Conferences

  1. Jordan Frecon, Gilles Gasso, Massimiliano Pontil, Saverio Salzo
    Bregman Neural Networks
    International Conference on Machine Learning (ICML), 17-23 July, 2022.
  2. Jordan Frecon, Lucas Anquetil, Yuan Liu, Gilles Gasso, Stéphane Canu
    Adversarial Dictionary Learning
    Preprint, under review, 2022.
  3. Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso
    Unbalanced Optimal Transport through Non-negative Penalized Linear Regression
    International Conference on Neural Information Processing Systems (NeurIPS), 06-14 December, 2021.
  4. Jordan Frecon, Lucas Anquetil, Gilles Gasso, Stéphane Canu
    Adversarial Dictionary Learning
    Conférence sur l'Apprentissage Automatique (CAp), 14-15-16 June, 2021.
  5. Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso
    Partial Optimal Tranport with applications on Positive-Unlabeled Learning
    International Conference on Neural Information Processing Systems (NeurIPS), 06-12 December, 2020.

Journals

  1. Jordan Frecon, Gilles Gasso, Stéphane Canu
    Semi-Universal Adversarial Perturbations
    IEEE Transactions on Pattern Analysis and Machine Intelligence, under review, 2022.
  2. Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Mokhtar Z. Alaya, Maxime Berar, Nicolas Courty
    Optimal Transport for Conditional Domain Matching and Label Shift
    Machine Learning, pages 1-20, 2021.

Invited Talks

  1. Stéphane Canu
    AI for driving - deep learning in autonomous vehicles
    Séminaire du GdR IA, 02 February, Virtual, 2022.
  2. Stéphane Canu
    Adversarial examples and robustness certificates
    Assemblée générale 2021 du GdR ISIS, 17 June, Biarritz, 2021.
  3. Stéphane Canu, Ismaïla Seck, Gaelle Loosli
    Adversarial examples and robustness certificates
    SophI.A Summit, 18-19-20 November, Sophia Antipolis, 2020.

ANR Project

  1. Stéphane Canu
    RAIMo - A road toward safe artificial intelligence in Mobility
    ANR Project, 2020.