Difference between revisions of "Heidelberg TDA Seminar (Summer 2022)"

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Order parameters from persistent homology in non-Abelian gauge theory
 
Order parameters from persistent homology in non-Abelian gauge theory
 
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Revision as of 12:17, 11 May 2022

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 applications of TDA often build on a deep intuition about the system in question and many theoretical aspects of TDA remain active fields of research.

The goal of this seminar is to bring together people from various backgrounds who are interested in TDA. We will have talks on topics ranging from applications of TDA on real world problems to the abstract mathematical foundations of the subject. Contributions by participants are very welcome!

Coordinates and Organization

Time: Thursdays 11h15 - 12h45
Location: Mathematikon (INF205), SR 4

Organizers: Lukas Hahn, Maximilian Schmahl, Daniel Spitz.
Feel free to get in touch with us in the case of questions: structures-hiwi@mathi.uni-heidelberg.de

Schedule

Date Topic Info Speaker Slides
19.05. Introduction

Order parameters from persistent homology in non-Abelian gauge theory

Daniel Spitz
26.05. Himmelfahrt, holiday
02.06.
09.06.
16.06. Fronleichnam, holiday
23.06.
30.06.
07.07.
14.07.