Topological machine learning researcher. Principal Investigator of the AIDOS Lab (Institute of AI for Health, Helmholtz Munich). Persistence is key.
- Munich, Germany
- https://bastian.rieck.me
- @Pseudomanifold
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A topological machine learning framework based on PyTorch
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latex-mimosis Public template
A minimal & modern LaTeX template for your (bachelor's | master's | doctoral) thesis
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BorgwardtLab/P-WL Public
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
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BorgwardtLab/topological-autoencoders Public archive
Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
6,495 contributions in the last year
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Activity overview
Contributed to
Pseudomanifold/DONUT,
aidos-lab/pytorch-topological,
hyperbard/hyperbard
and 32 other
repositories
Contribution activity
March 2023
Created 20 commits in 4 repositories
Created an issue in Pseudomanifold/latex-credits that received 1 comment
183
contributions
in private repositories
Mar 1 – Mar 20