Learning convex regularizers satisfying the variational source condition for inverse problems

24 October 2021

Papers citing "Learning convex regularizers satisfying the variational source condition for inverse problems"

6 / 6 papers shown

Title
Invertible ResNets for Inverse Imaging Problems: Competitive Performance with Provable Regularization Properties Clemens Arndt Judith Nickel 31 0 0 20 Sep 2024
An Over Complete Deep Learning Method for Inverse Problems Moshe Eliasof Eldad Haber Eran Treister 19 3 0 07 Feb 2024
Learned Regularization for Inverse Problems: Insights from a Spectral Model Martin Burger Samira Kabri 30 0 0 15 Dec 2023
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms Alexis Goujon Sebastian Neumayer M. Unser 41 23 0 21 Aug 2023
A Neural-Network-Based Convex Regularizer for Inverse Problems Alexis Goujon Sebastian Neumayer Pakshal Bohra Stanislas Ducotterd M. Unser 16 26 0 22 Nov 2022
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 187 599 0 22 Sep 2016