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Vegard Antun
ORCID
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 8
Top Topics
Deep Learning
Top Venues
CoRR
SIAM J. Sci. Comput.
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Publications
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Johan S. Wind
,
Vegard Antun
,
Anders C. Hansen
Implicit regularization in AI meets generalized hardness of approximation in optimization - Sharp results for diagonal linear networks.
CoRR
(2023)
Vegard Antun
Recovering Wavelet Coefficients from Binary Samples Using Fast Transforms.
SIAM J. Sci. Comput.
44 (3) (2022)
Vegard Antun
Recovering wavelet coefficients from binary samples using fast transforms.
CoRR
(2021)
Vegard Antun
,
Matthew J. Colbrook
,
Anders C. Hansen
Can stable and accurate neural networks be computed? - On the barriers of deep learning and Smale's 18th problem.
CoRR
(2021)
Nina M. Gottschling
,
Vegard Antun
,
Ben Adcock
,
Anders C. Hansen
The troublesome kernel: why deep learning for inverse problems is typically unstable.
CoRR
(2020)
Laura Thesing
,
Vegard Antun
,
Anders C. Hansen
What do AI algorithms actually learn? - On false structures in deep learning.
CoRR
(2019)
Ben Adcock
,
Vegard Antun
,
Anders C. Hansen
Uniform recovery in infinite-dimensional compressed sensing and applications to structured binary sampling.
CoRR
(2019)
Vegard Antun
,
Francesco Renna
,
Clarice Poon
,
Ben Adcock
,
Anders C. Hansen
On instabilities of deep learning in image reconstruction - Does AI come at a cost?
CoRR
(2019)