1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Diffusion-Model-Assisted Supervised Learning of Generative Models for Density Estimation
Yanfang Liu, Minglei Yang, Zezhong Zhang +3
We present a supervised learning framework of training generative models for density estimation. Generative models, including generative adversarial networks, normalizing flows, va…
math.NA2023★ 1 cited
A pseudo-reversible normalizing flow for stochastic dynamical systems with various initial distributions
Minglei Yang, Pengjun Wang, Diego del-Castillo-Negrete +2
We present a pseudo-reversible normalizing flow method for efficiently generating samples of the state of a stochastic differential equation (SDE) with different initial distributi…