Beyond the Blood Draw: Explainable Machine Learning for Non-Invasive Dysglycemia Risk Screening

Memory-Guided Trust-Region Bayesian Optimization (MG-TuRBO) for High Dimensions

EngageTriBoost: Predictive Modeling of User Engagement in Digital Mental Health Intervention Using Explainable Machine Learning

Reservoir observer enhanced with residual calibration and attention mechanism

Creator Incentives in Recommender Systems: A Cooperative Game-Theoretic Approach for Stable and Fair Collaboration in Multi-Agent Bandits

Efficient RL Training for LLMs with Experience Replay

Wireless Communication Enhanced Value Decomposition for Multi-Agent Reinforcement Learning

A Little Rank Goes a Long Way: Random Scaffolds with LoRA Adapters Are All You Need

Adversarial Sensor Errors for Safe and Robust Wind Turbine Fleet Control

IKKA: Inversion Classification via Critical Anomalies for Robust Visual Servoing

Adaptive Simulation Experiment for LLM Policy Optimization

EvoLen: Evolution-Guided Tokenization for DNA Language Model

Smartwatch-Based Sitting Time Estimation in Real-World Office Settings

Structural Evaluation Metrics for SVG Generation via Leave-One-Out Analysis

Loom: A Scalable Analytical Neural Computer Architecture

Hierarchical Kernel Transformer: Multi-Scale Attention with an Information-Theoretic Approximation Analysis

Spectral Geometry of LoRA Adapters Encodes Training Objective and Predicts Harmful Compliance

Finite-Sample Analysis of Nonlinear Independent Component Analysis:Sample Complexity and Identifiability Bounds

How does Chain of Thought decompose complex tasks?

Uncertainty-Aware Transformers: Conformal Prediction for Language Models

Adaptive Candidate Point Thompson Sampling for High-Dimensional Bayesian Optimization

Using Synthetic Data for Machine Learning-based Childhood Vaccination Prediction in Narok, Kenya

Delve into the Applicability of Advanced Optimizers for Multi-Task Learning

Bridging SFT and RL: Dynamic Policy Optimization for Robust Reasoning

Multi-Agent Decision-Focused Learning via Value-Aware Sequential Communication

Predictive Entropy Links Calibration and Paraphrase Sensitivity in Medical Vision-Language Models

Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learning

Modality-Aware Zero-Shot Pruning and Sparse Attention for Efficient Multimodal Edge Inference

The nextAI Solution to the NeurIPS 2023 LLM Efficiency Challenge

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning

Integrated electro-optic attention nonlinearities for transformers

Toward World Models for Epidemiology

Tracing the Chain: Deep Learning for Stepping-Stone Intrusion Detection

Policy-Aware Design of Large-Scale Factorial Experiments

Beyond Augmented-Action Surrogates for Multi-Expert Learning-to-Defer

Continuous Orthogonal Mode Decomposition: Haptic Signal Prediction in Tactile Internet

Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods

Predicting Metabolic Dysfunction-Associated Steatotic Liver Disease using Machine Learning Methods: A Retrospective Cohort Study

Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning

Bandwidth-constrained Variational Message Encoding for Cooperative Multi-agent Reinforcement Learning

Neural Two-Stage Stochastic Optimization for Solving Unit Commitment Problem

SafeAdapt: Provably Safe Policy Updates in Deep Reinforcement Learning

Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories

PhysInOne: Visual Physics Learning and Reasoning in One Suite

FIRE-CIR: Fine-grained Reasoning for Composed Fashion Image Retrieval

Detecting Diffusion-generated Images via Dynamic Assembly Forests

PDE-regularized Dynamics-informed Diffusion with Uncertainty-aware Filtering for Long-Horizon Dynamics

Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection

Regime-Conditional Retrieval: Theory and a Transferable Router for Two-Hop QA

Identification and Anonymization of Named Entities in Unstructured Information Sources for Use in Social Engineering Detection

Hypergraph Neural Networks Accelerate MUS Enumeration

ASTRA: Adaptive Semantic Tree Reasoning Architecture for Complex Table Question Answering

Neighbourhood Transformer: Switchable Attention for Monophily-Aware Graph Learning

WOMBET: World Model-Based Experience Transfer for Robust and Sample-efficient Reinforcement Learning

Low-Data Supervised Adaptation Outperforms Prompting for Cloud Segmentation Under Domain Shift

Revisiting the Capacity Gap in Chain-of-Thought Distillation from a Practical Perspective

A Mathematical Framework for Temporal Modeling and Counterfactual Policy Simulation of Student Dropout

Temporal Dropout Risk in Learning Analytics: A Harmonized Survival Benchmark Across Dynamic and Early-Window Representations

MedFormer-UR: Uncertainty-Routed Transformer for Medical Image Classification

Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs

Post-Hoc Guidance for Consistency Models by Joint Flow Distribution Learning

SenBen: Sensitive Scene Graphs for Explainable Content Moderation

R2G: A Multi-View Circuit Graph Benchmark Suite from RTL to GDSII

$p1$: Better Prompt Optimization with Fewer Prompts

Deep Learning-Based Tracking and Lineage Reconstruction of Ligament Breakup

Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition

Unified Multimodal Uncertain Inference

EfficientSign: An Attention-Enhanced Lightweight Architecture for Indian Sign Language Recognition

Skip-Connected Policy Optimization for Implicit Advantage

PRAGMA: Revolut Foundation Model

3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive Decoding

Evidential Transformation Network: Turning Pretrained Models into Evidential Models for Post-hoc Uncertainty Estimation

StructRL: Recovering Dynamic Programming Structure from Learning Dynamics in Distributional Reinforcement Learning

Generative 3D Gaussian Splatting for Arbitrary-ResolutionAtmospheric Downscaling and Forecasting

From Selection to Scheduling: Federated Geometry-Aware Correction Makes Exemplar Replay Work Better under Continual Dynamic Heterogeneity

Needle in a Haystack: One-Class Representation Learning for Detecting Rare Malignant Cells in Computational Cytology

Detection of Hate and Threat in Digital Forensics: A Case-Driven Multimodal Approach

Semantic Intent Fragmentation: A Single-Shot Compositional Attack on Multi-Agent AI Pipelines

Joint Interference Detection and Identification via Adversarial Multi-task Learning

HaloProbe: Bayesian Detection and Mitigation of Object Hallucinations in Vision-Language Models

R3PM-Net: Real-time, Robust, Real-world Point Matching Network

From Dispersion to Attraction: Spectral Dynamics of Hallucination Across Whisper Model Scales

AlphaLab: Autonomous Multi-Agent Research Across Optimization Domains with Frontier LLMs

Act or Escalate? Evaluating Escalation Behavior in Automation with Language Models

Multivariate Time Series Anomaly Detection via Dual-Branch Reconstruction and Autoregressive Flow-based Residual Density Estimation

On the Spectral Geometry of Cross-Modal Representations: A Functional Map Diagnostic for Multimodal Alignment

Structured Exploration and Exploitation of Label Functions for Automated Data Annotation

MolPaQ: Modular Quantum-Classical Patch Learning for Interpretable Molecular Generation

CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention

Reinforcement-aware Knowledge Distillation for LLM Reasoning

SubQuad: Near-Quadratic-Free Structure Inference with Distribution-Balanced Objectives in Adaptive Receptor framework

A Horizon-Aware Decision-Support Framework for Demand Forecasting Model Selection in Resilient Production Planning

Measurement-Consistent Langevin Corrector for Stabilizing Latent Diffusion Inverse Problem Solvers

Multi-agent Adaptive Mechanism Design

When & How to Write for Personalized Demand-aware Query Rewriting in Video Search

Relational Visual Similarity

From Navigation to Refinement: Revealing the Two-Stage Nature of Flow-based Diffusion Models through Oracle Velocity

On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs

STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting

OmniPrism: Learning Disentangled Visual Concept for Image Generation

FIT-GNN: Faster Inference Time for GNNs that 'FIT' in Memory Using Coarsening

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