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Lower Bounds for Compressed Sensing with Generative Models

Lower Bounds for Compressed Sensing with Generative Models

6 December 2019
Akshay Kamath
Sushrut Karmalkar
Eric Price
    GAN
ArXiv (abs)PDFHTML

Papers citing "Lower Bounds for Compressed Sensing with Generative Models"

13 / 13 papers shown
Title
Chasing Better Deep Image Priors between Over- and
  Under-parameterization
Chasing Better Deep Image Priors between Over- and Under-parameterization
Qiming Wu
Xiaohan Chen
Yi Ding
Zhangyang Wang
107
1
0
31 Oct 2024
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
Noam Elata
T. Michaeli
Michael Elad
DiffMMedIm
60
9
0
11 Jul 2024
Source Localization of Graph Diffusion via Variational Autoencoders for
  Graph Inverse Problems
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems
Chen Ling
Junji Jiang
Junxiang Wang
Liang Zhao
DiffM
90
47
0
24 Jun 2022
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for
  Inverse Problems
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
Robust Compressed Sensing MRI with Deep Generative Priors
Robust Compressed Sensing MRI with Deep Generative Priors
A. Jalal
Marius Arvinte
Giannis Daras
Eric Price
A. Dimakis
Jonathan I. Tamir
MedIm
104
339
0
03 Aug 2021
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and
  Generative Priors
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
Zhaoqiang Liu
Subhro Ghosh
Jonathan Scarlett
59
18
0
29 Jun 2021
Instance-Optimal Compressed Sensing via Posterior Sampling
Instance-Optimal Compressed Sensing via Posterior Sampling
A. Jalal
Sushrut Karmalkar
A. Dimakis
Eric Price
79
52
0
21 Jun 2021
Subspace Embeddings Under Nonlinear Transformations
Subspace Embeddings Under Nonlinear Transformations
Aarshvi Gajjar
Cameron Musco
57
5
0
05 Oct 2020
The Generalized Lasso with Nonlinear Observations and Generative Priors
The Generalized Lasso with Nonlinear Observations and Generative Priors
Zhaoqiang Liu
Jonathan Scarlett
72
28
0
22 Jun 2020
Robust Compressed Sensing using Generative Models
Robust Compressed Sensing using Generative Models
A. Jalal
Liu Liu
A. Dimakis
Constantine Caramanis
96
41
0
16 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging
Deep Learning Techniques for Inverse Problems in Imaging
Greg Ongie
A. Jalal
Christopher A. Metzler
Richard G. Baraniuk
A. Dimakis
Rebecca Willett
128
537
0
12 May 2020
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable
  Embeddings with Generative Priors
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
Information-Theoretic Lower Bounds for Compressive Sensing with
  Generative Models
Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models
Zhaoqiang Liu
Jonathan Scarlett
110
41
0
28 Aug 2019
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