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Exact asymptotics for phase retrieval and compressed sensing with random
  generative priors

Exact asymptotics for phase retrieval and compressed sensing with random generative priors

4 December 2019
Benjamin Aubin
Bruno Loureiro
Antoine Baker
Florent Krzakala
Lenka Zdeborová
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Papers citing "Exact asymptotics for phase retrieval and compressed sensing with random generative priors"

7 / 7 papers shown
Title
Misspecified Phase Retrieval with Generative Priors
Misspecified Phase Retrieval with Generative Priors
Zhaoqiang Liu
Xinshao Wang
Jiulong Liu
46
4
0
11 Oct 2022
Subspace clustering in high-dimensions: Phase transitions &
  Statistical-to-Computational gap
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap
Luca Pesce
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
40
1
0
26 May 2022
Bayesian Inference with Nonlinear Generative Models: Comments on Secure
  Learning
Bayesian Inference with Nonlinear Generative Models: Comments on Secure Learning
Ali Bereyhi
Bruno Loureiro
Florent Krzakala
R. Muller
H. Schulz-Baldes
35
2
0
19 Jan 2022
Instance-Optimal Compressed Sensing via Posterior Sampling
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
Robust Compressed Sensing using Generative Models
A. Jalal
Liu Liu
A. Dimakis
C. Caramanis
21
39
0
16 Jun 2020
Phase retrieval in high dimensions: Statistical and computational phase
  transitions
Phase retrieval in high dimensions: Statistical and computational phase transitions
Antoine Maillard
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
26
58
0
09 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
13
521
0
12 May 2020
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