Taper-based scattering formulation of the Helmholtz equation to improve the training process of Physics-Informed Neural Networks

15 April 2024

Papers citing "Taper-based scattering formulation of the Helmholtz equation to improve the training process of Physics-Informed Neural Networks"

5 / 5 papers shown

Title
Physics-informed neural networks for inverse problems in supersonic flows Ameya Dilip Jagtap Zhiping Mao Nikolaus Adams George Karniadakis PINN 39 218 0 23 Feb 2022
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism L. McClenny U. Braga-Neto PINN 72 458 0 07 Sep 2020
When and why PINNs fail to train: A neural tangent kernel perspective Sizhuang He Xinling Yu P. Perdikaris 130 908 0 28 Jul 2020
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min Lin Fred Hamprecht Yoshua Bengio Aaron Courville 141 1,438 0 22 Jun 2018
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 323 18,613 0 06 Feb 2015