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
Invertible Diffusion Models for Compressed Sensing Bin Chen Zhenyu Zhang Weiqi Li Chen Zhao Jiwen Yu Shijie Zhao Jie Chen Jian Zhang DiffM 107 5 0 25 Mar 2024
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk Paul Hand V. Voroninski UQCV 152 138 0 22 May 2017
Learning to Invert: Signal Recovery via Deep Convolutional Networks Ali Mousavi Richard G. Baraniuk 149 286 0 14 Jan 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,637 0 01 Sep 2014
From Denoising to Compressed Sensing Christopher A. Metzler A. Maleki Richard G. Baraniuk 127 619 0 16 Jun 2014
Parameterless Optimal Approximate Message Passing Ali Mousavi A. Maleki Richard G. Baraniuk 66 33 0 31 Oct 2013
Near-Optimal Adaptive Compressed Sensing Matthew Malloy Robert D. Nowak 88 164 0 26 Jun 2013
Message Passing Algorithms for Compressed Sensing D. Donoho A. Maleki Andrea Montanari 113 2,366 0 21 Jul 2009