Oberseminar "Mathematics of Artificial Intelligence" (Math-of-AI)
The Oberseminar Math-of-AI in Winter Semester 2026/27 is organized by
Alexander Effland, Illia Karabash, and Floris van Doorn, jointly with Anton Bovier
(see the web-page OS Math-of-AI in SoSe 2026 for the talks of the previous semester).
The seminar takes place several times per semester on Mondays from 12:45 to 14:00
in the Lipschitz-Saal (Endenicher Allee 60) or the seminar room N0.007 (Endenicher Allee 60, Neubau).
Talks in Winter Semester 2026/2027
- 12.10.2026, in the Lipschitz-Saal (Endenicher Allee 60)
Speaker. Afonso S. Bandeira (ETH Zürich).
Title. Random Matrices, Intrinsic Freeness, and Sharp Non-Asymptotic Inequalities
Abstract. - 23.11.2026
Speaker. Claire Boyer (Université Paris-Saclay).
Title. TBA
Abstract. TBA - 14.12.2026
Speaker. Zhigang Yao (National University of Singapore).
Tentative title. Geometry as Signal: Manifold Fitting and the Structure of Data.
Abstract. TBA - tentatively January 2027
Speaker. Lars Grüne (University of Bayreuth).
Title. TBA
Abstract. TBA
Abstracts
- 12.10.2026, in the Lipschitz-Saal (Endenicher Allee 60)
Afonso S. Bandeira (ETH Zürich).
Title. Random Matrices, Intrinsic Freeness, and Sharp Non-Asymptotic Inequalities
Abstract. Random matrix theory has played a major role in several areas of pure and applied mathematics, as well as statistics, physics, and computer science. This lecture aims to describe the intrinsic freeness phenomenon and how it provides new easy-to-use sharp non-asymptotic bounds on the spectrum of general random matrices.