Antoine Siraudin, Viktor Zaverkin, Michael M. Bronstein, Mathias Niepert, Bryan Perozzi, Mikhail Galkin, Christopher Morris; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81067-81089
Position: Stop treating ‘AGI’ as the north-star goal of AI research
Borhane Blili-Hamelin, Christopher Graziul, Leif Hancox-Li, Hananel Hazan, El-Mahdi El-Mhamdi, Avijit Ghosh, Katherine A Heller, Jacob Metcalf, Fabricio Murai, Eryk Salvaggio, Andrew J Smart, Todd Snider, Mariame Tighanimine, Talia Ringer, Margaret Mitchell, Shiri Dori-Hacohen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81090-81117
Position: Strong Consumer Protection is an Inalienable Defense for AI Safety in the United States
Serena Booth; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81118-81129
Position: Rethinking Explainable Machine Learning as Applied Statistics
Sebastian Bordt, Eric Raidl, Ulrike Von Luxburg; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81130-81142
Position: Don’t Use the CLT in LLM Evals With Fewer Than a Few Hundred Datapoints
Sam Bowyer, Laurence Aitchison, Desi R. Ivanova; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81143-81184
Position: Certified Robustness Does Not (Yet) Imply Model Security
Andrew Craig Cullen, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81185-81198
Position: A Theory of Deep Learning Must Include Compositional Sparsity
David A. Danhofer, Davide D’Ascenzo, Rafael Dubach, Tomaso A Poggio; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81199-81210
Position: The Categorization of Race in ML is a Flawed Premise
Miriam Doh, Benedikt Höltgen, Piera Riccio, Nuria M Oliver; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81211-81232
Position: Constants are Critical in Regret Bounds for Reinforcement Learning
Simone Drago, Marco Mussi, Alberto Maria Metelli; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81233-81275
Position: Current Model Licensing Practices are Dragging Us into a Quagmire of Legal Noncompliance
Moming Duan, Mingzhe Du, Rui Zhao, Mengying Wang, Yinghui Wu, Nigel Shadbolt, Bingsheng He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81276-81291
Position: We Need An Algorithmic Understanding of Generative AI
Oliver Eberle, Thomas Austin Mcgee, Hamza Giaffar, Taylor Whittington Webb, Ida Momennejad; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81292-81314
Position: Political Neutrality in AI Is Impossible — But Here Is How to Approximate It
Jillian Fisher, Ruth Elisabeth Appel, Chan Young Park, Yujin Potter, Liwei Jiang, Taylor Sorensen, Shangbin Feng, Yulia Tsvetkov, Margaret Roberts, Jennifer Pan, Dawn Song, Yejin Choi; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81315-81374
Position: Enough of Scaling LLMs! Lets Focus on Downscaling
Yash Goel, Ayan Sengupta, Tanmoy Chakraborty; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81375-81392
Position: It Is Time We Test Neural Computation In Vitro
Frithjof Gressmann, Ashley Chen, Lily Hexuan Xie, Nancy Amato, Lawrence Rauchwerger; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81393-81409
Position: Future Research and Challenges Remain Towards AI for Software Engineering
Alex Gu, Naman Jain, Wen-Ding Li, Manish Shetty, Kevin Ellis, Koushik Sen, Armando Solar-Lezama; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81410-81470
Position: Spectral GNNs Rely Less on Graph Fourier Basis than Conceived
Yuhe Guo, Huayi Tang, Jiahong Ma, Hongteng Xu, Zhewei Wei; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81471-81493
Position: General Intelligence Requires Reward-based Pretraining
Seungwook Han, Jyothish Pari, Samuel J. Gershman, Pulkit Agrawal; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81494-81513
Position: We Need Responsible, Application-Driven (RAD) AI Research
Sarah Hartman, Cheng Soon Ong, Julia Powles, Petra Kuhnert; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81514-81525
Position: AI Should Not Be An Imitation Game: Centaur Evaluations
Andreas Haupt, Erik Brynjolfsson; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81526-81541
Position: AI Safety should prioritize the Future of Work
Sanchaita Hazra, Bodhisattwa Prasad Majumder, Tuhin Chakrabarty; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81542-81555
Position: We Can’t Understand AI Using our Existing Vocabulary
John Hewitt, Robert Geirhos, Been Kim; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81556-81572
Position: Not All Explanations for Deep Learning Phenomena Are Equally Valuable
Alan Jeffares, Mihaela Van Der Schaar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81573-81587
Position: AI Safety Must Embrace an Antifragile Perspective
Ming Jin, Hyunin Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81588-81605
Position: The Most Expensive Part of an LLM *should* be its Training Data
Nikhil Kandpal, Colin Raffel; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81606-81616
Position: Build Agent Advocates, Not Platform Agents
Sayash Kapoor, Noam Kolt, Seth Lazar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81617-81633
Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards
Jaeho Kim, Yunseok Lee, Seulki Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81634-81651
Position: You Can’t Manufacture a NeRF
Ma Kimmel, Mueed Ur Rehman, Yonatan Bisk, Gary K. Fedder; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81652-81664
Position: Uncertainty Quantification Needs Reassessment for Large Language Model Agents
Michael Kirchhof, Gjergji Kasneci, Enkelejda Kasneci; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81665-81677
Position: Humanity Faces Existential Risk from Gradual Disempowerment
Jan Kulveit, Raymond Douglas, Nora Ammann, Deger Turan, David Krueger, David Duvenaud; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81678-81688
Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection
Yucen Lily Li, Daohan Lu, Polina Kirichenko, Shikai Qiu, Tim G. J. Rudner, C. Bayan Bruss, Andrew Gordon Wilson; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81689-81713
Position: Truly Self-Improving Agents Require Intrinsic Metacognitive Learning
Tennison Liu, Mihaela Van Der Schaar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81714-81727
Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI
Shayne Longpre, Kevin Klyman, Ruth Elisabeth Appel, Sayash Kapoor, Rishi Bommasani, Michelle Sahar, Sean Mcgregor, Avijit Ghosh, Borhane Blili-Hamelin, Nathan Butters, Alondra Nelson, Dr. Amit Elazari, Andrew Sellars, Casey John Ellis, Dane Sherrets, Dawn Song, Harley Geiger, Ilona Cohen, Lauren Mcilvenny, Madhulika Srikumar, Mark M. Jaycox, Markus Anderljung, Nadine Farid Johnson, Nicholas Carlini, Nicolas Miailhe, Nik Marda, Peter Henderson, Rebecca S. Portnoff, Rebecca Weiss, Victoria Westerhoff, Yacine Jernite, Rumman Chowdhury, Percy Liang, Arvind Narayanan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81728-81758
Position: Algebra Unveils Deep Learning - An Invitation to Neuroalgebraic Geometry
Giovanni Luca Marchetti, Vahid Shahverdi, Stefano Mereta, Matthew Trager, Kathlén Kohn; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81759-81773
Position: Machine Learning Models Have a Supply Chain Problem
Sarah Meiklejohn, Hayden Blauzvern, Mihai Maruseac, Spencer Schrock, Laurent Simon, Ilia Shumailov; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81774-81785
Position: Lifetime tuning is incompatible with continual reinforcement learning
Golnaz Mesbahi, Parham Mohammad Panahi, Olya Mastikhina, Steven Tang, Martha White, Adam White; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81786-81796
Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives
Elliot Meyerson, Xin Qiu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81797-81809
Position: Probabilistic Modelling is Sufficient for Causal Inference
Bruno Kacper Mlodozeniec, David Krueger, Richard E Turner; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81810-81840
Position: Rethinking LLM Bias Probing Using Lessons from the Social Sciences
Kirsten Morehouse, Siddharth Swaroop, Weiwei Pan; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81841-81860
Position: The Future of Bayesian Prediction Is Prior-Fitted
Samuel Müller, Arik Reuter, Noah Hollmann, David Rügamer, Frank Hutter; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81861-81875
Position: The Right to AI
Rashid Mushkani, Hugo Berard, Allison Cohen, Shin Koseki; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81876-81896
Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking)
Yoonsoo Nam, Seok Hyeong Lee, Clémentine Carla Juliette Dominé, Yeachan Park, Charles London, Wonyl Choi, Niclas Alexander Göring, Seungjai Lee; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81897-81929
Position: Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work.
Aviv Ovadya, Kyle Redman, Luke Thorburn, Quan Ze Chen, Oliver Smith, Flynn Devine, Andrew Konya, Smitha Milli, Manon Revel, Kevin Feng, Amy X Zhang, Bilva Chandra, Michiel A. Bakker, Atoosa Kasirzadeh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81930-81961
Position: Iterative Online-Offline Joint Optimization is Needed to Manage Complex LLM Copyright Risks
Yanzhou Pan, Jiayi Chen, Jiamin Chen, Zhaozhuo Xu, Denghui Zhang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81962-81976
Position: Explainable AI Cannot Advance Without Better User Studies
Matej Pičulin, Bernarda Petek, Irena Ograjenšek, Erik Strumbelj; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81977-81994
Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption
Audrey Poinsot, Panayiotis Panayiotou, Alessandro Leite, Nicolas Chesneau, Özgür Şimşek, Marc Schoenauer; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:81995-82015
Position: All Current Generative Fidelity and Diversity Metrics are Flawed
Ossi Räisä, Boris Van Breugel, Mihaela Van Der Schaar; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82016-82050
Position: Principles of Animal Cognition to Improve LLM Evaluations
Sunayana Rane, Cyrus F. Kirkman, Graham Todd, Amanda Royka, Ryan M.C. Law, Erica Cartmill, Jacob Gates Foster; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82051-82061
Position: AI’s growing due process problem
Sunayana Rane; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82062-82071
Position: An Empirically Grounded Identifiability Theory Will Accelerate Self Supervised Learning Research
Patrik Reizinger, Randall Balestriero, David Klindt, Wieland Brendel; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82072-82090
Position: Theory of Mind Benchmarks are Broken for Large Language Models
Matthew Riemer, Zahra Ashktorab, Djallel Bouneffouf, Payel Das, Miao Liu, Justin D. Weisz, Murray Campbell; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82091-82130
Position: Graph Matching Systems Deserve Better Benchmarks
Indradyumna Roy, Saswat Meher, Eeshaan Jain, Soumen Chakrabarti, Abir De; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82131-82150
Position: When Incentives Backfire, Data Stops Being Human
Sebastin Santy, Prasanta Bhattacharya, Manoel Horta Ribeiro, Kelsey R Allen, Sewoong Oh; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82151-82165
Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation
D. Sculley, William Cukierski, Phil Culliton, Sohier Dane, Maggie M Demkin, Ryan Holbrook, Addison Howard, Paul T Mooney, Walter Reade, Meg Risdal, Nate Keating; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82166-82178
Position: Societal Impacts Research Requires Benchmarks for Creative Composition Tasks
Judy Hanwen Shen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82179-82199
Position: Contextual Integrity is Inadequately Applied to Language Models
Yan Shvartzshnaider, Vasisht Duddu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82200-82210
Position: AI Agents Need Authenticated Delegation
Tobin South, Samuele Marro, Thomas Hardjono, Robert Mahari, Cedric Deslandes Whitney, Alan Chan, Alex Pentland; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82211-82231
Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge
Hanna Wallach, Meera Desai, A. Feder Cooper, Angelina Wang, Chad Atalla, Solon Barocas, Su Lin Blodgett, Alexandra Chouldechova, Emily Corvi, P. Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nicholas J Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82232-82251
Position: AI Scaling: From Up to Down and Out
Yunke Wang, Yanxi Li, Chang Xu; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82252-82264
Position: Human Baselines in Model Evaluations Need Rigor and Transparency (With Recommendations & Reporting Checklist)
Kevin Wei, Patricia Paskov, Sunishchal Dev, Michael J Byun, Anka Reuel, Xavier Roberts-Gaal, Rachel Calcott, Evie Coxon, Chinmay Deshpande; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82265-82325
Position: Deep Learning is Not So Mysterious or Different
Andrew Gordon Wilson; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82326-82346
Position: Retrieval-augmented systems can be dangerous medical communicators
Lionel Wong, Ayman Ali, Raymond M Xiong, Zejiang Shen, Yoon Kim, Monica Agrawal; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82347-82359
Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning
Hanqi Yan, Linhai Zhang, Jiazheng Li, Zhenyi Shen, Yulan He; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82360-82383
Position: Formal Mathematical Reasoning—A New Frontier in AI
Kaiyu Yang, Gabriel Poesia, Jingxuan He, Wenda Li, Kristin E. Lauter, Swarat Chaudhuri, Dawn Song; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82384-82398
Position: The Artificial Intelligence and Machine Learning Community Should Adopt a More Transparent and Regulated Peer Review Process
Jing Yang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82399-82408
Position: Challenges and Future Directions of Data-Centric AI Alignment
Min-Hsuan Yeh, Jeffrey Wang, Xuefeng Du, Seongheon Park, Leitian Tao, Shawn Im, Yixuan Li; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82409-82425
Position: Editing Large Language Models Poses Serious Safety Risks
Paul Youssef, Zhixue Zhao, Daniel Braun, Jörg Schlötterer, Christin Seifert; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82426-82440
Position: Trustworthy AI Agents Require the Integration of Large Language Models and Formal Methods
Yedi Zhang, Yufan Cai, Xinyue Zuo, Xiaokun Luan, Kailong Wang, Zhe Hou, Yifan Zhang, Zhiyuan Wei, Meng Sun, Jun Sun, Jing Sun, Jin Song Dong; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82441-82459
Position: Language model developers should report train-test overlap
Andy K Zhang, Kevin Klyman, Yifan Mai, Yoav Levine, Yian Zhang, Rishi Bommasani, Percy Liang; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82460-82482
Position: AI Evaluation Should Learn from How We Test Humans
Yan Zhuang, Qi Liu, Zachary Pardos, Patrick C. Kyllonen, Jiyun Zu, Zhenya Huang, Shijin Wang, Enhong Chen; Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82483-82508
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