A Neural-Network-Based Convex Regularizer for Inverse Problems

A Neural-Network-Based Convex Regularizer for Inverse Problems

22 November 2022

Sebastian Neumayer

Stanislas Ducotterd

Papers citing "A Neural-Network-Based Convex Regularizer for Inverse Problems"

19 / 19 papers shown

Title
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems Matthias Chung Bas Peters Michael Solomon 34 0 0 10 May 2025
Universal Architectures for the Learning of Polyhedral Norms and Convex Regularizers M. Unser Stanislas Ducotterd 40 0 0 24 Mar 2025
Gradient Networks Shreyas Chaudhari Srinivasa Pranav J. M. F. Moura 55 0 0 28 Jan 2025
A Primal-dual algorithm for image reconstruction with ICNNs Hok Shing Wong Matthias Joachim Ehrhardt Subhadip Mukherjee 26 1 0 16 Oct 2024
The Star Geometry of Critic-Based Regularizer Learning Oscar Leong Eliza O'Reilly Yong Sheng Soh AAML 42 0 0 29 Aug 2024
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures Michael Unser Alexis Goujon Stanislas Ducotterd 29 2 0 23 Aug 2024
Iteratively Refined Image Reconstruction with Learned Attentive Regularizers Mehrsa Pourya Sebastian Neumayer Michael Unser 43 0 0 09 Jul 2024
Stability of Data-Dependent Ridge-Regularization for Inverse Problems Sebastian Neumayer Fabian Altekrüger 39 1 0 18 Jun 2024
Do Bayesian imaging methods report trustworthy probabilities? David Y. W. Thong Charlesquin Kemajou Mbakam Marcelo Pereyra UQCV 31 2 0 13 May 2024
Joint Edge Optimization Deep Unfolding Network for Accelerated MRI Reconstruction Yue Cai Yu Luo Jie Ling Shun Yao 27 2 0 09 May 2024
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 31 0 0 19 Feb 2024
Local monotone operator learning using non-monotone operators: MnM-MOL Maneesh John Jyothi Rikabh Chand Mathews Jacob 16 1 0 01 Dec 2023
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms Alexis Goujon Sebastian Neumayer M. Unser 41 23 0 21 Aug 2023
An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learning Mohammad Salehi Subhadip Mukherjee Lindon Roberts Matthias Joachim Ehrhardt 26 5 0 19 Aug 2023
Accelerated Bayesian imaging by relaxed proximal-point Langevin sampling Teresa Klatzer P. Dobson Y. Altmann Marcelo Pereyra J. Sanz-Serna K. Zygalakis 16 5 0 18 Aug 2023
Manifold Learning by Mixture Models of VAEs for Inverse Problems Giovanni S. Alberti J. Hertrich Matteo Santacesaria Silvia Sciutto DRL 29 6 0 27 Mar 2023
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
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization Samuel Hurault Arthur Leclaire Nicolas Papadakis 58 72 0 31 Jan 2022
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 184 598 0 22 Sep 2016