most citedPI-VEGAN: Physics Informed Variational Embedding Generative Adversarial Networks for Stochastic Differential Equations

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

math.NA2025

The Arrow-Hurwicz iteration for virtual element discretizations of the incompressible Navier-Stokes equations

Binbin Du, Shenxiang Cheng, Yue Yu +1

This article presents a detailed analysis of the Arrow-Hurwicz iteration applied to the solution of the incompressible Navier-Stokes equations, discretized by a divergence-free mix…

cs.LG2023★ 2 cited

PI-VEGAN: Physics Informed Variational Embedding Generative Adversarial Networks for Stochastic Differential Equations

Ruisong Gao, Yufeng Wang, Min Yang +1

We present a new category of physics-informed neural networks called physics informed variational embedding generative adversarial network (PI-VEGAN), that effectively tackles the…