Vegard Antun
Doctoral Research Fellow
-
Differential Equations and Computational Mathematics
Norwegian version of this page
Email
vegarant@math.uio.no
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
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
Preprints
- 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) slides, code.
- Trends in mathematics of information (16. May 2018) link.
Courses taught
- Autumn 2019: Lecturing MAT-INF 1100 – Modelling and computations
- Autumn 2016-1018: Plenary exercises in MAT-INF 1100 – Modelling and computations
- Spring 2017: Teaching assistant in MAT-INF 2360 - Applications of linear algebra
Published Aug. 22, 2016 4:24 PM
- Last modified Nov. 13, 2019 3:59 PM