Robust Compressed Sensing using Generative Models

16 June 2020

A. Jalal

Liu Liu

A. Dimakis

Constantine Caramanis

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Papers citing "Robust Compressed Sensing using Generative Models"

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Title
Latent Space Imaging Matheus Souza Yidan Zheng Kaizhang Kang Yogeshwar Nath Mishra Qiang Fu Wolfgang Heidrich 81 0 0 09 Jul 2024
Outlier Detection Using Generative Models with Theoretical Performance Guarantees Jirong Yi A. D. Le Tianming Wang Xiaodong Wu Weiyu Xu 69 3 0 16 Oct 2023
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 42 526 0 12 May 2020
Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation Reinhard Heckel Mahdi Soltanolkotabi 49 81 0 07 May 2020
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors Zhaoqiang Liu S. Gomes Avtansh Tiwari Jonathan Scarlett 57 28 0 05 Feb 2020
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking Rushil Anirudh Jayaraman J. Thiagarajan B. Kailkhura T. Bremer AAML 33 43 0 16 Dec 2019
Lower Bounds for Compressed Sensing with Generative Models Akshay Kamath Sushrut Karmalkar Eric Price GAN 45 19 0 06 Dec 2019
Exact asymptotics for phase retrieval and compressed sensing with random generative priors Benjamin Aubin Bruno Loureiro Antoine Baker Florent Krzakala Lenka Zdeborová 42 36 0 04 Dec 2019
Inference with Deep Generative Priors in High Dimensions Jillian R. Fisher Mojtaba Sahraee-Ardakan S. Rangan Zaid Harchaoui Yejin Choi BDL 29 46 0 08 Nov 2019
Learning-Based Low-Rank Approximations Piotr Indyk A. Vakilian Yang Yuan 58 67 0 30 Oct 2019
Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models Zhaoqiang Liu Jonathan Scarlett 61 40 0 28 Aug 2019
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Shuang Qiu Xiaohan Wei Zhuoran Yang 52 25 0 14 Aug 2019
Surfing: Iterative optimization over incrementally trained deep networks Ganlin Song Z. Fan John D. Lafferty 30 20 0 19 Jul 2019
Fast and Provable ADMM for Learning with Generative Priors Fabian Latorre Gómez Armin Eftekhari Volkan Cevher GAN 47 43 0 07 Jul 2019
Inverting Deep Generative models, One layer at a time Qi Lei A. Jalal Inderjit S. Dhillon A. Dimakis 23 49 0 18 Jun 2019
Global Guarantees for Blind Demodulation with Generative Priors Paul Hand Babhru Joshi 77 33 0 29 May 2019
Invertible generative models for inverse problems: mitigating representation error and dataset bias Muhammad Asim Max Daniels Oscar Leong Ali Ahmed Paul Hand 96 149 0 28 May 2019
$Outlier-robust estimation of a sparse linear model using $\ell_1$-penalized Huber's $M$-estimator$ Outlier-robust estimation of a sparse linear model using $\ell_1$ -penalized Huber's $M$ -estimator A. Dalalyan Philip Thompson 42 67 0 12 Apr 2019
Algorithmic Aspects of Inverse Problems Using Generative Models Chinmay Hegde GAN 42 21 0 08 Oct 2018
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks Reinhard Heckel Paul Hand 63 284 0 02 Oct 2018
Phase Retrieval Under a Generative Prior Paul Hand Oscar Leong V. Voroninski 41 189 0 11 Jul 2018
Modeling Sparse Deviations for Compressed Sensing using Generative Models Manik Dhar Aditya Grover Stefano Ermon 34 79 0 04 Jul 2018
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior L. Mosser O. Dubrule M. Blunt GAN AI4CE 91 207 0 10 Jun 2018
High Dimensional Robust Sparse Regression Liu Liu Yanyao Shen Tianyang Li Constantine Caramanis 40 71 0 29 May 2018
Sever: A Robust Meta-Algorithm for Stochastic Optimization Ilias Diakonikolas Gautam Kamath D. Kane Jerry Li Jacob Steinhardt Alistair Stewart 51 288 0 07 Mar 2018
Robust Estimation via Robust Gradient Estimation Adarsh Prasad A. Suggala Sivaraman Balakrishnan Pradeep Ravikumar 50 221 0 19 Feb 2018
Blind Image Deconvolution using Deep Generative Priors Muhammad Asim Fahad Shamshad Ali Ahmed 52 95 0 12 Feb 2018
Task-Aware Compressed Sensing with Generative Adversarial Networks Maya Kabkab Pouya Samangouei Rama Chellappa GAN 54 78 0 05 Feb 2018
Robust machine learning by median-of-means : theory and practice Guillaume Lecué M. Lerasle OOD 110 155 0 28 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 100 7,318 0 27 Oct 2017
Inference in Deep Networks in High Dimensions A. Fletcher S. Rangan BDL 93 69 0 20 Jun 2017
YellowFin and the Art of Momentum Tuning Jian Zhang Ioannis Mitliagkas ODL 47 108 0 12 Jun 2017
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk Paul Hand V. Voroninski UQCV 76 138 0 22 May 2017
Learned D-AMP: Principled Neural Network based Compressive Image Recovery Christopher A. Metzler Ali Mousavi Richard G. Baraniuk 45 285 0 21 Apr 2017
Compressed Sensing using Generative Models Ashish Bora A. Jalal Eric Price A. Dimakis 89 804 0 09 Mar 2017
Risk minimization by median-of-means tournaments Gabor Lugosi S. Mendelson 56 131 0 02 Aug 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 228 13,968 0 19 Nov 2015
On aggregation for heavy-tailed classes S. Mendelson 67 28 0 25 Feb 2015
Statistical consistency and asymptotic normality for high-dimensional robust M-estimators Po-Ling Loh 67 194 0 01 Jan 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 806 149,474 0 22 Dec 2014
Convex recovery of a structured signal from independent random linear measurements J. Tropp 52 176 0 05 May 2014
Learning without Concentration S. Mendelson 157 333 0 01 Jan 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 358 16,962 0 20 Dec 2013
Geometric median and robust estimation in Banach spaces Stanislav Minsker 102 312 0 06 Aug 2013
Loss minimization and parameter estimation with heavy tails Daniel J. Hsu Sivan Sabato 69 188 0 07 Jul 2013
Optimization with Sparsity-Inducing Penalties Francis R. Bach Rodolphe Jenatton Julien Mairal G. Obozinski 157 1,058 0 03 Aug 2011
Fast global convergence of gradient methods for high-dimensional statistical recovery Alekh Agarwal S. Negahban Martin J. Wainwright 86 242 0 25 Apr 2011
Compressed Sensing and Matrix Completion with Constant Proportion of Corruptions Xiaodong Li 97 179 0 06 Apr 2011
Exact recoverability from dense corrupted observations via $L_1$ minimization Nam H. Nguyen T. Tran 69 117 0 07 Feb 2011
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 271 1,377 0 13 Oct 2010