Machine Learning

Accelerating Vehicle Routing via AI-Initialized Genetic Algorithms

Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT

Efficient Fairness-Performance Pareto Front Computation

GradMetaNet: An Equivariant Architecture for Learning on Gradients

Non-rectangular Robust MDPs with Normed Uncertainty Sets

On the Convergence of Single-Timescale Actor-Critic

Policy Optimized Text-to-Image Pipeline Design

State Entropy Regularization for Robust Reinforcement Learning

From Glucose Patterns to Health Outcomes: A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis

TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model