In recent years there has been a surprising flow of ideas from the mathematical branch of differential geometry and topology towards applications in the natural sciences. Within an exploratory project of STRUCTURES we started to discuss about recent applications of hyperbolic geometry in machine learning, in particular to reveal underlying hierarchical structures in data sets. The goal of this seminar is to bring together researchers from various Heidelberg institutions interested in these topics from the mathematics side and the application side. We meet bi-weekly on thursdays 12:00 to 13:00 via zoom. Interested people are encouraged to send me (vdisarlo@mathi.uni-heidelberg.de) an email to be added to our mailing list and receive the zoom link.
| Date | Speaker(s) | Affiliation | Talk title | Abstract |
|---|---|---|---|---|
| 3/12/2020 | Organizational meeting | |||
| 17/12/2020 | Ullrich Koethe | Universitaet Heidelberg | Interpretable Machine Learning and Hyperbolic Geometry | slides, video 1 and video 2 . |
| 21/01/2021 | Sebastian Damrich | Universitaet Heidelberg | TBA | TBA |
| 4/02/2021 | TBA | TBA | TBA | TBA |
| 18/02/2021 | TBA | TBA | TBA | TBA |
| 4/03/2021 | TBA | TBA | TBA | TBA |