Computing & Information Technology

Context-Aware Optimal Transport Learning for Retinal Color Fundus Image Enhancement

DGR-MIL: Diverse Global Representation in Multiple Instance Learning

Label-Efficient Learning and Continuous Monitoring of Motor Function Symptoms

System and Methods for Epipolar Plane Imaging in Event-Based Cameras for Depth Estimation

Excitable Integral Reinforcement Learning (EIRL)

Superior Computer Chess with Model Predictive Control, Reinforcement Learning, and Rollout Algorithms

Decentralized Excitable Integral Reinforcement Learning (dEIRL) for Hypersonic Vehicles

GLIMMER: Advanced Blood Glucose Prediction Model for Type 1 Diabetes

Novel Framework for Diagnosing Spatial Representativeness Ground Snow Stations in Variable Terrain

Exploiting Vulnerabilities and Security Threats in Retrieval-Augmented Generative Models: The LIAR Attack Framework