Learned D-AMP: Principled Neural Network based Compressive Image Recovery

21 April 2017

Richard G. Baraniuk

Papers citing "Learned D-AMP: Principled Neural Network based Compressive Image Recovery"

24 / 24 papers shown

Title
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems Eric Chen Xi Chen A. Maleki S. Jalali 90 0 0 08 Jan 2025
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 134 9,509 0 31 Mar 2017
One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models Jen-Hao Rick Chang Chun-Liang Li Barnabás Póczós B. Kumar Aswin C. Sankaranarayanan 43 347 0 29 Mar 2017
DR2-Net: Deep Residual Reconstruction Network for Image Compressive Sensing Hantao Yao Feng Dai Dongming Zhang Yike Ma Shiliang Zhang Yongdong Zhang Qi Tian 49 308 0 19 Feb 2017
A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines Eric W. Tramel Marylou Gabrié Andre Manoel F. Caltagirone Florent Krzakala AI4CE 46 32 0 10 Feb 2017
Learning to Invert: Signal Recovery via Deep Convolutional Networks Ali Mousavi Richard G. Baraniuk 104 286 0 14 Jan 2017
Compressive Image Recovery Using Recurrent Generative Model Akshat Dave Anil Kumar Vadathya Kaushik Mitra GAN 39 21 0 13 Dec 2016
Amortised MAP Inference for Image Super-resolution C. Sønderby Jose Caballero Lucas Theis Wenzhe Shi Ferenc Huszár 70 435 0 14 Oct 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising Peng Sun W. Zuo Yunjin Chen Deyu Meng Lei Zhang SupR 116 6,962 0 13 Aug 2016
Inferring Sparsity: Compressed Sensing using Generalized Restricted Boltzmann Machines Eric W. Tramel Andre Manoel F. Caltagirone Marylou Gabrié Florent Krzakala 71 21 0 13 Jun 2016
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements K. Kulkarni Suhas Lohit Pavan Turaga Ronan Kerviche A. Ashok AI4TS 3DV 41 67 0 26 Jan 2016
Learning optimal nonlinearities for iterative thresholding algorithms Ulugbek S. Kamilov Hassan Mansour 36 108 0 15 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
A Deep Learning Approach to Structured Signal Recovery Ali Mousavi Ankit B. Patel Richard G. Baraniuk 39 441 0 17 Aug 2015
Generative Image Modeling Using Spatial LSTMs Lucas Theis Matthias Bethge GAN VLM 43 200 0 10 Jun 2015
Approximate Message Passing with Restricted Boltzmann Machine Priors Eric W. Tramel Angélique Dremeau Florent Krzakala 44 34 0 23 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 328 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 842 149,474 0 22 Dec 2014
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 260 2,947 0 15 Dec 2014
Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures J. Hershey Jonathan Le Roux F. Weninger BDL 79 430 0 09 Sep 2014
From Denoising to Compressed Sensing Christopher A. Metzler A. Maleki Richard G. Baraniuk 50 616 0 16 Jun 2014
$Phase Retrieval from Coded Diffraction Patterns$ Phase Retrieval from Coded Diffraction Patterns Emmanuel Candes Xiaodong Li Mahdi Soltanolkotabi 47 375 0 11 Oct 2013
What Regularized Auto-Encoders Learn from the Data Generating Distribution Guillaume Alain Yoshua Bengio OOD DRL 49 500 0 18 Nov 2012
Message Passing Algorithms for Compressed Sensing D. Donoho A. Maleki Andrea Montanari 98 2,352 0 21 Jul 2009