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Learning Sparsity-Promoting Regularizers using Bilevel Optimization

18 July 2022

Papers citing "Learning Sparsity-Promoting Regularizers using Bilevel Optimization"

20 / 20 papers shown

Title
ADMM-DAD net: a deep unfolding network for analysis compressed sensing Vicky Kouni Georgios Paraskevopoulos Holger Rauhut G. C. Alexandropoulos 75 19 0 13 Oct 2021
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition Jiaming Liu M. Salman Asif B. Wohlberg Ulugbek S. Kamilov 85 42 0 07 Jun 2021
Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond Zhishen Huang Siqi Ye Michael T. McCann S. Ravishankar MedIm 46 10 0 26 Mar 2021
Deep Equilibrium Architectures for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett 80 181 0 16 Feb 2021
The Representation Power of Neural Networks: Breaking the Curse of Dimensionality Moise Blanchard M. A. Bennouna 42 6 0 10 Dec 2020
On Correctness of Automatic Differentiation for Non-Differentiable Functions Wonyeol Lee Hangyeol Yu Xavier Rival Hongseok Yang 55 41 0 12 Jun 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 102 1,022 0 22 Dec 2019
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning S. Ravishankar J. C. Ye Jeffrey A. Fessler 101 244 0 04 Apr 2019
A Review of automatic differentiation and its efficient implementation C. Margossian 58 318 0 12 Nov 2018
Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium G. Buzzard Stanley H. Chan S. Sreehari Charles A. Bouman 79 186 0 24 May 2017
Wavelet Domain Residual Network (WavResNet) for Low-Dose X-ray CT Reconstruction Eunhee Kang Junhong Min J. C. Ye MedIm OOD 61 61 0 04 Mar 2017
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 71 2,122 0 11 Nov 2016
The Little Engine that Could: Regularization by Denoising (RED) Yaniv Romano Michael Elad P. Milanfar DiffM 93 804 0 09 Nov 2016
Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications Stanley H. Chan Xiran Wang Omar A. Elgendy 72 767 0 05 May 2016
Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing S. Ravishankar Y. Bresler 59 63 0 04 Nov 2015
Bilevel parameter learning for higher-order total variation regularisation models J. D. L. Reyes C. -B. Schönlieb T. Valkonen 38 115 0 28 Aug 2015
$Learning $\ell_1$-based analysis and synthesis sparsity priors using bi-level optimization$ Learning $\ell_1$ -based analysis and synthesis sparsity priors using bi-level optimization Yunjin Chen Thomas Pock Horst Bischof 83 39 0 16 Jan 2014
Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs Yunjin Chen René Ranftl Thomas Pock 79 114 0 13 Jan 2014
Task-Driven Dictionary Learning Julien Mairal Francis R. Bach Jean Ponce 99 898 0 27 Sep 2010
The solution path of the generalized lasso Robert Tibshirani Jonathan E. Taylor 226 866 0 11 May 2010