ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results
Publikation: Konferencebidrag › Paper › Forskning
Dokumenter
- ICLR 2022 CHALLENGE FOR
Forlagets udgivne version, 109 KB, PDF-dokument
This paper presents the computational challenge on differential geometry and topology that was hosted within the ICLR 2022 workshop ``Geometric and Topological Representation Learning". The competition asked participants to provide implementations of machine learning algorithms on manifolds that would respect the API of the open-source software Geomstats (manifold part) and Scikit-Learn (machine learning part) or PyTorch. The challenge attracted seven teams in its two month duration. This paper describes the design of the challenge and summarizes its main findings.
Originalsprog | Engelsk |
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Publikationsdato | 2022 |
Antal sider | 8 |
Status | Udgivet - 2022 |
Begivenhed | ICLR 2022 Workshop on Geometrical and Topological Representation Learnings - ICLR 2022 - Virtual Varighed: 29 apr. 2022 → 29 apr. 2022 |
Workshop
Workshop | ICLR 2022 Workshop on Geometrical and Topological Representation Learnings - ICLR 2022 |
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By | Virtual |
Periode | 29/04/2022 → 29/04/2022 |
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