Cs-Lg
Inverse problems with diffusion models: MAP estimation via mode-seeking loss
Learning Nonlinear Heterogeneity in Physical Kolmogorov-Arnold Networks
Think-Augmented Function Calling: Improving LLM Parameter Accuracy Through Embedded Reasoning
To Grok Grokking: Provable Grokking in Ridge Regression
Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted Transformer Network
Data-Centric Interpretability for LLM-based Multi-Agent Reinforcement Learning
CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Vision Transformers
Radon--Wasserstein Gradient Flows for Interacting-Particle Sampling in High Dimensions
Extreme Weather Nowcasting via Local Precipitation Pattern Prediction
Performative Learning Theory
Near-Optimal Dynamic Matching via Coarsening with Application to Heart Transplantation
QUATRO: Query-Adaptive Trust Region Policy Optimization for LLM Fine-tuning
CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs
D$^2$Quant: Accurate Low-bit Post-Training Weight Quantization for LLMs
Deep Unfolded Fractional Optimization for Maximizing Robust Throughput in 6G Networks
Robust Federated Learning via Byzantine Filtering over Encrypted Updates
Position: Machine Learning for Heart Transplant Allocation Policy Optimization Should Account for Incentives
Generative Modeling via Drifting
Steering LLMs via Scalable Interactive Oversight
Simulated Adoption: Decoupling Magnitude and Direction in LLM In-Context Conflict Resolution
PackInfer: Compute- and I/O-Efficient Attention for Batched LLM Inference
Back to Basics: Revisiting Exploration in Reinforcement Learning for LLM Reasoning via Generative Probabilities
