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math.NA2026
Deep operator learning for efficient sampling from invariant measures of stochastic differential equations
Ling Guo, Lei Li, Jingtong Zhang
We introduce an amortized neural sampler that combines operator learning with flow methods for sampling. It maps SDE coefficient functions to pushforwards from a reference measure…
math.NA2023
Solving stationary nonlinear Fokker-Planck equations via sampling
Lei Li, Yijia Tang, Jingtong Zhang
Solving the stationary nonlinear Fokker-Planck equations is important in applications and examples include the Poisson-Boltzmann equation and the two layer neural networks. Making…