Instance-Optimal Compressed Sensing via Posterior Sampling

21 June 2021

Papers citing "Instance-Optimal Compressed Sensing via Posterior Sampling"

42 / 42 papers shown

Title
Removing Structured Noise with Diffusion Models Tristan S.W. Stevens Hans van Gorp F. C. Meral Junseob Shin Jason Yu Jean-Luc Robert Ruud J. G. van Sloun DiffM 114 1 0 20 Jan 2023
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis Constantine Caramanis 85 41 0 16 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 268 1,163 0 16 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 99 535 0 12 May 2020
Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation Reinhard Heckel Mahdi Soltanolkotabi 72 81 0 07 May 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 562 10,591 0 17 Feb 2020
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors Zhaoqiang Liu S. Gomes Avtansh Tiwari Jonathan Scarlett 84 28 0 05 Feb 2020
Lower Bounds for Compressed Sensing with Generative Models Akshay Kamath Sushrut Karmalkar Eric Price GAN 74 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 67 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 53 47 0 08 Nov 2019
Learning-Based Low-Rank Approximations Piotr Indyk A. Vakilian Yang Yuan 84 69 0 30 Oct 2019
Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models Zhaoqiang Liu Jonathan Scarlett 89 41 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 70 25 0 14 Aug 2019
Surfing: Iterative optimization over incrementally trained deep networks Ganlin Song Z. Fan John D. Lafferty 64 20 0 19 Jul 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 260 3,962 0 12 Jul 2019
Fast and Provable ADMM for Learning with Generative Priors Fabian Latorre Gómez Armin Eftekhari Volkan Cevher GAN 92 44 0 07 Jul 2019
Inverting Deep Generative models, One layer at a time Qi Lei A. Jalal Inderjit S. Dhillon A. Dimakis 72 51 0 18 Jun 2019
Global Guarantees for Blind Demodulation with Generative Priors Paul Hand Babhru Joshi 111 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 182 154 0 28 May 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 645 10,605 0 12 Dec 2018
Algorithmic Aspects of Inverse Problems Using Generative Models Chinmay Hegde GAN 78 21 0 08 Oct 2018
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks Reinhard Heckel Paul Hand 113 287 0 02 Oct 2018
Phase Retrieval Under a Generative Prior Paul Hand Oscar Leong V. Voroninski 76 189 0 11 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 308 3,144 0 09 Jul 2018
Modeling Sparse Deviations for Compressed Sensing using Generative Models Manik Dhar Aditya Grover Stefano Ermon 76 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 124 208 0 10 Jun 2018
Blind Image Deconvolution using Deep Generative Priors Muhammad Asim Fahad Shamshad Ali Ahmed 116 96 0 12 Feb 2018
Task-Aware Compressed Sensing with Generative Adversarial Networks Maya Kabkab Pouya Samangouei Rama Chellappa GAN 88 79 0 05 Feb 2018
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 184 7,380 0 27 Oct 2017
Bayesian Compressive Sensing Using Normal Product Priors Zhou Zhou Kaihui Liu Jun Fang 30 19 0 24 Aug 2017
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models Jean Barbier Florent Krzakala N. Macris Léo Miolane Lenka Zdeborová 94 268 0 10 Aug 2017
Inference in Deep Networks in High Dimensions A. Fletcher S. Rangan BDL 132 69 0 20 Jun 2017
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk Paul Hand V. Voroninski UQCV 157 138 0 22 May 2017
Learned D-AMP: Principled Neural Network based Compressive Image Recovery Christopher A. Metzler Ali Mousavi Richard G. Baraniuk 91 286 0 21 Apr 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 78 348 0 29 Mar 2017
Compressed Sensing using Generative Models Ashish Bora A. Jalal Eric Price A. Dimakis 179 813 0 09 Mar 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 192 4,834 0 26 Jan 2017
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 495 2,579 0 25 Jan 2016
Statistical physics of inference: Thresholds and algorithms Lenka Zdeborová Florent Krzakala AI4CE 95 427 0 08 Nov 2015
Optimal Phase Transitions in Compressed Sensing Yihong Wu S. Verdú 86 149 0 29 Nov 2011
How well can we estimate a sparse vector? Emmanuel J. Candès Mark A. Davenport 159 116 0 27 Apr 2011
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 571 2,530 0 07 Jan 2008