Matthew Repasky

According to our database, Matthew Repasky authored at least 6 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Agent Reinforcement Learning for Joint Police Patrol and Dispatch.

Matthew Repasky, He Wang, Yao Xie

CoRR, 2024

Stage-Regularized Neural Stein Critics For Testing Goodness-Of-Fit Of Generative Models.

Matthew Repasky, Xiuyuan Cheng, Yao Xie

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Neural Stein Critics With Staged L ²-Regularization.

Matthew Repasky, Xiuyuan Cheng, Yao Xie

IEEE Trans. Inf. Theory, November, 2023

Deep graph kernel point processes.

Zheng Dong, Matthew Repasky, Xiuyuan Cheng, Yao Xie

CoRR, 2023

Streaming Low-Rank Matrix Data Assimilation and Change Identification.

Henry Shaowu Yuchi, Matthew Repasky, Terry Ma, Yao Xie

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Power Grid Faults Classification via Low-Rank Tensor Modeling.

Matthew Repasky, Yao Xie, Yichen Zhang, Feng Qiu

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023