Computing Committor Functions for the Study of Rare Events Using Deep Learning. - Qianxiao Li; Bo Lin 005; Weiqing Ren (CoRR, 2019)

A Data Driven Method for Computing Quasipotentials. - Bo Lin 005; Qianxiao Li; Weiqing Ren (MSML, 2021)

Computing the Invariant Distribution of Randomly Perturbed Dynamical Systems Using Deep Learning. - Bo Lin 005; Qianxiao Li; Weiqing Ren (J. Sci. Comput., 2022)

Computing high-dimensional invariant distributions from noisy data. - Bo Lin 005; Qianxiao Li; Weiqing Ren (J. Comput. Phys., 2023)

Computing transition pathways for the study of rare events using deep reinforcement learning. - Bo Lin 005; Yangzheng Zhong; Weiqing Ren (J. Comput. Phys., 2025)

A Deep Learning Method for Computing Committor Functions with Adaptive Sampling. - Bo Lin 005; Weiqing Ren (SIAM J. Sci. Comput., 2025)