v1v2v3v4 (latest)

Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint

23 September 2021

Papers citing "Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint"

25 / 25 papers shown

Title
A Mathematical Explanation of Transformers for Large Language Models and GPTs X. Tai Hao Liu Lingfeng Li Raymond H. F. Chan AI4CE 102 1 0 05 Oct 2025
FLOWER: A Flow-Matching Solver for Inverse Problems Mehrsa Pourya Bassam El Rawas M. Unser 56 1 0 30 Sep 2025
An invertible generative model for forward and inverse problems Tristan van Leeuwen Christoph Brune Marcello Carioni GAN TPM 204 0 0 04 Sep 2025
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach Haoxuan Chen Yinuo Ren Martin Renqiang Min Lexing Ying Zachary Izzo DiffM MedIm 305 11 0 04 Jun 2025
On the Relation between Rectified Flows and Optimal Transport Johannes Hertrich Antonin Chambolle Julie Delon OT 280 4 0 26 May 2025
Sampling from Boltzmann densities with physics informed low-rank formatsScale Space and Variational Methods in Computer Vision (SSVM), 2024 Paul Hagemann Janina Enrica Schutte David Sommer Martin Eigel Gabriele Steidl 253 0 0 10 Dec 2024
Importance Corrected Neural JKO Sampling Johannes Hertrich Robert Gruhlke 367 4 0 29 Jul 2024
Stability of Data-Dependent Ridge-Regularization for Inverse Problems Sebastian Neumayer Fabian Altekrüger 303 2 0 18 Jun 2024
Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching Jannis Chemseddine Paul Hagemann Gabriele Steidl Christian Wald 377 22 0 27 Mar 2024
Mixed Noise and Posterior Estimation with Conditional DeepGEM Paul Hagemann J. Hertrich Maren Casfor Sebastian Heidenreich Gabriele Steidl 221 1 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 188 8 0 27 Dec 2023
Y-Diagonal Couplings: Approximating Posteriors with Conditional Wasserstein Distances Jannis Chemseddine Paul Hagemann Christian Wald 278 3 0 20 Oct 2023
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance KernelInternational Conference on Learning Representations (ICLR), 2023 Paul Hagemann J. Hertrich Fabian Altekrüger Robert Beinert Jannis Chemseddine Gabriele Steidl 327 28 0 04 Oct 2023
Learning variational autoencoders via MCMC speed measuresStatistics and computing (Stat. Comput.), 2023 Marcel Hirt Vasileios Kreouzis P. Dellaportas BDL DRL 130 2 0 26 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 183 11 0 04 Aug 2023
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse ProblemsSIAM Journal of Imaging Sciences (JSIS), 2023 Ziruo Cai Junqi Tang Subhadip Mukherjee Jinglai Li Carola Bibiane Schönlieb Xiaoqun Zhang AI4CE 180 6 0 17 Apr 2023
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Fabian Altekrüger Paul Hagemann Gabriele Steidl TPM 229 10 0 28 Mar 2023
Manifold Learning by Mixture Models of VAEs for Inverse ProblemsJournal of machine learning research (JMLR), 2023 Giovanni S. Alberti J. Hertrich Matteo Santacesaria Silvia Sciutto DRL 312 11 0 27 Mar 2023
Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation Paul Hagemann Sophie Mildenberger Lars Ruthotto Gabriele Steidl Ni Yang DiffM 370 32 0 08 Mar 2023
A theory of continuous generative flow networksInternational Conference on Machine Learning (ICML), 2023 Salem Lahlou T. Deleu Pablo Lemos Dinghuai Zhang Alexandra Volokhova Alex Hernández-García Léna Néhale Ezzine Yoshua Bengio Nikolay Malkin AI4CE 293 108 0 30 Jan 2023
Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz KernelsInternational Conference on Machine Learning (ICML), 2023 Fabian Altekrüger J. Hertrich Gabriele Steidl 309 14 0 27 Jan 2023
Proximal Residual Flows for Bayesian Inverse ProblemsScale Space and Variational Methods in Computer Vision (SSVM), 2022 J. Hertrich BDL TPM 204 4 0 30 Nov 2022
PatchNR: Learning from Very Few Images by Patch Normalizing Flow RegularizationInverse Problems (IP), 2022 Fabian Altekrüger Alexander Denker Paul Hagemann J. Hertrich Peter Maass Gabriele Steidl MedIm 231 30 0 24 May 2022
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for SuperresolutionSIAM Journal of Imaging Sciences (SIAM J. Imaging Sci.), 2022 Fabian Altekrüger J. Hertrich 290 15 0 20 Jan 2022
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 340 27 0 24 Nov 2021