Léo Gautheron

Welcome to my professional web page.

Short bio

I am a doctoral researcher in Computer Science at University Jean Monnet of Saint-Etienne (France) since October 2017. I work under the supervision of Pr. Marc Sebban, Pr. Amaury Habrard and Dr. Emilie Morvant at Hubert Curien Laboratory in the Data Intelligence team.

My PhD is funded by a ministerial fellowship. Its subject is "Representation learning from highly imbalanced data: application to anomaly and fraud detection".

I received in 2017 a Master degree in Computer Science from the Machine Learning & Data Mining Master. During this Master, I did a research internship at CREATIS (a Biomedical Imaging Research Laboratory) under the supervision of Dr. Ievgen Redko and Pr. Carole Lartizien. Its subject was "Domain adaptation using Optimal Transport: application to prostate cancer mapping".

Research Interests:

Classification, Imbalanced Data, Metric Learning, Domain Adaptation, Transfer Learning, Optimal Transport.


  • Metric Learning from Imbalanced Data
    Léo Gautheron, Emilie Morvant, Amaury Habrard, Marc Sebban
    IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2019, Portland, United States.
  • Revisite des "random Fourier features" basée sur l'apprentissage PAC-Bayésien via des points d'intérêts
    Léo Gautheron, Pascal Germain, Amaury Habrard, Gaël Letarte, Emilie Morvant, Marc Sebban, Valentina Zantedeschi
    Conférence sur l'Apprentissage automatique (CAp 2019), 2019, Toulouse, France.
  • Feature Selection for Unsupervised Domain Adaptation using Optimal Transport
    Léo Gautheron, Ievgen Redko, Carole Lartizien
    European Conference on Machine Learning & Principles and Pratice of Knowledge Discovery in Databases (ECML-PKDD), 2018, Dublin, Ireland.
  • Apprentissage de métrique pour la classification supervisée de données déséquilibrées
    Léo Gautheron, Amaury Habrard, Emilie Morvant, Marc Sebban
    Conférence sur l'Apprentissage automatique (CAp 2018), 2018, Rouen, France.
  • Adaptation de domaine pour la détection automatique du cancer de la prostate en imagerie IRM multiparamétrique
    Léo Gautheron, Ievgen Redko, Carole Lartizien
    XXVIème colloque GRETSI (GRETSI 2017), 2017, Juan-Les-Pins, France.
  • Domain adaptation using Optimal Transport: application to prostate cancer mapping
    Léo Gautheron
    Master’s thesis, 2017, University Jean Monnet, France.

Code & Software

The code associated with a publication can be found in the Publications section.
  • 2019 - Sudoku [link]
  • 2017 - A domain adaptation benchmark in Python3 [link]
  • 2017 - A web application in JavaScript for hand written digit recognition. [link]