ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results
GUIGUI, Nicolas
Université Côte d'Azur [UniCA]
E-Patient : Images, données & mOdèles pour la médeciNe numériquE [EPIONE]
Université Côte d'Azur [UniCA]
E-Patient : Images, données & mOdèles pour la médeciNe numériquE [EPIONE]
BEKETOV, Maxim
Vysšaja škola èkonomiki = National Research University Higher School of Economics [Moscow] [HSE]
Vysšaja škola èkonomiki = National Research University Higher School of Economics [Moscow] [HSE]
MAIGNANT, Elodie
Université Côte d'Azur [UniCA]
E-Patient : Images, données & mOdèles pour la médeciNe numériquE [EPIONE]
CB - Centre Borelli - UMR 9010 [CB]
Université Côte d'Azur [UniCA]
E-Patient : Images, données & mOdèles pour la médeciNe numériquE [EPIONE]
CB - Centre Borelli - UMR 9010 [CB]
ČERNÝ, Marek
Vysšaja škola èkonomiki = National Research University Higher School of Economics [Moscow] [HSE]
< Réduire
Vysšaja škola èkonomiki = National Research University Higher School of Economics [Moscow] [HSE]
Langue
en
Document de travail - Pré-publication
Résumé en anglais
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 ...Lire la suite >
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.< Réduire
Projet Européen
G-Statistics - Foundations of Geometric Statistics and Their Application in the Life Sciences
Project ANR
3IA Côte d'Azur
Origine
Importé de halUnités de recherche