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Spectral-Bias and Kernel-Task Alignment in Physically Informed Neural
  Networks

Spectral-Bias and Kernel-Task Alignment in Physically Informed Neural Networks

12 July 2023
Inbar Seroussi
Asaf Miron
Z. Ringel
    PINN
ArXivPDFHTML

Papers citing "Spectral-Bias and Kernel-Task Alignment in Physically Informed Neural Networks"

3 / 3 papers shown
Title
Generic bounds on the approximation error for physics-informed (and)
  operator learning
Generic bounds on the approximation error for physics-informed (and) operator learning
Tim De Ryck
Siddhartha Mishra
PINN
59
58
0
23 May 2022
Improved architectures and training algorithms for deep operator
  networks
Improved architectures and training algorithms for deep operator networks
Sifan Wang
Hanwen Wang
P. Perdikaris
AI4CE
42
102
0
04 Oct 2021
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
129
435
0
18 Dec 2020
1