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
Other affiliations Faculty of Mathematics and Natural Sciences (Student)

Academic interests

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

For more information see my webpage


  • V. Antun, Ø. Ryan. On the unification of schemes for wavelets on the interval [Preprint] [Technical report]
  • 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]
  • B. Adcock, V. Antun, A. C. Hansen. Uniform recovery in infinite-dimensional compressed sensing and applications to structured binary sampling [arXiv]
  • V. Antun, F. Renna, C. Poon, B. Adcock, A. C. Hansen. On instabilities of deep learning in image reconstruction - Does AI come at a cost? [arXiv]

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 Feb. 26, 2020 11:46 AM

Research groups