3 papers
cs.CV2026
Improving Lunar Topography with Deep Learning Schrödinger Bridges
Matthew Repasky, Erwan Mazarico, Michael K. Barker +3
Increasing the resolution of planetary topography models can enable a better understanding of surface processes and geomorphology; however, existing analytical super-resolution met…
stat.AP2025
Modeling Discrete Coating Degradation Events via Hawkes Processes
Matthew Repasky, Henry Yuchi, Fritz Friedersdorf +1
Forecasting the degradation of coated materials has long been a topic of critical interest in engineering, as it has enormous implications for both system maintenance and sustainab…
cs.LG2024
Multi-Agent Reinforcement Learning for Joint Police Patrol and Dispatch
Matthew Repasky, He Wang, Yao Xie
Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch…