Learning Weakly Convex Regularizers for Convergent Image-Reconstruction
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Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms

SIAM Journal of Imaging Sciences (JSIS), 2023

21 August 2023

Sebastian Neumayer

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Papers citing "Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms"

16 / 16 papers shown

Title
Bilevel Learning via Inexact Stochastic Gradient Descent Mohammad Salehi Subhadip Mukherjee Lindon Roberts Matthias Joachim Ehrhardt 73 0 0 10 Nov 2025
Learning Regularization Functionals for Inverse Problems: A Comparative Study J. Hertrich Matthias Joachim Ehrhardt Alexander Denker Stanislas Ducotterd Zhenghan Fang ... German Shâma Wache Martin Zach Yasi Zhang Matthias Joachim Ehrhardt Sebastian Neumayer 108 3 0 02 Oct 2025
FLOWER: A Flow-Matching Solver for Inverse Problems Mehrsa Pourya Bassam El Rawas M. Unser 56 1 0 30 Sep 2025
VibrantLeaves: A principled parametric image generator for training deep restoration models Raphaël Achddou Y. Gousseau Saïd Ladjal Sabine Süsstrunk 191 1 0 14 Apr 2025
Universal Architectures for the Learning of Polyhedral Norms and Convex Regularizers M. Unser Stanislas Ducotterd 226 0 0 24 Mar 2025
MAP Image Recovery with Guarantees using Locally Convex Multi-Scale Energy (LC-MUSE) ModelIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 Jyothi Rikhab Chand M. Jacob 111 0 0 05 Feb 2025
Gradient NetworksIEEE Transactions on Signal Processing (IEEE TSP), 2024 Shreyas Chaudhari Srinivasa Pranav J. M. F. Moura 255 0 0 28 Jan 2025
The Star Geometry of Critic-Based Regularizer LearningNeural Information Processing Systems (NeurIPS), 2024 Oscar Leong Eliza O'Reilly Yong Sheng Soh AAML 276 2 0 29 Aug 2024
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like ArchitecturesApplied and Computational Harmonic Analysis (ACHA), 2024 Michael Unser Alexis Goujon Stanislas Ducotterd 229 2 0 23 Aug 2024
Iteratively Refined Image Reconstruction with Learned Attentive Regularizers Mehrsa Pourya Sebastian Neumayer Michael Unser 269 2 0 09 Jul 2024
Stability of Data-Dependent Ridge-Regularization for Inverse Problems Sebastian Neumayer Fabian Altekrüger 303 2 0 18 Jun 2024
Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation Zakhar Shumaylov Jeremy Budd Subhadip Mukherjee Carola-Bibiane Schönlieb 300 17 0 01 Feb 2024
What's in a Prior? Learned Proximal Networks for Inverse ProblemsInternational Conference on Learning Representations (ICLR), 2023 Zhenghan Fang Sam Buchanan Jeremias Sulam 288 22 0 22 Oct 2023
Provably Convergent Data-Driven Convex-Nonconvex Regularization Zakhar Shumaylov Jeremy Budd Subhadip Mukherjee Carola-Bibiane Schönlieb 251 7 0 09 Oct 2023
Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and OptimizationIEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2023 Zhangyu Chang Seyyedali Hosseinalipour M. Chiang Christopher G. Brinton 181 6 0 22 May 2023
Provably Convergent Plug-and-Play Quasi-Newton MethodsSIAM Journal of Imaging Sciences (JSIS), 2023 Hongwei Tan Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb 252 26 0 09 Mar 2023