Power Grid Faults Classification via Low-Rank Tensor Modeling. - Matthew Repasky; Yao Xie 002; Yichen Zhang; Feng Qiu (ACSSC, 2023)

Streaming Low-Rank Matrix Data Assimilation and Change Identification. - Henry Shaowu Yuchi; Matthew Repasky; Terry Ma; Yao Xie 002 (ACSSC, 2023)

Deep graph kernel point processes. - Zheng Dong 005; Matthew Repasky; Xiuyuan Cheng; Yao Xie 002 (CoRR, 2023)

Neural Stein Critics With Staged L 2-Regularization. - Matthew Repasky; Xiuyuan Cheng; Yao Xie 002 (IEEE Trans. Inf. Theory, 2023)

Stage-Regularized Neural Stein Critics For Testing Goodness-Of-Fit Of Generative Models. - Matthew Repasky; Xiuyuan Cheng; Yao Xie 002 (ICASSP, 2024)

Multi-Agent Reinforcement Learning for Joint Police Patrol and Dispatch. - Matthew Repasky; He Wang; Yao Xie (CoRR, 2024)

Posterior sampling via Langevin dynamics based on generative priors. - Vishal Purohit; Matthew Repasky; Jianfeng Lu 001; Qiang Qiu 001; Yao Xie 002; Xiuyuan Cheng (CoRR, 2024)

mrepasky3/topography_sr_schrodinger: Lunar Topography Super-Resolution Schrödinger Bridges. - Matthew Repasky; Erwan Mazarico; Michael Barker; Stefano Bertone; Terence Sabaka; Yao Xie 002 (Zenodo, 2024)

Consistency Posterior Sampling for Diverse Image Synthesis. - Vishal Purohit; Matthew Repasky; Jianfeng Lu 001; Qiang Qiu 001; Yao Xie 002; Xiuyuan Cheng (CVPR, 2025)