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Recommending several papers #2

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smao-astro opened this issue Nov 18, 2021 · 1 comment
Open

Recommending several papers #2

smao-astro opened this issue Nov 18, 2021 · 1 comment

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@smao-astro
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smao-astro commented Nov 18, 2021 •
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Great job! I wish that I had seen this earlier.

I would like to recommend

  1. When and why PINNs fail to train: A neural tangent kernel perspective
  2. On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks
  3. Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets
  4. Long-time integration of parametric evolution equations with physics-informed DeepONets
@vaishnavtv
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Can I also recommend this paper on an Active Learning strategy for generating collocation points in PINNs?
Optimal Transport Based Refinement of Physics-Informed Neural Networks

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@vaishnavtv @smao-astro