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Deep Bayesian inference for seismic imaging with tasks

Deep Bayesian inference for seismic imaging with tasks

10 October 2021
Ali Siahkoohi
G. Rizzuti
Felix J. Herrmann
    BDL
    UQCV
ArXivPDFHTML

Papers citing "Deep Bayesian inference for seismic imaging with tasks"

6 / 6 papers shown
Title
Learned multiphysics inversion with differentiable programming and
  machine learning
Learned multiphysics inversion with differentiable programming and machine learning
M. Louboutin
Ziyi Yin
Rafael Orozco
Thomas J. Grady
Ali Siahkoohi
G. Rizzuti
Philipp A. Witte
O. Møyner
Gerard Gorman
Felix J. Herrmann
AI4CE
13
10
0
12 Apr 2023
Preconditioned training of normalizing flows for variational inference
  in inverse problems
Preconditioned training of normalizing flows for variational inference in inverse problems
Ali Siahkoohi
G. Rizzuti
M. Louboutin
Philipp A. Witte
Felix J. Herrmann
56
31
0
11 Jan 2021
A Contour Stochastic Gradient Langevin Dynamics Algorithm for
  Simulations of Multi-modal Distributions
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions
Wei Deng
Guang Lin
F. Liang
BDL
21
22
0
19 Oct 2020
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
197
2,254
0
18 Oct 2020
On the distance between two neural networks and the stability of
  learning
On the distance between two neural networks and the stability of learning
Jeremy Bernstein
Arash Vahdat
Yisong Yue
Ming-Yu Liu
ODL
187
44
0
09 Feb 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
GAN
AI4CE
66
207
0
10 Jun 2018
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