Weakly Convex Regularisers for Inverse Problems: Convergence of Critical
Points and Primal-Dual Optimisation

Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation

1 February 2024

Zakhar Shumaylov

Subhadip Mukherjee

Carola-Bibiane Schönlieb

Papers citing "Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation"

5 / 5 papers shown

Title
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups Zakhar Shumaylov Peter Zaika James Rowbottom Ferdia Sherry Melanie Weber Carola-Bibiane Schönlieb 41 1 0 03 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
Stability of Data-Dependent Ridge-Regularization for Inverse Problems Sebastian Neumayer Fabian Altekrüger 36 1 0 18 Jun 2024
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization Samuel Hurault Arthur Leclaire Nicolas Papadakis 52 72 0 31 Jan 2022
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 178 598 0 22 Sep 2016