Thematic Mini-Conference, Computational Topology and Machine Learning
September 28, 2021, Time Zone: Berlin Time (Central European Summer Time, CEST)
Chair: Henry Adams / Roland Kwitt / Jose Perea
- 04:00 pm to 04:40 pm Jose Perea (Northeastern U)
Approximate vector bundles
- 04:50 pm to 05:30 pm Bastian Rieck (ETH Zürich)
Learning Topology-Based Graph Representations
- 05:30 am to 06:00 pm Virtual coffee break
- 06:00 pm to 06:40 pm Henry Adams (Colorado State U)
Relationships between persistent homology, machine learning, and local geometry
- 06:50 pm to 07:30 pm Roland Kwitt (U Salzburg)
Learning from and with persistent homology
September 29, 2021, Time Zone: Berlin Time (Central European Summer Time, CEST)
Chair: Yusu Wang / Peter Bubenik
- 04:00 pm to 04:40 pm Peter Bubenik (U Florida)
Topological Data Analysis for Biological Images and Video
- 04:50 pm to 05:30 pm Chao Chen (Stony Brook)
Topology-Informed Image Segmentation, Generation and Analysis
- 05:30 am to 06:00 pm Virtual coffee break
- 06:00 pm to 06:40 pm Yusu Wang (UC San Diego)
Infusing topological information to machine learning
- 06:50 pm to 07:30 pm Mathieu Carrière (Inria Sophia Antipolis)
A Framework to Differentiate Persistent Homology with Applications in Machine Learning and Statistics
Contact
tes-summer2021@math.tu-berlin.de