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Is the neural tangent kernel of PINNs deep learning general partial
  differential equations always convergent ?

Is the neural tangent kernel of PINNs deep learning general partial differential equations always convergent ?

9 December 2024
Zijian Zhou
Zhenya Yan
ArXivPDFHTML

Papers citing "Is the neural tangent kernel of PINNs deep learning general partial differential equations always convergent ?"

4 / 4 papers shown
Title
The Challenges of the Nonlinear Regime for Physics-Informed Neural
  Networks
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
Andrea Bonfanti
Giuseppe Bruno
Cristina Cipriani
32
7
0
06 Feb 2024
Deep learning soliton dynamics and complex potentials recognition for 1D
  and 2D PT-symmetric saturable nonlinear Schrödinger equations
Deep learning soliton dynamics and complex potentials recognition for 1D and 2D PT-symmetric saturable nonlinear Schrödinger equations
Jin Song
Ilya Shenbin
89
25
0
29 Sep 2023
Data-driven peakon and periodic peakon travelling wave solutions of some
  nonlinear dispersive equations via deep learning
Data-driven peakon and periodic peakon travelling wave solutions of some nonlinear dispersive equations via deep learning
Li Wang
Zhenya Yan
76
47
0
12 Jan 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
Sizhuang He
Hanwen Wang
P. Perdikaris
131
438
0
18 Dec 2020
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