Invertible Neural Networks versus MCMC for Posterior Reconstruction in
Grazing Incidence X-Ray Fluorescence

Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence

5 February 2021

Sebastian Heidenreich

Gabriele Steidl

Papers citing "Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence"

12 / 12 papers shown

Title
Accelerated Stein Variational Gradient Flow Viktor Stein Wuchen Li 44 0 0 30 Mar 2025
Importance Corrected Neural JKO Sampling Johannes Hertrich Robert Gruhlke 26 1 0 29 Jul 2024
Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces Viktor Stein Sebastian Neumayer Gabriele Steidl Nicolaj Rux 48 9 0 07 Feb 2024
Mixed Noise and Posterior Estimation with Conditional DeepGEM Paul Hagemann J. Hertrich Maren Casfor Sebastian Heidenreich Gabriele Steidl 14 0 0 05 Feb 2024
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 19 5 0 27 Dec 2023
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Fabian Altekrüger Paul Hagemann Gabriele Steidl TPM 16 9 0 28 Mar 2023
Posterior Estimation Using Deep Learning: A Simulation Study of Compartmental Modeling in Dynamic PET Xiaofeng Liu Thibault Marin Tiss Amal Jonghye Woo G. El Fakhri J. Ouyang MedIm 6 2 0 17 Mar 2023
Reliable amortized variational inference with physics-based latent distribution correction Ali Siahkoohi G. Rizzuti Rafael Orozco Felix J. Herrmann 28 24 0 24 Jul 2022
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution Fabian Altekrüger J. Hertrich 17 15 0 20 Jan 2022
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 12 22 0 24 Nov 2021
Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint Paul Hagemann J. Hertrich Gabriele Steidl BDL 13 36 0 23 Sep 2021
Preconditioned training of normalizing flows for variational inference in inverse problems Ali Siahkoohi G. Rizzuti M. Louboutin Philipp A. Witte Felix J. Herrmann 59 31 0 11 Jan 2021