A Spectral Approach for Learning Spatiotemporal Neural Differential Equations. - Mingtao Xia; Xiangting Li 001; Qijing Shen; Tom Chou (CoRR, 2023)

Squared Wasserstein-2 Distance for Efficient Reconstruction of Stochastic Differential Equations. - Mingtao Xia; Xiangting Li 001; Qijing Shen; Tom Chou (CoRR, 2024)

Gradient-flow adaptive importance sampling for Bayesian leave one out cross-validation for sigmoidal classification models. - Joshua C. Chang; Xiangting Li 001; Shixin Xu; Hao-Ren Yao; Julia Porcino; Carson C. Chow (CoRR, 2024)

An efficient Wasserstein-distance approach for reconstructing jump-diffusion processes using parameterized neural networks. - Mingtao Xia; Xiangting Li 001; Qijing Shen; Tom Chou (CoRR, 2024)

Reliable ligand discrimination in stochastic multistep kinetic proofreading: First passage time vs. product counting strategies. - Xiangting Li 001; Tom Chou (PLoS Comput. Biol., 2024)

Learning unbounded-domain spatiotemporal differential equations using adaptive spectral methods. - Mingtao Xia; Xiangting Li 001; Qijing Shen; Tom Chou (J. Appl. Math. Comput., 2024)