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Recipes for when Physics Fails: Recovering Robust Learning of Physics
  Informed Neural Networks

Recipes for when Physics Fails: Recovering Robust Learning of Physics Informed Neural Networks

26 October 2021
Minh Nguyen
Luke McLennan
T. Andeen
Avik Roy
    PINN
ArXivPDFHTML

Papers citing "Recipes for when Physics Fails: Recovering Robust Learning of Physics Informed Neural Networks"

3 / 3 papers shown
Title
Unsupervised Representation Learning from Sparse Transformation Analysis
Unsupervised Representation Learning from Sparse Transformation Analysis
Yue Song
Thomas Anderson Keller
Yisong Yue
Pietro Perona
Max Welling
DRL
41
0
0
07 Oct 2024
Physics-informed Neural Networks with Unknown Measurement Noise
Physics-informed Neural Networks with Unknown Measurement Noise
Philipp Pilar
Niklas Wahlström
PINN
23
6
0
28 Nov 2022
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and
  Inverse PDE Problems with Noisy Data
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
Liu Yang
Xuhui Meng
George Karniadakis
PINN
186
763
0
13 Mar 2020
1