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Maximum-likelihood Estimators in Physics-Informed Neural Networks for
  High-dimensional Inverse Problems

Maximum-likelihood Estimators in Physics-Informed Neural Networks for High-dimensional Inverse Problems

12 April 2023
G. S. Gusmão
A. Medford
    PINN
ArXivPDFHTML

Papers citing "Maximum-likelihood Estimators in Physics-Informed Neural Networks for High-dimensional Inverse Problems"

2 / 2 papers shown
Title
Physics-informed neural networks with hard constraints for inverse
  design
Physics-informed neural networks with hard constraints for inverse design
Lu Lu
R. Pestourie
Wenjie Yao
Zhicheng Wang
F. Verdugo
Steven G. Johnson
PINN
50
495
0
09 Feb 2021
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
761
0
13 Mar 2020
1