Variational Bayesian Approximation of Inverse Problems using Sparse
Precision Matrices

Variational Bayesian Approximation of Inverse Problems using Sparse Precision Matrices

22 October 2021

Ieva Kazlauskaite

Papers citing "Variational Bayesian Approximation of Inverse Problems using Sparse Precision Matrices"

9 / 9 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 58 0 0 10 Sep 2024
Weak neural variational inference for solving Bayesian inverse problems without forward models: applications in elastography Vincent C. Scholz Yaohua Zang P. Koutsourelakis 34 2 0 30 Jul 2024
Variational Bayesian surrogate modelling with application to robust design optimisation Thomas A. Archbold Ieva Kazlauskaite F. Cirak 20 1 0 23 Apr 2024
Variational Gaussian Processes For Linear Inverse Problems Thibault Randrianarisoa Botond Szabó 26 3 0 01 Nov 2023
Stochastic PDE representation of random fields for large-scale Gaussian process regression and statistical finite element analysis Kim Jie Koh F. Cirak AI4CE 22 9 0 23 May 2023
VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems Yingzhi Xia Qifeng Liao Jinglai Li 13 2 0 22 Feb 2023
Fully probabilistic deep models for forward and inverse problems in parametric PDEs A. Vadeboncoeur Ömer Deniz Akyildiz Ieva Kazlauskaite Mark Girolami F. Cirak AI4CE 15 17 0 09 Aug 2022
A Variational Inference Framework for Inverse Problems Luca Maestrini R. Aykroyd M. Wand 11 6 0 10 Mar 2021
Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem M. Giordano Richard Nickl 26 57 0 16 Oct 2019