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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

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Volume 322: UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, 06 December 2025, San Diego Convention Center, San Diego, USA

[edit]

Editors: Marco Fumero, Clementine Domine, Zorah L"ahner, Irene Cannistraci, Bo Zhao, Alex Williams

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Preface of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models

; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:1-9

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Enhancing Multimodal Product Retrieval in E-Commerce by Reversing Typographic Attacks

Janet Jenq, Hongda Shen; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:10-29

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On Defining Neural Averaging

Su Hyeong Lee, Richard Ngo; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:30-44

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An Empirical Study on Unifying JEPA and Language Supervision for Visual Representation Learning

Shixuan Liu, Daniel A Li, Yiwei Lyu, Akhil Kondepudi, Honglak Lee, Todd C Hollon; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:45-56

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Mice to Machines: Neural Representations from Visual Cortex for Domain Generalization

Ahmed Rashid Qazi, Hamd Jalil, Asim Iqbal; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:57-69

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Representing Neural Network Layers as Linear Operations via Koopman Operator Theory

Nishant Suresh Aswani, Saif Jabari, Muhammad Shafique; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:70-80

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Brain–Language Model Alignment: Insights into the Platonic Hypothesis and Intermediate-Layer Advantage

Angela Lopez-Cardona, Sebastian Idesis, Mireia Masias Bruns, Sergi Abadal, Ioannis Arapakis; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:81-101

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MultiPersona-Align: Zero-Shot Multi-Subject Personalized Image Generation with Layout-Guidance via Dual Representation Alignment

Veddhanth Chakravarthy, Samir Kumar das mohapatra, Chandrakala S; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:102-114

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Interpreting convolutional neural networks to study wide-field amacrine cell inhibition in the retina

Michaela Vystrčilová, Shashwat Sridhar, Max F Burg, Tim Gollisch, Alexander S. Ecker; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:115-128

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Bridging Large Gaps in Neural Network Representations with Model Stitching

Neil Traft; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:129-139

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Any-Subgroup Equivariant Networks via Symmetry Breaking

Abhinav Goel, Derek Lim, Hannah Lawrence, Stefanie Jegelka, Ningyuan Huang; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:140-158

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Transformers as Unrolled Inference in Probabilistic Laplacian Eigenmaps

Aditya Ravuri, Neil D Lawrence; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:159-167

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Windsock is Dancing: Adaptive Multimodal Retrieval-Augmented Generation

Shu Zhao, Tianyi Shen, Nilesh Ahuja, Omesh Tickoo, Vijaykrishnan Narayanan; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:168-182

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DocQIR-Emb: Document Image Retrieval with Multi-lingual Question Query

Chih-Hui Ho, Giovanna Carreira Marinho, Felipe Viana, Varad Pimpalkhute, Rodolfo Luis Tonoli, Andre Von Zuben; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:183-198

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Improving Generation Quality of Long-Tailed Diffusion via Disentangled Latent Representations

Esther Rodriguez, Monica Welfert, Samuel McDowell, Nathan Stromberg, Julian Antolin Camarena, Lalitha Sankar; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:199-211

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Quantum Relational Knowledge Distillation

Chen-Yu Liu, Kuan-Cheng Chen, Keisuke Murota, Samuel Yen-Chi Chen, Enrico Rinaldi; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:212-234

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Cross-Modal Representational Alignment with LLM Priors for Image Generation

Mykola Vysotskyi, Zahar Kohut, Anna-Alina Bondarets, Taras Rumezhak, Volodymyr Karpiv; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:235-247

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Unifying Vision-Language Latents for Zero-label Image Caption Enhancement

Sanghyun Byun, Jung Ick Guack, Mohanad Odema, Baisub Lee, Jacob Song, Woo Seong Chung; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:248-261

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Superposition in Graph Neural Networks

Lukas Pertl, Han Xuanyuan, Pietro Lio; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:262-274

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Neural Correlates of Language Models Are Specific to Human Language

Iñigo Parra; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:275-289

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Evaluating Foundation Models’ 3D Understanding Through Multi-View Correspondence Analysis

Valentina Lilova, Toyesh Chakravorty, Julian I. Bibo, Emma Boccaletti, Brandon Li, Lívia Baxová, Cees G. M. Snoek, Mohammadreza Salehi; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:290-316

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Weight Weaving: Parameter Pooling for Data-Free Model Merging

Levy Chaves, Eduardo Valle, Sandra Avila; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:317-329

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SemCLIP: A Semantic Memory-Aligned Vision Language Model

Tanveer F Syeda-Mahmood, Niharika S. D’Souza, Ken C. L. Wong, Raziuddin Mahmood, Luyao Shi, Ashutosh Jadhav, Satyananda Kashyap, David Beymer; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:330-341

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Superposition disentanglement of neural representations reveals hidden alignment

André Longon, David Klindt, Meenakshi Khosla; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:342-359

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GraphMatch: Fusing Language and Graph Representations in a Dynamic Two-Sided Work Marketplace

Mikołaj Sacha, Hammad Jafri, Mattie Terzolo, Ayan Sinha, Andrew Rabinovich; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:360-373

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An Empirical Study of Task and Feature Correlations in the Reuse of Pre-trained Models

Jama Hussein Mohamud, Willie Brink; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:374-384

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Dead Feature Counts in Sparse Autoencoders Predict Underlying Deep Q Networks’ Effectiveness

Coleman DuPlessie; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:385-397

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On Task Vectors and Gradients

Luca Zhou, Daniele Solombrino, Donato Crisostomi, Maria Sofia Bucarelli, Giuseppe Alessio D’Inverno, Fabrizio Silvestri, Emanuele Rodolà; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:398-417

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TextIT: Inference-Time Representation Alignment for Improved Visual Text Generation in Diffusion Models

Abhikhya Tripathy, Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:418-430

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Exploring Augmentation-Driven Invariances for Graph Self-supervised Learning in Spatial Omics

Lovro Rabuzin, Michel Tarnow, Valentina Boeva; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:431-445

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Escaping Plato’s Cave: JAM for Aligning Independently Trained Vision and Language Models

Hyoseo Yoon, Been Kim, Yisong Yue; Proceedings of UniReps: the Third Edition of the Workshop on Unifying Representations in Neural Models, PMLR 322:446-458

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