ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results
Nina Miolane, Matteo Caorsi, Umberto Lupo, Marius Guerard, Nicolas, Guigui, Johan Mathe, Yann Cabanes, Wojciech Reise, Thomas Davies, Ant\'onio, Leit\~ao, Somesh Mohapatra, Saiteja Utpala, Shailja Shailja, Gabriele Corso,, Guoxi Liu, Federico Iuricich, Andrei Manolache

TL;DR
This paper details the design and outcomes of a computational geometry and topology challenge at ICLR 2021, encouraging innovative contributions through open-source tools, with 16 teams participating over two months.
Contribution
It introduces a novel challenge framework for computational geometry and topology, fostering open-source contributions and collaborative innovation in the field.
Findings
16 teams participated in the challenge
The challenge spurred diverse innovative solutions
Open-source tools Geomstats and Giotto-TDA were central to the competition
Abstract
This paper presents the computational challenge on differential geometry and topology that happened within the ICLR 2021 workshop "Geometric and Topological Representation Learning". The competition asked participants to provide creative contributions to the fields of computational geometry and topology through the open-source repositories Geomstats and Giotto-TDA. The challenge attracted 16 teams in its two month duration. This paper describes the design of the challenge and summarizes its main findings.
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Taxonomy
TopicsTopological and Geometric Data Analysis · Cell Image Analysis Techniques
