S. Lee

RL Perceptron: Generalization Dynamics of Policy Learning in High Dimensions

2025 · Physical Review X

Reinforcement learning (RL) algorithms have transformed many domains of machine learning. To tackle real-world problems, RL often relies on neural networks to learn policies directly from pixels or other high-dimensional sensory input. By contrast, many …

Learned Image Compression and Restoration for Digital Pathology

2025 · arXiv (Cornell University)

Digital pathology images play a crucial role in medical diagnostics, but their ultra-high resolution and large file sizes pose significant challenges for storage, transmission, and real-time visualization. To address these issues, we propose CLERIC, a …