Solution of Physics-based Bayesian Inverse Problems with Deep Generative
Priors

Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors

6 July 2021

Assad A. Oberai

Papers citing "Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors"

15 / 15 papers shown

Title
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling Alex Glyn-Davies A. Vadeboncoeur O. Deniz Akyildiz Ieva Kazlauskaite Mark Girolami PINN 70 0 0 10 Sep 2024
Empowering Bayesian Neural Networks with Functional Priors through Anchored Ensembling for Mechanics Surrogate Modeling Applications Javad Ghorbanian Nicholas Casaprima Audrey Olivier 28 0 0 08 Sep 2024
Conditional score-based diffusion models for solving inverse problems in mechanics Agnimitra Dasgupta Harisankar Ramaswamy Javier Murgoitio-Esandi Ken Foo Runze Li Qifa Zhou Brendan Kennedy Assad A. Oberai DiffM MedIm 45 2 0 19 Jun 2024
Sharp detection of low-dimensional structure in probability measures via dimensional logarithmic Sobolev inequalities Matthew T.C. Li Tiangang Cui Fengyi Li Youssef Marzouk O. Zahm 26 4 0 18 Jun 2024
Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey Lei Li J. Camps Blanca Rodriguez Vicente Grau SyDa 38 2 0 17 Jun 2024
Multi-fidelity Hamiltonian Monte Carlo Dhruv V. Patel Jonghyun Lee Matthew W. Farthing P. Kitanidis Eric F. Darve 45 0 0 08 May 2024
Learning WENO for entropy stable schemes to solve conservation laws Philip Charles Deep Ray 28 1 0 21 Mar 2024
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler Jiayu Qian Yuanyuan Liu Jingya Yang Qingping Zhou 23 0 0 24 Oct 2023
Learning end-to-end inversion of circular Radon transforms in the partial radial setup Deep Ray Souvik Roy 16 0 0 27 Aug 2023
Solution of physics-based inverse problems using conditional generative adversarial networks with full gradient penalty Deep Ray Javier Murgoitio-Esandi Agnimitra Dasgupta Assad A. Oberai GAN 34 13 0 08 Jun 2023
Bayesian Posterior Perturbation Analysis with Integral Probability Metrics A. Garbuno-Iñigo T. Helin Franca Hoffmann Bamdad Hosseini 23 9 0 02 Mar 2023
Dimension-reduced KRnet maps for high-dimensional Bayesian inverse problems Yani Feng Keju Tang Xiaoliang Wan Qifeng Liao 19 2 0 01 Mar 2023
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 and Computational Physics (Lecture Notes) Deep Ray Orazio Pinti Assad A. Oberai PINN AI4CE 21 7 0 03 Jan 2023
The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems Deep Ray Harisankar Ramaswamy Dhruv V. Patel Assad A. Oberai CML AI4CE 13 21 0 15 Feb 2022