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Efficient Bayesian Physics Informed Neural Networks for Inverse Problems
  via Ensemble Kalman Inversion

Efficient Bayesian Physics Informed Neural Networks for Inverse Problems via Ensemble Kalman Inversion

13 March 2023
Andrew Pensoneault
Xueyu Zhu
    PINN
ArXivPDFHTML

Papers citing "Efficient Bayesian Physics Informed Neural Networks for Inverse Problems via Ensemble Kalman Inversion"

3 / 3 papers shown
Title
Enhanced BPINN Training Convergence in Solving General and Multi-scale Elliptic PDEs with Noise
Enhanced BPINN Training Convergence in Solving General and Multi-scale Elliptic PDEs with Noise
Yilong Hou
Xi’an Li
Jinran Wu
You-Gan Wang
61
1
0
18 Aug 2024
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
170
755
0
13 Mar 2020
Integrating Scientific Knowledge with Machine Learning for Engineering
  and Environmental Systems
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
J. Willard
X. Jia
Shaoming Xu
M. Steinbach
Vipin Kumar
AI4CE
80
385
0
10 Mar 2020
1