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Constant-Expansion Suffices for Compressed Sensing with Generative
  Priors

Constant-Expansion Suffices for Compressed Sensing with Generative Priors

7 June 2020
C. Daskalakis
Dhruv Rohatgi
Manolis Zampetakis
ArXivPDFHTML

Papers citing "Constant-Expansion Suffices for Compressed Sensing with Generative Priors"

4 / 4 papers shown
Title
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
31
15
0
18 Jun 2022
Signal Recovery with Non-Expansive Generative Network Priors
Signal Recovery with Non-Expansive Generative Network Priors
Jorio Cocola
21
1
0
24 Apr 2022
Regularising Inverse Problems with Generative Machine Learning Models
Regularising Inverse Problems with Generative Machine Learning Models
Margaret Duff
Neill D. F. Campbell
Matthias Joachim Ehrhardt
GAN
MedIm
29
34
0
22 Jul 2021
Globally Injective ReLU Networks
Globally Injective ReLU Networks
Michael Puthawala
K. Kothari
Matti Lassas
Ivan Dokmanić
Maarten V. de Hoop
29
26
0
15 Jun 2020
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