1 citations · 1 across the 3 of their papers we have counts for
3 papers
math.NA2024
Adaptive deep density approximation for stochastic dynamical systems
Junjie He, Qifeng Liao, Xiaoliang Wan
In this paper we consider adaptive deep neural network approximation for stochastic dynamical systems. Based on the Liouville equation associated with the stochastic dynamical syst…
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…
stat.ML2021★ 1 cited
Augmented KRnet for density estimation and approximation
Xiaoliang Wan, Kejun Tang
In this work, we have proposed augmented KRnets including both discrete and continuous models. One difficulty in flow-based generative modeling is to maintain the invertibility of…