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Solving Bayesian Inverse Problems via Variational Autoencoders
v1v2v3v4v5v6v7v8v9 (latest)

Solving Bayesian Inverse Problems via Variational Autoencoders

Mathematical and Scientific Machine Learning (MSML), 2019
5 December 2019
Hwan Goh
Sheroze Sheriffdeen
J. Wittmer
T. Bui-Thanh
    BDL
ArXiv (abs)PDFHTML

Papers citing "Solving Bayesian Inverse Problems via Variational Autoencoders"

13 / 13 papers shown
Geometric Autoencoder Priors for Bayesian Inversion: Learn First Observe Later
Geometric Autoencoder Priors for Bayesian Inversion: Learn First Observe Later
Arnaud Vadeboncoeur
Gregory Duthé
Mark Girolami
Eleni Chatzi
AI4CE
127
0
0
24 Sep 2025
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems
Matthias Chung
Bas Peters
Michael Solomon
267
4
0
10 May 2025
Enhanced uncertainty quantification variational autoencoders for the solution of Bayesian inverse problems
Enhanced uncertainty quantification variational autoencoders for the solution of Bayesian inverse problems
Andrea Tonini
Luca Dede'
UQCVBDL
264
0
0
18 Feb 2025
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling
Alex Glyn-Davies
Arnaud Vadeboncoeur
O. Deniz Akyildiz
Ieva Kazlauskaite
Mark Girolami
PINN
400
1
0
10 Sep 2024
Learning WENO for entropy stable schemes to solve conservation laws
Learning WENO for entropy stable schemes to solve conservation laws
Philip Charles
Deep Ray
263
1
0
21 Mar 2024
Variational Bayes image restoration with compressive autoencoders
Variational Bayes image restoration with compressive autoencodersIEEE Transactions on Image Processing (IEEE TIP), 2023
Maud Biquard
Marie Chabert
Florence Genin
Christophe Latry
Thomas Oberlin
476
4
0
29 Nov 2023
Goal-oriented Uncertainty Quantification for Inverse Problems via
  Variational Encoder-Decoder Networks
Goal-oriented Uncertainty Quantification for Inverse Problems via Variational Encoder-Decoder Networks
B. Afkham
Julianne Chung
Matthias Chung
225
1
0
17 Apr 2023
An autoencoder compression approach for accelerating large-scale inverse
  problems
An autoencoder compression approach for accelerating large-scale inverse problemsInverse Problems (IP), 2023
J. Wittmer
Jacob Badger
H. Sundar
T. Bui-Thanh
AI4CE
168
2
0
10 Apr 2023
Dimension-reduced KRnet maps for high-dimensional Bayesian inverse
  problems
Dimension-reduced KRnet maps for high-dimensional Bayesian inverse problems
Yani Feng
Keju Tang
Xiaoliang Wan
Qifeng Liao
172
2
0
01 Mar 2023
Quantifying uncertainty for deep learning based forecasting and
  flow-reconstruction using neural architecture search ensembles
Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles
R. Maulik
Romain Egele
Krishnan Raghavan
Dali Wang
UQCVAI4TSAI4CE
192
8
0
20 Feb 2023
Randomized Maximum Likelihood via High-Dimensional Bayesian Optimization
Randomized Maximum Likelihood via High-Dimensional Bayesian OptimizationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Valentin Breaz
Richard D. Wilkinson
194
0
0
17 Apr 2022
The efficacy and generalizability of conditional GANs for posterior
  inference in physics-based inverse problems
The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problemsNumerical Algebra, Control and Optimization (NACO), 2022
Deep Ray
Harisankar Ramaswamy
Dhruv V. Patel
Assad A. Oberai
CMLAI4CE
232
22
0
15 Feb 2022
Solution of Physics-based Bayesian Inverse Problems with Deep Generative
  Priors
Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors
Dhruv V. Patel
Deep Ray
Assad A. Oberai
AI4CE
193
59
0
06 Jul 2021
1