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researcher

A. Hansen

35 papers hereh-index 293.3k citations88 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author15
  • last author18

Across the 35 of 35 papers where every author was matched, so the position is known.

fields
  • math.NA14
  • cs.IT5
  • cs.LG4
  • math.FA4
  • math.OC2
  • stat.ML2
same name
  • A. Hansen — 116 papers, h 38
  • A. Hansen — 29 papers
  • A. Hansen — 10 papers, h 12
  • A. Hansen — 7 papers, h 7
  • A. Hansen — 5 papers, h 4
  • A. Hansen — 4 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102026
most citedOn instabilities of deep learning in image reconstruction - Does AI come at a cost?

795 citations · 1.3k across the 32 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

math.OC2021★ 44 cited

The extended Smale's 9th problem -- On computational barriers and paradoxes in estimation, regularisation, computer-assisted proofs and learning

Alexander Bastounis, Anders C Hansen, Verner Vlačić

Linear and semidefinite programming (LP, SDP), regularisation through basis pursuit (BP) and Lasso have seen great success in mathematics, statistics, data science, computer-assist…

cs.LG2021

The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks

Alexander Bastounis, Anders C Hansen, Verner Vlačić

The unprecedented success of deep learning (DL) makes it unchallenged when it comes to classification problems. However, it is well established that the current DL methodology prod…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.