Cs-Lg
Multi-view biomedical foundation models for molecule-target and property prediction
Weisfeiler and Lehman Go Categorical
Calibrating Generative AI to Produce Realistic Essays for Data Augmentation
Revisiting Emotions Representation for Recognition in the Wild
A Unified Framework for LLM Watermarks
Semantically Labelled Automata for Multi-Task Reinforcement Learning with LTL Instructions
Optimal Abstractions for Verifying Properties of Kolmogorov-Arnold Networks (KANs)
Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent Pathfinding
Disentanglement by means of action-induced representations
Agentic Uncertainty Reveals Agentic Overconfidence
Parameter-free Dynamic Regret: Time-varying Movement Costs, Delayed Feedback, and Memory
Learning Deep Hybrid Models with Sharpness-Aware Minimization
Calibrating Tabular Anomaly Detection via Optimal Transport
Displacement-Resistant Extensions of DPO with Nonconvex $f$-Divergences
On the Convergence of Multicalibration Gradient Boosting
Soft Forward-Backward Representations for Zero-shot Reinforcement Learning with General Utilities
DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
SuReNav: Superpixel Graph-based Constraint Relaxation for Navigation in Over-constrained Environments
Fair Transit Stop Placement: A Clustering Perspective and Beyond
Method for noise-induced regularization in quantum neural networks
Simmering: Sufficient is better than optimal for training neural networks
Deep Concept Identification for Generative Design
