Teaching

  • Towards Powerful Foundation Models for Time Series Classification

    Tutorial I gave at the HiParis! Summer School 2026.
  • Statistical Analysis and Document Mining

    Materials from the course I taught from 2019 to 2021 for ENSIMAG 2A and MSIAM M1 students.

Code

  • Multi-class Self-learning Algorithm (MSLA)

    The source code for the MSLA proposed in the paper "Transductive Bounds for the Multi-class Majority Vote Classifier".
  • UGA Beamer Template

    Very simple beamer template for the University Grenoble Alpes.