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Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models

28 August 2019

Papers citing "Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models"

31 / 31 papers shown

Title
Learning Single Index Models with Diffusion Priors Anqi Tang Youming Chen Shuchen Xue Zhaoqiang Liu DiffM 81 0 0 27 May 2025
Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models Yang Zheng Wen Li Zhaoqiang Liu 47 0 0 27 May 2025
Chasing Better Deep Image Priors between Over- and Under-parameterization Qiming Wu Xiaohan Chen Yi Ding Zhangyang Wang 105 1 0 31 Oct 2024
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing Junren Chen Jonathan Scarlett Michael K. Ng Zhaoqiang Liu FedML 77 8 0 25 Sep 2023
On the Fine-Grained Hardness of Inverting Generative Models Feyza Duman Keles Chinmay Hegde 70 1 0 11 Sep 2023
Generalization analysis of an unfolding network for analysis-based Compressed Sensing Vicky Kouni Yannis Panagakis MLT 91 0 0 09 Mar 2023
MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution Tushar Agarwal Nithin Sugavanam Emre Ertin GAN 84 2 0 30 Nov 2022
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 79 6 0 11 Oct 2022
Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors Zhaoqiang Liu J. Han 57 7 0 21 Sep 2022
A coherence parameter characterizing generative compressed sensing with Fourier measurements Aaron Berk Simone Brugiapaglia Babhru Joshi Y. Plan Matthew Scott Özgür Yilmaz 97 7 0 19 Jul 2022
Theoretical Perspectives on Deep Learning Methods in Inverse Problems Jonathan Scarlett Reinhard Heckel M. Rodrigues Paul Hand Yonina C. Eldar AI4CE 110 32 0 29 Jun 2022
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems Giannis Daras Y. Dagan A. Dimakis C. Daskalakis BDL 107 15 0 18 Jun 2022
Non-Iterative Recovery from Nonlinear Observations using Generative Models Jiulong Liu Zhaoqiang Liu 103 12 0 31 May 2022
Generative Principal Component Analysis Zhaoqiang Liu Jiulong Liu Subhro Ghosh Jun Han Jonathan Scarlett 75 15 0 18 Mar 2022
Just Least Squares: Binary Compressive Sampling with Low Generative Intrinsic Dimension Yuling Jiao Dingwei Li Min Liu Xiliang Lu Yuanyuan Yang 102 2 0 29 Nov 2021
Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors Zhaoqiang Liu Subhro Ghosh J. Han Jonathan Scarlett 63 8 0 08 Aug 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 102 339 0 03 Aug 2021
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors Zhaoqiang Liu Subhro Ghosh Jonathan Scarlett 57 18 0 29 Jun 2021
Instance-Optimal Compressed Sensing via Posterior Sampling A. Jalal Sushrut Karmalkar A. Dimakis Eric Price 79 52 0 21 Jun 2021
Learning Generative Prior with Latent Space Sparsity Constraints Vinayak Killedar P. Pokala C. Seelamantula 38 3 0 25 May 2021
Provable Compressed Sensing with Generative Priors via Langevin Dynamics Thanh V. Nguyen Gauri Jagatap Chinmay Hegde GAN 79 15 0 25 Feb 2021
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models Giannis Daras Joseph Dean A. Jalal A. Dimakis DRL 230 85 0 15 Feb 2021
Subspace Embeddings Under Nonlinear Transformations Aarshvi Gajjar Cameron Musco 51 5 0 05 Oct 2020
The Generalized Lasso with Nonlinear Observations and Generative Priors Zhaoqiang Liu Jonathan Scarlett 61 28 0 22 Jun 2020
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis Constantine Caramanis 96 41 0 16 Jun 2020
Spectral DiffuserCam: lensless snapshot hyperspectral imaging with a spectral filter array Kristina Monakhova Kyrollos Yanny Neerja Aggarwal Laura Waller 66 127 0 15 Jun 2020
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 132 39 0 18 Mar 2020
Composing Normalizing Flows for Inverse Problems Jay Whang Erik M. Lindgren A. Dimakis TPM 116 51 0 26 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 93 28 0 05 Feb 2020
Lower Bounds for Compressed Sensing with Generative Models Akshay Kamath Sushrut Karmalkar Eric Price GAN 76 20 0 06 Dec 2019
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Shuang Qiu Xiaohan Wei Zhuoran Yang 85 25 0 14 Aug 2019