A coherence parameter characterizing generative compressed sensing with
Fourier measurements

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A coherence parameter characterizing generative compressed sensing with Fourier measurements

19 July 2022

Simone Brugiapaglia

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

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Title
Denoising guarantees for optimized sampling schemes in compressed sensing Y. Plan Matthew Scott Xia Sheng Özgür Yilmaz 72 0 0 01 Apr 2025
A unified framework for learning with nonlinear model classes from arbitrary linear samples Ben Adcock Juan M. Cardenas N. Dexter 75 3 0 25 Nov 2023
Model-adapted Fourier sampling for generative compressed sensing Aaron Berk Simone Brugiapaglia Y. Plan Matthew Scott Xia Sheng Özgür Yilmaz 50 2 0 08 Oct 2023
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions Ben Adcock Juan M. Cardenas N. Dexter 70 6 0 01 Jun 2023
Theoretical Perspectives on Deep Learning Methods in Inverse Problems Jonathan Scarlett Reinhard Heckel M. Rodrigues Paul Hand Yonina C. Eldar AI4CE 110 32 0 29 Jun 2022
The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems N. Gottschling Vegard Antun A. Hansen Ben Adcock 87 34 0 05 Jan 2020