talks

  • Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein. Slides.
    • 06/2024: Cambridge University Machine Learning group seminar.
    • 05/2024: talk at CANUM 2024, île de Ré.
    • 04/2024: seminar LaMME - Univ. Paris-Saclay, Univ Evry.
    • 04/2024: seminar Inria Mind team.
  • Affinity matrices with Symmetric Optimal Transport. Slides. Poster.
    • 12/2023: NeurIPS 2023 conference, Paris and New Orleans.
    • 11/2023: RT MIA thematic day on Dimensionality reduction, Lyon.
    • 11/2023: PariSanté campus, Paris.
    • 06/2023: GeMSS 2023, Copenhagen.
  • Graph Coupling for Dimensionality Reduction. Slides. Poster.
    • 11/2022: NeurIPS 2022 conference, New Orleans.
    • 10/2022: Workshop « Statistical challenges in scRNA-seq data analysis » in Toulouse.
    • 05/2022: EPIT workshop in CIRM, Marseille.
    • 04/2022: Statlearn workshop in Cargèse.
    • 03/2022: MLSP seminar at ENS Lyon.
  • Miscellaneous.
    • 05/2021: SingleStatOmics meeting, online. High-dimensional Gaussian graphical models on network-linked data (Li et al.). Slides.
  • Popularization talks.
    • About the Kullback-Leibler divergence. Slides.
    • About convexity. Slides.
    • On the Curses and Blessings of Dimensionality. Slides.