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Enforcing Deterministic Constraints on Generative Adversarial Networks
  for Emulating Physical Systems
v1v2 (latest)

Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems

15 November 2019
Zeng Yang
Jin-Long Wu
Heng Xiao
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems"

3 / 3 papers shown
Title
Multiscale Neural Operator: Learning Fast and Grid-independent PDE
  Solvers
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers
Björn Lütjens
Catherine H. Crawford
C. Watson
C. Hill
Dava Newman
AI4CE
52
10
0
23 Jul 2022
Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic
  Equations through a Physics-Informed Convolutional Autoencoder
Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder
R. Cooper
Andrey A. Popov
Adrian Sandu
65
4
0
27 Aug 2021
Solution of Physics-based Bayesian Inverse Problems with Deep Generative
  Priors
Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors
Dhruv V. Patel
Deep Ray
Assad A. Oberai
AI4CE
72
43
0
06 Jul 2021
1