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Eloi TANGUY

Affiliation: post-doctoral fellow at OCKHAM, INRIA, ENS de Lyon

Research Interests:

  • Optimal Transport: Generalised Wasserstein Barycentres, Sliced Wasserstein Distance, Gaussian Mixture Model Optimal Transport
  • Generative Modelling
  • Theory of Deep Learning: Path lifting and representation of neural networks
  • Reproducing Kernel Hilbert Spaces and Sketching

Academic Career

Postdoc (2026) @INRIA, ENS de Lyon: Concentration of random neural networks. Supervision: Rémi Gribonval

PhD (2022–2025) @MAP5, Université Paris-Cité: Theory and Computation of Optimal Transport Variants. Supervision: Julie Delon and Agnès Desolneux, manuscript link

Master Thesis (2022) @MAP5, Université Paris-Cité: Generalised Wasserstein Barycentres and the Sliced Wasserstein Distance. Supervision: Julie Delon and Rémi Flamary manuscript link

Master’s Degree (2021-2022) @ENS Paris-Saclay: Mathematics, Vision and Learning (MVA)

Engineering Degree (2018-2021) @Ecole Polytechnique

Experience

Board Member, Young Statisticians Group (2023–2026) @French Statistical Society (SFdS): organising research events and webmaster

PhD Student Seminar Co-Organiser (2023–2024) @MAP5

Teaching Assistant (2018–2019) @Université de Technologie du Cambodge: taught full-time gifted undergraduate students preparing for Ecole Polytechnique entry exams