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"

13 / 13 papers shown

Title
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing Junren Chen Jonathan Scarlett Michael K. Ng Zhaoqiang Liu FedML 32 6 0 25 Sep 2023
Generalization analysis of an unfolding network for analysis-based Compressed Sensing Vicky Kouni Yannis Panagakis MLT 26 0 0 09 Mar 2023
MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution Tushar Agarwal Nithin Sugavanam Emre Ertin GAN 19 2 0 30 Nov 2022
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 38 4 0 11 Oct 2022
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems Giannis Daras Y. Dagan A. Dimakis C. Daskalakis BDL 31 15 0 18 Jun 2022
Instance-Optimal Compressed Sensing via Posterior Sampling A. Jalal Sushrut Karmalkar A. Dimakis Eric Price 26 51 0 21 Jun 2021
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis C. Caramanis 21 39 0 16 Jun 2020
Spectral DiffuserCam: lensless snapshot hyperspectral imaging with a spectral filter array Kristina Monakhova Kyrollos Yanny Neerja Aggarwal Laura Waller 11 123 0 15 Jun 2020
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 61 36 0 18 Mar 2020
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors Zhaoqiang Liu S. Gomes Avtansh Tiwari Jonathan Scarlett 29 27 0 05 Feb 2020
Lower Bounds for Compressed Sensing with Generative Models Akshay Kamath Sushrut Karmalkar Eric Price GAN 12 19 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 27 24 0 14 Aug 2019
Benefits of depth in neural networks Matus Telgarsky 136 602 0 14 Feb 2016