Marc Sebban has been a professor of Computer Science at Jean Monnet University (UJM), Saint-Etienne, since 2002. He graduated with a Master of Science degree in Statistics (1992) and a Master of Computer Science degree (ENS Lyon, 1994). He defended his PhD thesis in Machine Learning in 1996. He is today the deputy director of the Hubert Curien laboratory and the coordinator of the international master programme in Machine Learning and Data Mining - MLDM (MSc in Computer Science).


  • Statistics and Probabilities – (BSc. in Computer Science)
  • Data Analysis (MLDM)
  • Introduction to Machine Learning (MLDM)
  • Advanced Machine Learning (MLDM)

  • Tanguy Kerdoncuff, Michaël Perrot, Rémi Emonet, Marc Sebban, Optimal Tensor Transport. AAAI (2022)
  • Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban: Sampled Gromov Wasserstein. Mach. Learn. 110(8): 2151-2186 (2021)
  • Léo Gautheron, Amaury Habrard, Emilie Morvant, Marc Sebban: Metric Learning from Imbalanced Data with Generalization Guarantees. Pattern Recognit. Lett. 133: 298-304 (2020)
  • Sofien Dhouib, Ievgen Redko, Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban: A Swiss Army Knife for Minimax Optimal Transport, ICML 2020.
  • Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban: Metric Learning in Optimal Transport for Domain Adaptation. IJCAI 2020, 2162-2168
  • Valentina Zantedeschi, Rémi Emonet, Marc Sebban: Beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data. NIPS 2016: 4358-4366
  • Aurélien Bellet, Amaury Habrard, Marc Sebban: Metric Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2015
  • Basura Fernando, Amaury Habrard, Marc Sebban, Tinne Tuytelaars: Unsupervised Visual Domain Adaptation Using Subspace Alignment. ICCV 2013: 2960-2967
  • Aurélien Bellet, Amaury Habrard, Marc Sebban: Similarity Learning for Provably Accurate Sparse Linear Classification. ICML 2012
  • Marc Sebban, Richard Nock: A hybrid filter/wrapper approach of feature selection using information theory. Pattern Recognit. 35(4): 835-846 (2002)

  • FRERY, Jordan; HABRARD, Amaury; SEBBAN, Marc; GUELTON, Liyun; CAELEN, Olivier. Detection by machine learning of anomalies in a set of banking transactions by optimization of the average precision. WO/2018/167404. 20.09.2018 (French patent). (Wordline, CNRS, UJM).