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Global Guarantees for Blind Demodulation with Generative Priors

Global Guarantees for Blind Demodulation with Generative Priors

29 May 2019
Paul Hand
Babhru Joshi
ArXiv (abs)PDFHTML

Papers citing "Global Guarantees for Blind Demodulation with Generative Priors"

19 / 19 papers shown
Title
Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural
  Representations in the Low-Data Regime
Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime
Abeer Banerjee
S. Singh
107
0
0
27 Nov 2024
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed
  Self-Supervised Learning
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning
Keying Kuang
Frances Dean
Jack B. Jedlicki
David Ouyang
Anthony Philippakis
David Sontag
Ahmed M. Alaa
SyDaPINN
80
2
0
29 Feb 2024
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based
  Generative Models
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models
Xiangming Meng
Y. Kabashima
128
1
0
02 Feb 2023
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse
  Problems
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems
Xiangming Meng
Y. Kabashima
DiffM
134
54
0
20 Nov 2022
Quantized Compressed Sensing with Score-based Generative Models
Quantized Compressed Sensing with Score-based Generative Models
Xiangming Meng
Y. Kabashima
DiffM
103
12
0
02 Nov 2022
A coherence parameter characterizing generative compressed sensing with
  Fourier measurements
A coherence parameter characterizing generative compressed sensing with Fourier measurements
Aaron Berk
Simone Brugiapaglia
Babhru Joshi
Y. Plan
Matthew Scott
Özgür Yilmaz
97
7
0
19 Jul 2022
Signal Recovery with Non-Expansive Generative Network Priors
Signal Recovery with Non-Expansive Generative Network Priors
Jorio Cocola
61
1
0
24 Apr 2022
Robust 1-bit Compressive Sensing with Partial Gaussian Circulant
  Matrices and Generative Priors
Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors
Zhaoqiang Liu
Subhro Ghosh
J. Han
Jonathan Scarlett
63
8
0
08 Aug 2021
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
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
Optimal Sample Complexity of Subgradient Descent for Amplitude Flow via
  Non-Lipschitz Matrix Concentration
Optimal Sample Complexity of Subgradient Descent for Amplitude Flow via Non-Lipschitz Matrix Concentration
Paul Hand
Oscar Leong
V. Voroninski
59
1
0
31 Oct 2020
Compressive Phase Retrieval: Optimal Sample Complexity with Deep
  Generative Priors
Compressive Phase Retrieval: Optimal Sample Complexity with Deep Generative Priors
Paul Hand
Oscar Leong
V. Voroninski
66
7
0
24 Aug 2020
Generative Patch Priors for Practical Compressive Image Recovery
Generative Patch Priors for Practical Compressive Image Recovery
Rushil Anirudh
Suhas Lohit
Pavan Turaga
GAN
114
4
0
18 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
Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative
  Priors
Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors
Jorio Cocola
Paul Hand
V. Voroninski
103
4
0
14 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
Deep S$^3$PR: Simultaneous Source Separation and Phase Retrieval Using
  Deep Generative Models
Deep S3^33PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models
Christopher A. Metzler
Gordon Wetzstein
82
11
0
14 Feb 2020
Sub-Gaussian Matrices on Sets: Optimal Tail Dependence and Applications
Sub-Gaussian Matrices on Sets: Optimal Tail Dependence and Applications
Halyun Jeong
Xiaowei Li
Y. Plan
Özgür Yilmaz
70
18
0
28 Jan 2020
Low Shot Learning with Untrained Neural Networks for Imaging Inverse
  Problems
Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems
Oscar Leong
W. Sakla
GAN
66
7
0
23 Oct 2019
1