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authFullName_s : Johan Mathe

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

Nina Miolane , Matteo Caorsi , Umberto Lupo , Marius Guerard , Nicolas Guigui et al.
2021
Preprints, Working Papers, ... hal-03505132v1
Image document

Geomstats: A Python Package for Riemannian Geometry in Machine Learning

Nina Miolane , Nicolas Guigui , Alice Le Brigant , Johan Mathe , Benjamin Hou et al.
Journal of Machine Learning Research, 2020, 21 (223), pp.1-9
Journal articles hal-02536154v2
Image document

Introduction to Geometric Learning in Python with Geomstats

Nina Miolane , Nicolas Guigui , Hadi Zaatiti , Christian Shewmake , Hatem Hajri et al.
SciPy 2020 - 19th Python in Science Conference, Jul 2020, Austin, Texas, United States. pp.48-57, ⟨10.25080/Majora-342d178e-007⟩
Conference papers hal-02908006v1

geomstats: a Python Package for Riemannian Geometry in Machine Learning

Nina Miolane , Johan Mathe , Claire Donnat , Mikael Jorda , Xavier Pennec et al.
2019
Preprints, Working Papers, ... hal-01974572v1
Image document

ICLR 2022 Challenge for Computational Geometry & Topology: Design and Results

Adele Myers , Saiteja Utpala , Shubham Talbar , Sophia Sanborn , Christian Shewmake et al.
Proceedings of Machine Learning Research, 2022, Topological, Algebraic and Geometric Learning Workshops 2022, 196, pp.269-276. ⟨10.5281/zenodo.6554616⟩
Journal articles hal-03903044v1