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Stochastic full waveform inversion with deep generative prior for
  uncertainty quantification

Stochastic full waveform inversion with deep generative prior for uncertainty quantification

7 June 2024
Yuke Xie
Hervé Chauris
N. Desassis
ArXiv (abs)PDFHTML

Papers citing "Stochastic full waveform inversion with deep generative prior for uncertainty quantification"

6 / 6 papers shown
Title
A prior regularized full waveform inversion using generative diffusion
  models
A prior regularized full waveform inversion using generative diffusion models
Fu Wang
Xinquan Huang
T. Alkhalifah
DiffM
71
27
0
22 Jun 2023
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
280
30,103
0
01 Mar 2022
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
497
2,414
0
18 Oct 2020
Stochastic seismic waveform inversion using generative adversarial
  networks as a geological prior
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
L. Mosser
O. Dubrule
M. Blunt
GANAI4CE
102
208
0
10 Jun 2018
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
207
9,548
0
31 Mar 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference
  Algorithm
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
Qiang Liu
Dilin Wang
BDL
70
1,092
0
16 Aug 2016
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