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Laplace HypoPINN: Physics-Informed Neural Network for hypocenter
  localization and its predictive uncertainty

Laplace HypoPINN: Physics-Informed Neural Network for hypocenter localization and its predictive uncertainty

28 May 2022
M. Izzatullah
I. Yildirim
U. Waheed
T. Alkhalifah
ArXivPDFHTML

Papers citing "Laplace HypoPINN: Physics-Informed Neural Network for hypocenter localization and its predictive uncertainty"

5 / 5 papers shown
Title
Joint Microseismic Event Detection and Location with a Detection
  Transformer
Joint Microseismic Event Detection and Location with a Detection Transformer
Yuanyuan Yang
C. Birnie
T. Alkhalifah
28
1
0
16 Jul 2023
Physics reliable frugal uncertainty analysis for full waveform inversion
Physics reliable frugal uncertainty analysis for full waveform inversion
M. Izzatullah
M. Ravasi
T. Alkhalifah
13
2
0
13 May 2023
Posterior sampling with CNN-based, Plug-and-Play regularization with
  applications to Post-Stack Seismic Inversion
Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion
M. Izzatullah
T. Alkhalifah
J. Romero
M. Corrales
N. Luiken
M. Ravasi
34
2
0
30 Dec 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
172
1,100
0
27 Apr 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
170
755
0
13 Mar 2020
1