Vegard Antun

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

Due to COVID 19 restrictions, I am only present at the office Mondays, Tuesdays and Wednesdays.

Academic interests

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

For more information see my webpage (currently this is down, hope to fix it soon).



  • N. Gottschling, V. Antun, B. Adcock, A. C. Hansen. The troublesome kernel: why deep learning for inverse problems is typically unstable, [arXiv].
  • V. Antun, Ø. Ryan. On the unification of schemes for wavelets on the interval [Preprint] [Technical report]
  • L. Thesing, V. Antun, A. C. Hansen. What do AI algorithms actually learn? - On false structures in deep learning, [arXiv].
  • B. Adcock, V. Antun, A. C. Hansen. Uniform recovery in infinite-dimensional compressed sensing and applications to structured binary sampling, [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].

Slides from selected talks

- How intelligent is artificial intelligence ? - On the surprising and mysterious secrets of deep learning (23. May 2019) link.

- A Practical Guide to Deep Learning at the Department of Mathematics (March 2019) slidescode.
- Trends in mathematics of information (16. May 2018) link.

Courses taught

Tags: Mathematics, Computational Mathematics
Published Aug. 22, 2016 4:24 PM - Last modified Oct. 6, 2020 8:19 PM

Research groups