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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

22 February 2023
Yingzhi Xia
Qifeng Liao
Jinglai Li
ArXivPDFHTML

Papers citing "VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems"

2 / 2 papers shown
Title
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
A. Vadeboncoeur
O. Deniz Akyildiz
Ieva Kazlauskaite
Mark Girolami
PINN
58
0
0
10 Sep 2024
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
16
2
0
01 Mar 2023
1