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Implicit Stochastic Gradient Descent for Training Physics-informed
  Neural Networks

Implicit Stochastic Gradient Descent for Training Physics-informed Neural Networks

3 March 2023
Ye Li
Songcan Chen
Shengyi Huang
    PINN
ArXivPDFHTML

Papers citing "Implicit Stochastic Gradient Descent for Training Physics-informed Neural Networks"

2 / 2 papers shown
Title
On the eigenvector bias of Fourier feature networks: From regression to
  solving multi-scale PDEs with physics-informed neural networks
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks
Sifan Wang
Hanwen Wang
P. Perdikaris
131
438
0
18 Dec 2020
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework
O. Hennigh
S. Narasimhan
M. A. Nabian
Akshay Subramaniam
Kaustubh Tangsali
M. Rietmann
J. Ferrandis
Wonmin Byeon
Z. Fang
S. Choudhry
PINN
AI4CE
93
126
0
14 Dec 2020
1