Bilevel parameter learning for higher-order total variation
regularisation models

Bilevel parameter learning for higher-order total variation regularisation models

28 August 2015

C. -B. Schönlieb

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Papers citing "Bilevel parameter learning for higher-order total variation regularisation models"

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Title
On Optimal Regularization Parameters via Bilevel Learning Matthias Joachim Ehrhardt S. Gazzola S. J. Scott 97 4 0 28 May 2023
Learning Sparsity-Promoting Regularizers using Bilevel Optimization Avrajit Ghosh Michael T. McCann Madeline Mitchell S. Ravishankar 71 5 0 18 Jul 2022
Learning Regularization Parameters of Inverse Problems via Deep Neural Networks B. Afkham Julianne Chung Matthias Chung 58 49 0 14 Apr 2021
A General Descent Aggregation Framework for Gradient-based Bi-level Optimization Risheng Liu Pan Mu Xiaoming Yuan Shangzhi Zeng Jin Zhang AI4CE 131 36 0 16 Feb 2021
Consistency analysis of bilevel data-driven learning in inverse problems Neil K. Chada C. Schillings Xin T. Tong Simon Weissmann 67 8 0 06 Jul 2020
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton Risheng Liu Pan Mu Xiaoming Yuan Shangzhi Zeng Jin Zhang 73 131 0 07 Jun 2020
Parametric Majorization for Data-Driven Energy Minimization Methods Jonas Geiping Michael Moeller 129 4 0 17 Aug 2019
Learning the Sampling Pattern for MRI Ferdia Sherry Martin Benning J. D. L. Reyes M. Graves G. Maierhofer Guy B. Williams Carola-Bibiane Schönlieb Matthias Joachim Ehrhardt MedIm 126 71 0 20 Jun 2019
A total variation based regularizer promoting piecewise-Lipschitz reconstructions Martin Burger Yury Korolev Carola-Bibiane Schönlieb Christiane Stollenwerk 37 5 0 12 Mar 2019
Solving ill-posed inverse problems using iterative deep neural networks J. Adler Ozan Oktem 113 617 0 13 Apr 2017
Acceleration of the PDHGM on strongly convex subspaces T. Valkonen Thomas Pock 30 7 0 20 Nov 2015
Diffusion tensor imaging with deterministic error bounds A. Gorokh Yury Korolev T. Valkonen 22 1 0 07 Sep 2015
Bilevel approaches for learning of variational imaging models L. Calatroni C. Chung J. D. L. Reyes Carola-Bibiane Schönlieb T. Valkonen 148 92 0 08 May 2015
The structure of optimal parameters for image restoration problems J. D. L. Reyes Carola-Bibiane Schönlieb T. Valkonen 88 53 0 08 May 2015