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Generative Principal Component Analysis

Generative Principal Component Analysis

18 March 2022
Zhaoqiang Liu
Jiulong Liu
Subhro Ghosh
Jun Han
Jonathan Scarlett
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Papers citing "Generative Principal Component Analysis"

17 / 17 papers shown
Title
Instance-Optimal Compressed Sensing via Posterior Sampling
Instance-Optimal Compressed Sensing via Posterior Sampling
A. Jalal
Sushrut Karmalkar
A. Dimakis
Eric Price
48
52
0
21 Jun 2021
Robust Compressed Sensing using Generative Models
Robust Compressed Sensing using Generative Models
A. Jalal
Liu Liu
A. Dimakis
Constantine Caramanis
53
39
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
67
531
0
12 May 2020
Exact asymptotics for phase retrieval and compressed sensing with random
  generative priors
Exact asymptotics for phase retrieval and compressed sensing with random generative priors
Benjamin Aubin
Bruno Loureiro
Antoine Baker
Florent Krzakala
Lenka Zdeborová
50
36
0
04 Dec 2019
Information-Theoretic Lower Bounds for Compressive Sensing with
  Generative Models
Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models
Zhaoqiang Liu
Jonathan Scarlett
70
41
0
28 Aug 2019
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors
Gauri Jagatap
Chinmay Hegde
55
74
0
20 Jun 2019
Deep Decoder: Concise Image Representations from Untrained
  Non-convolutional Networks
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks
Reinhard Heckel
Paul Hand
72
284
0
02 Oct 2018
Phase Retrieval Under a Generative Prior
Phase Retrieval Under a Generative Prior
Paul Hand
Oscar Leong
V. Voroninski
55
189
0
11 Jul 2018
Modeling Sparse Deviations for Compressed Sensing using Generative
  Models
Modeling Sparse Deviations for Compressed Sensing using Generative Models
Manik Dhar
Aditya Grover
Stefano Ermon
53
79
0
04 Jul 2018
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with
  Provable Guarantees
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees
Viraj Shah
Chinmay Hegde
GAN
89
166
0
23 Feb 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
242
8,856
0
25 Aug 2017
Phase Retrieval via Wirtinger Flow: Theory and Algorithms
Phase Retrieval via Wirtinger Flow: Theory and Algorithms
Emmanuel Candes
Xiaodong Li
Mahdi Soltanolkotabi
177
1,285
0
03 Jul 2014
Phase Retrieval using Alternating Minimization
Phase Retrieval using Alternating Minimization
Praneeth Netrapalli
Prateek Jain
Sujay Sanghavi
183
632
0
02 Jun 2013
Sparse PCA through Low-rank Approximations
Sparse PCA through Low-rank Approximations
Dimitris Papailiopoulos
A. Dimakis
Stavros Korokythakis
67
71
0
03 Mar 2013
Sparse PCA: Optimal rates and adaptive estimation
Sparse PCA: Optimal rates and adaptive estimation
Tommaso Cai
Zongming Ma
Yihong Wu
121
327
0
06 Nov 2012
Sparse principal component analysis and iterative thresholding
Sparse principal component analysis and iterative thresholding
Zongming Ma
118
333
0
12 Dec 2011
PCA consistency in high dimension, low sample size context
PCA consistency in high dimension, low sample size context
Sungkyu Jung
J. S. Marron
93
319
0
19 Nov 2009
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