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

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

21 July 2023
R. Gao
Yufeng Wang
Min Yang
Chuanjun Chen
    GAN
ArXivPDFHTML

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

3 / 3 papers shown
Title
Residual-Quantile Adjustment for Adaptive Training of Physics-informed
  Neural Network
Residual-Quantile Adjustment for Adaptive Training of Physics-informed Neural Network
Jiayue Han
Zhiqiang Cai
Zhiyou Wu
Xiang Zhou
32
7
0
09 Sep 2022
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and
  Inverse PDE Problems with Noisy Data
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
Liu Yang
Xuhui Meng
George Karniadakis
PINN
170
755
0
13 Mar 2020
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain
  Decomposition
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition
E. Kharazmi
Zhongqiang Zhang
George Karniadakis
117
503
0
11 Mar 2020
1