A Deep Learning Approach to Structured Signal Recovery

A Deep Learning Approach to Structured Signal Recovery

17 August 2015

Richard G. Baraniuk

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Papers citing "A Deep Learning Approach to Structured Signal Recovery"

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Title
Onsager-corrected deep learning for sparse linear inverse problems M. Borgerding Philip Schniter 76 92 0 20 Jul 2016
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing Michael Iliadis L. Spinoulas Aggelos K. Katsaggelos 79 76 0 12 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
Sketching and Neural Networks Amit Daniely N. Lazić Y. Singer Kunal Talwar 36 10 0 19 Apr 2016
Deep Fully-Connected Networks for Video Compressive Sensing Michael Iliadis L. Spinoulas Aggelos K. Katsaggelos 108 196 0 16 Mar 2016
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements K. Kulkarni Suhas Lohit Pavan Turaga Ronan Kerviche A. Ashok AI4TS 3DV 77 67 0 26 Jan 2016
Learning optimal nonlinearities for iterative thresholding algorithms Ulugbek S. Kamilov Hassan Mansour 64 109 0 15 Dec 2015
Distributed Compressive Sensing: A Deep Learning Approach Hamid Palangi Rabab Ward Li Deng 47 110 0 20 Aug 2015