Cs-Lg
Nash Equilibria in Games with Playerwise Concave Coupling Constraints: Existence and Computation
Adversarial generalization of unfolding (model-based) networks
FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models
XTransfer: Modality-Agnostic Few-Shot Model Transfer for Human Sensing at the Edge
Knowledgeable Language Models as Black-Box Optimizers for Personalized Medicine
Estimating Semantic Alphabet Size for LLM Uncertainty Quantification
Feature Identification via the Empirical NTK
RMT-KD: Random Matrix Theoretic Causal Knowledge Distillation
Optimal Bias-variance Tradeoff in Matrix and Tensor Estimation
Artificial intelligence for partial differential equations in computational mechanics: A review
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
