A Feynman-Kac based numerical method for the exit time probability of a class of transport problems. - Minglei Yang 005; Guannan Zhang; Diego del-Castillo-Negrete; Miroslav Stoyanov (J. Comput. Phys., 2021)

A pseudo-reversible normalizing flow for stochastic dynamical systems with various initial distributions. - Minglei Yang 005; Pengjun Wang; Diego del-Castillo-Negrete; Yanzhao Cao; Guannan Zhang (CoRR, 2023)

Diffusion-Model-Assisted Supervised Learning of Generative Models for Density Estimation. - Yanfang Liu; Minglei Yang 005; Zezhong Zhang; Feng Bao 005; Yanzhao Cao; Guannan Zhang (CoRR, 2023)

A Probabilistic Scheme for Semilinear Nonlocal Diffusion Equations with Volume Constraints. - Minglei Yang 005; Guannan Zhang; Diego del-Castillo-Negrete; Yanzhao Cao (SIAM J. Numer. Anal., 2023)

Conditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling in Quantifying Uncertainty Propagation. - Minglei Yang 005; Pengjun Wang; Ming Fan; Dan Lu 001; Yanzhao Cao; Guannan Zhang (CoRR, 2024)

A Pseudoreversible Normalizing Flow for Stochastic Dynamical Systems with Various Initial Distributions. - Minglei Yang 005; Pengjun Wang; Diego del-Castillo-Negrete; Yanzhao Cao; Guannan Zhang (SIAM J. Sci. Comput., 2024)

Multi-fidelity Parameter Estimation Using Conditional Diffusion Models. - Caroline Tatsuoka; Minglei Yang 005; Dongbin Xiu; Guannan Zhang (CoRR, 2025)

Generative AI Models for Learning Flow Maps of Stochastic Dynamical Systems in Bounded Domains. - Minglei Yang 005; Yanfang Liu; Diego del-Castillo-Negrete; Yanzhao Cao; Guannan Zhang (CoRR, 2025)