Convolutional Proximal Neural Networks and Plug-and-Play Algorithms

4 November 2020

Papers citing "Convolutional Proximal Neural Networks and Plug-and-Play Algorithms"

13 / 13 papers shown

Title
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching Ségolène Martin Anne Gagneux Paul Hagemann Gabriele Steidl 42 9 0 03 Oct 2024
Parseval Convolution Operators and Neural Networks Michael Unser Stanislas Ducotterd 23 3 0 19 Aug 2024
How Much Training Data is Memorized in Overparameterized Autoencoders? An Inverse Problem Perspective on Memorization Evaluation Koren Abitbul Yehuda Dar TDI 20 2 0 04 Oct 2023
Proximal Residual Flows for Bayesian Inverse Problems J. Hertrich BDL TPM 30 4 0 30 Nov 2022
A Neural-Network-Based Convex Regularizer for Inverse Problems Alexis Goujon Sebastian Neumayer Pakshal Bohra Stanislas Ducotterd M. Unser 13 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 35 12 0 28 Oct 2022
Dynamical systems' based neural networks E. Celledoni Davide Murari B. Owren Carola-Bibiane Schönlieb Ferdia Sherry OOD 40 10 0 05 Oct 2022
Approximation of Lipschitz Functions using Deep Spline Neural Networks Sebastian Neumayer Alexis Goujon Pakshal Bohra M. Unser 24 15 0 13 Apr 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
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution Fabian Altekrüger J. Hertrich 25 15 0 20 Jan 2022
Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks Ekkehard Schnoor Arash Behboodi Holger Rauhut 16 13 0 08 Dec 2021
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 24 22 0 24 Nov 2021
Gradient Step Denoiser for convergent Plug-and-Play Samuel Hurault Arthur Leclaire Nicolas Papadakis 27 93 0 07 Oct 2021