Publications & Preprints
Topology and Machine Learning
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Singular Value Representation: A New Graph Perspective On Neural Networks
with Dan Meller.
Accepted to the conference AISTAT23. -
giotto-deep: A Python Package for Topological Deep Learning
with Raphael Reinauer and Matteo Caorsi.
Published in The Journal of Open Source Software. -
Persformer: A Transformer Architecture for Topological Machine Learning
with Raphael Reinauer and Matteo Caorsi.
Applied Algebraic Topology
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One Diamond to Rule Them All: Old and new topics about zigzag, levelsets and extended persistence
with Luca Nyckees.
- Persistence and the Sheaf-Function Correspondence Published in Forum of Mathematics, Sigma.
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Projected distances for multi-parameter persistence modules
with François Petit.
Accepted in Annales de l'Institut Fourrier. -
Level-sets Persistence and Sheaf Theory
with Grégory Ginot and Steve Oudot.
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Ephemeral Persistence modules and Distance Comparisons
with François Petit.
Published in Algebraic and Geometric Topology. - Algebraic Homotopy Interleaving Distance Published in the Proceedings of the International Conference on Geometric Science of Information 2021.
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A Derived Isometry for Constructible Sheaves on R
with Grégory Ginot.
Published in Advances in Mathematics.
Sociology
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Are competitive entrance exams neutral? Competition and sponsorship in access to the École polytechnique
with Pierre François.
Published in Sociologie.