most citedNESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems

9 citations · 9 across the 2 of their papers we have counts for

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math.OC2023

Restarts subject to approximate sharpness: A parameter-free and optimal scheme for first-order methods

Ben Adcock, Matthew J. Colbrook, Maksym Neyra-Nesterenko

Sharpness is an almost generic assumption in continuous optimization that bounds the distance from minima by objective function suboptimality. It facilitates the acceleration of fi…