Learning optimal nonlinearities for iterative thresholding algorithms

15 December 2015

Ulugbek S. Kamilov

Papers citing "Learning optimal nonlinearities for iterative thresholding algorithms"

31 / 31 papers shown

Title
Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks Ekkehard Schnoor Arash Behboodi Holger Rauhut 53 14 0 08 Dec 2021
SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees Jiaming Liu Yu Sun Weijie Gan Xiaojian Xu B. Wohlberg Ulugbek S. Kamilov FedML MedIm 93 31 0 22 Jan 2021
Solving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth Wei Chen Bowen Zhang Shimei Jin B. Ai Z. Zhong 56 25 0 29 Oct 2020
mpNet: variable depth unfolded neural network for massive MIMO channel estimation Taha Yassine Luc Le Magoarou 90 27 0 07 Aug 2020
Multi-Scale Deep Compressive Imaging Thuong Nguyen Canh B. Jeon 62 17 0 03 Aug 2020
Solving Phase Retrieval with a Learned Reference Rakib Hyder Zikui Cai M. Salman Asif 63 24 0 29 Jul 2020
Supervised Learning of Sparsity-Promoting Regularizers for Denoising Michael T. McCann S. Ravishankar 47 8 0 09 Jun 2020
Hyperspectral Unmixing Network Inspired by Unfolding an Optimization Problem Chao Zhou 36 0 0 21 May 2020
Theoretical Interpretation of Learned Step Size in Deep-Unfolded Gradient Descent Satoshi Takabe Tadashi Wadayama 51 10 0 15 Jan 2020
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms S. A. Hosseini Burhaneddin Yaman S. Moeller Mingyi Hong Mehmet Akçakaya AI4CE 65 8 0 16 Dec 2019
Learned Conjugate Gradient Descent Network for Massive MIMO Detection Yi Wei Ming-Min Zhao Mingyi Hong Minjian Zhao M. Lei 71 78 0 10 Jun 2019
Tree Search Network for Sparse Regression Kyung-Su Kim Sae-Young Chung 40 1 0 01 Apr 2019
Neumann Networks for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett 78 24 0 13 Jan 2019
Deep Unfolding of a Proximal Interior Point Method for Image Restoration Carla Bertocchi Émilie Chouzenoux M. Corbineau J. Pesquet M. Prato 107 108 0 11 Dec 2018
Rate-Adaptive Neural Networks for Spatial Multiplexers Suhas Lohit Rajhans Singh K. Kulkarni Pavan Turaga 48 17 0 08 Sep 2018
Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging Michael R. Kellman E. Bostan N. Repina Laura Waller 124 125 0 10 Aug 2018
The Global Optimization Geometry of Shallow Linear Neural Networks Zhihui Zhu Daniel Soudry Yonina C. Eldar M. Wakin ODL 82 36 0 13 May 2018
Efficient and accurate inversion of multiple scattering with deep learning Yu Sun Zhihao Xia Ulugbek S. Kamilov 86 126 0 18 Mar 2018
Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery Il Yong Chun Jeffrey A. Fessler 64 70 0 20 Feb 2018
Learning-based Image Reconstruction via Parallel Proximal Algorithm E. Bostan Ulugbek S. Kamilov Laura Waller 54 16 0 29 Jan 2018
Deep Recurrent NMF for Speech Separation by Unfolding Iterative Thresholding Scott Wisdom Thomas Powers J. Pitton L. Atlas 69 21 0 21 Sep 2017
Deep Learning-Guided Image Reconstruction from Incomplete Data B. Kelly Thomas P. Matthews M. Anastasio 68 54 0 02 Sep 2017
DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks Ali Mousavi Gautam Dasarathy Richard G. Baraniuk 133 80 0 11 Jul 2017
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing Jian Zhang Guohao Li 76 37 0 24 Jun 2017
Learning Convex Regularizers for Optimal Bayesian Denoising H. Nguyen E. Bostan M. Unser 58 19 0 16 May 2017
Learned D-AMP: Principled Neural Network based Compressive Image Recovery Christopher A. Metzler Ali Mousavi Richard G. Baraniuk 104 286 0 21 Apr 2017
Interpretable Recurrent Neural Networks Using Sequential Sparse Recovery Scott Wisdom Thomas Powers J. Pitton L. Atlas 100 36 0 22 Nov 2016
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 78 2,130 0 11 Nov 2016
Onsager-corrected deep learning for sparse linear inverse problems M. Borgerding Philip Schniter 76 92 0 20 Jul 2016
Inferring Sparsity: Compressed Sensing using Generalized Restricted Boltzmann Machines Eric W. Tramel Andre Manoel F. Caltagirone Marylou Gabrié Florent Krzakala 107 21 0 13 Jun 2016
Maximal Sparsity with Deep Networks? Bo Xin Yizhou Wang Wen Gao David Wipf 3DPC 86 167 0 05 May 2016