# ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results

arXiv: https://arxiv.org/abs/2108.09810 · HTML: https://mlsanity.com/paper/2108.09810/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Aug 2021.

## Built on by (most cited first, 2 of 2)

- [Differentially Private Fr'echet Mean on the Manifold of Symmetric Positive Definite (SPD) Matrices with log-Euclidean Metric](https://mlsanity.com/paper/2208.04245/) (2022)
- [Near out-of-distribution detection for low-resolution radar micro-Doppler signatures](https://mlsanity.com/paper/2205.07869/) (2022)

## Abstract (arXiv)

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.