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Bayesian multiscale deep generative model for the solution of
  high-dimensional inverse problems

Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems

4 February 2021
Yin Xia
N. Zabaras
ArXivPDFHTML

Papers citing "Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems"

4 / 4 papers shown
Title
Bayesian Inverse Problems Meet Flow Matching: Efficient and Flexible Inference via Transformers
Bayesian Inverse Problems Meet Flow Matching: Efficient and Flexible Inference via Transformers
Daniil Sherki
Ivan V. Oseledets
Ekaterina A. Muravleva
62
0
0
03 Mar 2025
VI-DGP: A variational inference method with deep generative prior for
  solving high-dimensional inverse problems
VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems
Yingzhi Xia
Qifeng Liao
Jinglai Li
24
2
0
22 Feb 2023
Deep Learning for Simultaneous Inference of Hydraulic and Transport
  Properties
Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties
Zitong Zhou
N. Zabaras
D. Tartakovsky
26
16
0
24 Oct 2021
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
89
206
0
10 Jun 2018
1