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A coherence parameter characterizing generative compressed sensing with
  Fourier measurements

A coherence parameter characterizing generative compressed sensing with Fourier measurements

19 July 2022
Aaron Berk
Simone Brugiapaglia
Babhru Joshi
Y. Plan
Matthew Scott
Özgür Yilmaz
ArXivPDFHTML

Papers citing "A coherence parameter characterizing generative compressed sensing with Fourier measurements"

3 / 3 papers shown
Title
Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Jonathan Scarlett
Reinhard Heckel
M. Rodrigues
Paul Hand
Yonina C. Eldar
AI4CE
22
29
0
29 Jun 2022
Non-Iterative Recovery from Nonlinear Observations using Generative
  Models
Non-Iterative Recovery from Nonlinear Observations using Generative Models
Jiulong Liu
Zhaoqiang Liu
28
11
0
31 May 2022
GenMod: A generative modeling approach for spectral representation of
  PDEs with random inputs
GenMod: A generative modeling approach for spectral representation of PDEs with random inputs
Jacqueline Wentz
Alireza Doostan
10
1
0
31 Jan 2022
1