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cs.LG2026
A transition-density-based operator learning method for Fokker-Planck equations with various initial conditions
Li Zeng, Xiaoliang Wan, Yaobin Wang +2
Solving Fokker-Planck equations (FPEs) for multiple initial conditions typically requires repeated computations, leading to substantial computational costs. In this work, we propos…
cs.LG2022
Adaptive deep density approximation for fractional Fokker-Planck equations
Li Zeng, Xiaoliang Wan, Tao Zhou
In this work, we propose adaptive deep learning approaches based on normalizing flows for solving fractional Fokker-Planck equations (FPEs). The solution of a FPE is a probability…