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A coherence parameter characterizing generative compressed sensing with
  Fourier measurements
v1v2v3v4v5 (latest)

A coherence parameter characterizing generative compressed sensing with Fourier measurements

IEEE Journal on Selected Areas in Information Theory (JSAIT), 2022
19 July 2022
Aaron Berk
Simone Brugiapaglia
Babhru Joshi
Y. Plan
Matthew Scott
Özgür Yilmaz
ArXiv (abs)PDFHTMLGithub

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

6 / 6 papers shown
Denoising guarantees for optimized sampling schemes in compressed sensing
Denoising guarantees for optimized sampling schemes in compressed sensing
Y. Plan
Matthew Scott
Xia Sheng
Özgür Yilmaz
251
0
0
01 Apr 2025
A unified framework for learning with nonlinear model classes from arbitrary linear samples
A unified framework for learning with nonlinear model classes from arbitrary linear samplesInternational Conference on Machine Learning (ICML), 2023
Ben Adcock
Juan M. Cardenas
N. Dexter
289
5
0
25 Nov 2023
Model-adapted Fourier sampling for generative compressed sensing
Model-adapted Fourier sampling for generative compressed sensing
Aaron Berk
Simone Brugiapaglia
Y. Plan
Matthew Scott
Xia Sheng
Özgür Yilmaz
248
5
0
08 Oct 2023
CS4ML: A general framework for active learning with arbitrary data based
  on Christoffel functions
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functionsNeural Information Processing Systems (NeurIPS), 2023
Ben Adcock
Juan M. Cardenas
N. Dexter
439
12
0
01 Jun 2023
Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Theoretical Perspectives on Deep Learning Methods in Inverse ProblemsIEEE Journal on Selected Areas in Information Theory (JSAIT), 2022
Jonathan Scarlett
Reinhard Heckel
M. Rodrigues
Paul Hand
Yonina C. Eldar
AI4CE
422
48
0
29 Jun 2022
The troublesome kernel -- On hallucinations, no free lunches and the
  accuracy-stability trade-off in inverse problems
The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problemsSIAM Review (SIAM Rev.), 2020
N. Gottschling
Vegard Antun
A. Hansen
Ben Adcock
535
57
0
05 Jan 2020
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