Mathematics of Machine Learning and Data Science
The research groups of Philipp Petersen and Philipp Grohs organize a joint research group seminar about the "Math of Machine Learning and Data Science". In this seminar, we discuss current work by researchers in our groups, present and discuss recent papers, and have invited talks by collaborators and guests. Everyone (students, faculty members, guests, etc.) is welcome!
Some quick information:
When: Monday, 10:15 - 11:15 (except during holidays and semester breaks).
Where: Seminar room 8 in Kolingasse 14-16, first floor (for remote talks, Zoom links will be posted here).
Mailing list: You can subscribe here to get weekly updates about upcoming talks.
Organizers: Dominik Dold and Georg Tauböck.
Below, you can find the current schedule (which is updated regularly) as well as links to the abstracts of past seminars.
Schedule: WiSe 2024
Date | Presenter | Title |
---|---|---|
Nov 18 2024 | Michael Scherbela (UWien) | AlphaFold. |
Nov 11 2024 | Andrés Felipe Lerma Pineda (UWien) | Dimension-independent learning rates for high-dimensional classification problems. |
Nov 04 2024 | Jonathan García Rebellón (UWien) | Classification problem with Barron regular boundaries and margin condition. |
Oct 21 2024 | Dominik Dold (UWien) | Function from form: a brief journey covering neurons, graphs, lattices, and stars. |