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20192024
most citedOn instabilities of deep learning in image reconstruction - Does AI come at a cost?

795 citations · 958 across the 9 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

math.NA2021

Recovering wavelet coefficients from binary samples using fast transforms

Vegard Antun

Recovering a signal (function) from finitely many binary or Fourier samples is one of the core problems in modern medical imaging, and by now there exist a plethora of methods for…

cs.LG2021★ 130 cited

Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem

Matthew J. Colbrook, Vegard Antun, Anders C. Hansen

Deep learning (DL) has had unprecedented success and is now entering scientific computing with full force. However, current DL methods typically suffer from instability, even when…