Publications & Preprints

Topology and Machine Learning

  1. Singular Value Representation: A New Graph Perspective On Neural Networks

    with Dan Meller.

    Accepted to the conference AISTAT23.
  2. giotto-deep: A Python Package for Topological Deep Learning

    with Raphael Reinauer and Matteo Caorsi.

    Published in The Journal of Open Source Software.
  3. Persformer: A Transformer Architecture for Topological Machine Learning

    with Raphael Reinauer and Matteo Caorsi.

Applied Algebraic Topology

  1. One Diamond to Rule Them All: Old and new topics about zigzag, levelsets and extended persistence

    with Luca Nyckees.

  2. Persistence and the Sheaf-Function Correspondence Published in Forum of Mathematics, Sigma.
  3. Projected distances for multi-parameter persistence modules

    with François Petit.

    Accepted in Annales de l'Institut Fourrier.
  4. Level-sets Persistence and Sheaf Theory

    with Grégory Ginot and Steve Oudot.

  5. Ephemeral Persistence modules and Distance Comparisons

    with François Petit.

    Published in Algebraic and Geometric Topology.
  6. Algebraic Homotopy Interleaving Distance Published in the Proceedings of the International Conference on Geometric Science of Information 2021.
  7. A Derived Isometry for Constructible Sheaves on R

    with Grégory Ginot.

    Published in Advances in Mathematics.

Sociology

  1. Are competitive entrance exams neutral? Competition and sponsorship in access to the École polytechnique

    with Pierre François.

    Published in Sociologie.