Talks

Talks grouped by year (newest first).

2025

  1. Adapting learning models to distribution shifts with affine alignment
    POPILSS Day - Annecy (France)
    2025
    PDF
  2. Adapting learning models to distribution shifts with affine alignment
    SIMPAS Team - CMAP Retreat - Rouen (France)
    2025
    PDF

2024

  1. Skada and Skada-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation
    Mind Team - Palaiseau (France)
    2024
    PDF
  2. Riemannian geometry for statistical estimation and learning: applications to remote sensing and M/EEG
    OPIS Seminar - CentraleSupélec - Gif-sur-Yvette (France)
    2024
    PDF

2023

  1. Riemannian geometry for statistical estimation and learning: applications to remote sensing and M/EEG
    TAU Seminar - Laboratoire De Recherche En Informatique - Gif-sur-Yvette (France)
    2023
    PDF
  2. Parametric information geometry with the package Geomstats
    Mind Team - Palaiseau (France)
    2023
    PDF
  3. Riemannian geometry for statistical estimation and learning: applications to remote sensing and M/EEG
    S3 Seminar - L2S - CentraleSupélec - Gif-sur-Yvette (France)
    2023
    PDF
  4. Optimal transport and dimension reduction: Entropic Wasserstein Component Analysis
    ELLIS Unconference - HEC - Jouy-en-Josas (France)
    2023
    PDF
  5. Entropic Wasserstein Component Analysis
    SIMPAS Team - Centre Polytechnique - Palaiseau (France)
    2023
    PDF
  6. A (very) short presentation of Riemannian optimization using Pymanopt
    Mind Team - Palaiseau (France)
    2023
    PDF
  7. Estimation and classification of location and covariance matrix using Riemannian geometry: application to remote sensing
    Laboratoire Jean Kuntzmann Seminar - Grenoble (France)
    2023
    PDF

2022

  1. On The Use of Geodesic Triangles Between Gaussian Distributions for Classification Problems
    Sondra Workshop - Avignon (France)
    2022
    PDF
  2. Optimization and statistical learning using Riemannian geometry: application to remote sensing
    DSO National Laboratories - Singapore
    2022
    PDF
  3. Optimization and statistical learning using Riemannian geometry and application to remote sensing
    Inria Saclay - Parietal Team - Palaiseau (France)
    2022
    PDF
  4. Robust Clustering for Satellite Images Time-Series
    ONERA - The French Aerospace Lab - Palaiseau (France)
    2022
    PDF

2021

  1. Probabilistic PCA from Heteroscedastic Signals: Geometric Framework and Application to Clustering
    Statistical Learning Signal, and Image Processing (SLSIP) Workshop - Rüdesheim Rhein (Germany)
    2021
    PDF
  2. Riemannian Geometry to Robust Estimation Covariance matrices with Application to Machine Learning
    LISTIC Laboratory - Annecy (France)
    2021
    PDF