Topics in TDA

Journal Club

Michael Bleher, Daniel Spitz
Heidelberg University

Topological Data Analysis (TDA) offers a nonparametric toolkit for uncovering structure in complex data. The Winter 2019/20 journal club combined foundational readings with applications drawn from machine learning, cosmology, neuroscience, and multivariate statistics.

Coordinates

  • Time: Wednesdays, 09:15 – 10:45
  • Location: Mathematikon, Seminar Room 9
  • Format: Weekly presentations based on the listed papers, with additional references allowed.
  • Organisers: Michael Bleher & Daniel Spitz — structures-hiwi@mathi.uni-heidelberg.de
  • Mailing list: Registration via Müsli

Schedule

Date Topic Speaker
16 Oct 2019 Organisational meeting Michael Bleher, Daniel Spitz
23 Oct 2019 The Mapper Algorithm and its Application (Nicolau, Levine & Carlsson 2011) Ruth Lang Fuentes
30 Oct 2019 Stability Theorems I (Cohen-Steiner et al. 2007/2010) Daniel Spitz
06 Nov 2019 Stability Theorems II (Bauer & Lesnick 2016) Maximilian Schmahl
13 Nov 2019 Persistent homology for dynamical quantum phenomena; statistics of persistence diagrams (Berry et al. 2018) Daniel Spitz
20 Nov 2019 No meeting  
27 Nov 2019 Machine Learning & TDA I (Pun, Xia & Lee 2018) Sebastian Damrich
04 Dec 2019 Differential Calculus on Persistence Barcodes (Leygonie, Oudot & Tillmann 2019) Arnaud Maret
11 Dec 2019 Graph Embedding in Symmetric Spaces (Nickel & Kiela 2017; Wilson & Leimeister 2018) Clemens Fruboese
18 Dec 2019 Structure Theorems (Botnan & Crawley-Boevey 2019) Michael Bleher
08 Jan 2020 Machine Learning & TDA II (cancelled)  
15 Jan 2020 Multipersistence I — Invariants (Carlsson & Zomorodian 2009) Maximilian Neumann
22 Jan 2020 Multipersistence II — Real multiparameter persistence (Ezra Miller 2017) Lukas Waas
29 Jan 2020 Topological Exploration of Neuronal Morphologies (cancelled)  
05 Feb 2020 Künneth Theorem (Gakhar & Perea 2019) Johannes Feldmann

Further Reading

See Introductory reading.