Mou, Shaoshuai

6 publications

TMLR 2025 Deep Koopman Learning Using Noisy Data Wenjian Hao, Devesh Upadhyay, Shaoshuai Mou

CVPR 2025 Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection Wenxi Chen, Raymond A. Yeh, Shaoshuai Mou, Yan Gu

TMLR 2025 Online Control-Informed Learning Zihao Liang, Tianyu Zhou, Zehui Lu, Shaoshuai Mou

AISTATS 2024 Unsupervised Change Point Detection in Multivariate Time Series Daoping Wu, Suhas Gundimeda, Shaoshuai Mou, Christopher Quinn

NeurIPS 2021 Safe Pontryagin Differentiable Programming Wanxin Jin, Shaoshuai Mou, George J. Pappas

NeurIPS 2020 Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou