Topological Methods in Data Analysis - Journal Club (Winter 2021/22)
In recent years there has been a somewhat surprising flow of ideas from the mathematical branch of topology towards applications in the natural sciences. The tale of Topological Data Analysis (TDA) has it, that these methods provide a highly flexible, nonparametric approach to data analysis. Indeed, there are by now several well-known mathematical results that make statements of this kind rigorous. However, successful examples of TDA often build on a deep intuition about the system in question and many aspects of topological methods in data analysis remain a field of active research.
The goal of this seminar is to offer a platform where we can learn about the TDA toolkit, discuss articles and new developments, and exchange ideas for the analysis of concrete datasets.
Coordinates and Organization
Time: Mondays 11h15 - 12h45
Zoom 830 4593 4507
Please get in touch with us to receive the password.
Organizers: Michael Bleher, Maximilian Schmahl, Daniel Spitz.
structures-hiwi@mathi.uni-heidelberg.de
Schedule
| Date | Topic | Info | Speaker | Slides |
|---|---|---|---|---|
| 18.10. | Introduction and Organization | Michael Bleher, Maximilian Schmahl, Daniel Spitz | ||
| 25.10. | ||||
| 01.11. | ||||
| 08.11. | ||||
| 15.11. | ||||
| 22.11. | ||||
| 29.11. | ||||
| 06.12. | ||||
| 13.12. | ||||
| 20.12. | ||||
| --- Christmas Break --- | ||||
| 10.01. | ||||
| 17.01. | ||||
| 31.01. | ||||
| 07.02. | ||||