Stabilizing Invertible Neural Networks Using Mixture Models

7 September 2020

Papers citing "Stabilizing Invertible Neural Networks Using Mixture Models"

14 / 14 papers shown

Title
Stable Training of Normalizing Flows for High-dimensional Variational Inference Daniel Andrade BDL TPM 58 1 0 26 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 37 6 0 27 Dec 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 34 7 0 04 Aug 2023
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Fabian Altekrüger Paul Hagemann Gabriele Steidl TPM 37 9 0 28 Mar 2023
Proximal Residual Flows for Bayesian Inverse Problems J. Hertrich BDL TPM 52 4 0 30 Nov 2022
A Neural-Network-Based Convex Regularizer for Inverse Problems Alexis Goujon Sebastian Neumayer Pakshal Bohra Stanislas Ducotterd M. Unser 41 26 0 22 Nov 2022
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions Stanislas Ducotterd Alexis Goujon Pakshal Bohra Dimitris Perdios Sebastian Neumayer M. Unser 40 12 0 28 Oct 2022
Stability of Image-Reconstruction Algorithms Pol del Aguila Pla Sebastian Neumayer M. Unser 53 10 0 14 Jun 2022
Approximation of Lipschitz Functions using Deep Spline Neural Networks Sebastian Neumayer Alexis Goujon Pakshal Bohra M. Unser 50 16 0 13 Apr 2022
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 32 24 0 24 Nov 2021
Resampling Base Distributions of Normalizing Flows Vincent Stimper Bernhard Schölkopf José Miguel Hernández-Lobato BDL 35 32 0 29 Oct 2021
An Introduction to Deep Generative Modeling Lars Ruthotto E. Haber AI4CE 51 223 0 09 Mar 2021
Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence A. Andrle N. Farchmin Paul Hagemann Sebastian Heidenreich V. Soltwisch Gabriele Steidl 77 16 0 05 Feb 2021
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms J. Hertrich Sebastian Neumayer Gabriele Steidl 27 57 0 04 Nov 2020