On the well-posedness of Bayesian inverse problems

26 February 2019

Papers citing "On the well-posedness of Bayesian inverse problems"

11 / 11 papers shown

Title
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction Moritz Piening Fabian Altekrüger J. Hertrich Paul Hagemann Andrea Walther Gabriele Steidl 24 6 0 27 Dec 2023
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Fabian Altekrüger Paul Hagemann Gabriele Steidl TPM 26 9 0 28 Mar 2023
Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures T. Helin Andrew M. Stuart A. Teckentrup K. Zygalakis 34 4 0 09 Feb 2023
Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models Terrence Alsup Tucker Hartland Benjamin Peherstorfer N. Petra 21 1 0 06 Dec 2022
Bayesian inference in Epidemics: linear noise analysis S. Bronstein Stefan Engblom R. Marin 16 0 0 21 Mar 2022
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors Pakshal Bohra Thanh-an Michel Pham Jonathan Dong M. Unser MedIm 21 11 0 18 Mar 2022
Γ-convergence of Onsager-Machlup functionals. Part I: With applications to maximum a posteriori estimation in Bayesian inverse problems Birzhan Ayanbayev I. Klebanov H. Lie T. Sullivan 13 13 0 10 Aug 2021
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie R. Laumont Valentin De Bortoli Andrés Almansa J. Delon Alain Durmus Marcelo Pereyra 24 109 0 08 Mar 2021
Generalized Parallel Tempering on Bayesian Inverse Problems J. Latz Juan P. Madrigal-Cianci F. Nobile Raúl Tempone 19 16 0 06 Mar 2020
On uniform continuity of posterior distributions Emanuele Dolera E. Mainini 9 8 0 23 Sep 2019
Well-posed Bayesian Inverse Problems with Infinitely-Divisible and Heavy-Tailed Prior Measures Bamdad Hosseini 43 34 0 23 Sep 2016