Vegard Antun

Image of Vegard Antun
Norwegian version of this page
Mobile phone +47 91553728
Room 1005
Username
Visiting address Moltke Moes vei 35 Niels Henrik Abels hus 0851 OSLO
Postal address Postboks 1053 Blindern 0316 Oslo

Academic interests

Inverse problems, compressive imaging, wavelets, deep learning, neural networks.

For more information see my webpage.

Publications

Preprints

  • V. Antun. Recovering wavelet coefficients from binary samples using fast transforms, [arXiv].
  • M. Colbrook, V. Antun, A. C. Hansen. Can stable and accurate neural networks be computed? - On the barriers of deep learning and Smale's 18th problem, [arXiv].
  • N. Gottschling, V. Antun, B. Adcock, A. C. Hansen. The troublesome kernel: why deep learning for inverse problems is typically unstable, [arXiv].
  • L. Thesing, V. Antun, A. C. Hansen. What do AI algorithms actually learn? - On false structures in deep learning, [arXiv].

Refereed Conference Articles

  • M. Colbrook, V. Antun, A. C. Hansen. On the existence of stable and accurate neural networks for image reconstruction, Signal Processing with Adaptive Sparse Structured
    Representations (SPARS), 2019, [PDF]. 

PhD Thesis

  • V. Antun. Stability and accuracy in compressive sensing and deep learning [pdf]

Courses taught

Tags: Mathematics, Computational Mathematics
Published Aug. 22, 2016 4:24 PM - Last modified June 2, 2021 8:28 AM

Research groups