Conferences

Jordan Frecon, Gilles Gasso, Massimiliano Pontil, Saverio Salzo

Bregman Neural Networks

International Conference on Machine Learning (ICML), 17-23 July, 2022.

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Jordan Frecon, Lucas Anquetil, Yuan Liu, Gilles Gasso, Stéphane Canu

Adversarial Dictionary Learning

Preprint, under review, 2022.

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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.

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Jordan Frecon, Lucas Anquetil, Gilles Gasso, Stéphane Canu

Adversarial Dictionary Learning

Conférence sur l'Apprentissage Automatique (CAp), 14-15-16 June, 2021.

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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.

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Journals

Jordan Frecon, Gilles Gasso, Stéphane Canu

Semi-Universal Adversarial Perturbations

IEEE Transactions on Pattern Analysis and Machine Intelligence, under review, 2022.

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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.

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Invited Talks

Stéphane Canu

AI for driving - deep learning in autonomous vehicles

Séminaire du GdR IA, 02 February, Virtual, 2022.

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Stéphane Canu

Adversarial examples and robustness certificates

Assemblée générale 2021 du GdR ISIS, 17 June, Biarritz, 2021.

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Stéphane Canu, Ismaïla Seck, Gaelle Loosli

Adversarial examples and robustness certificates

SophI.A Summit, 18-19-20 November, Sophia Antipolis, 2020.

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ANR Project

Stéphane Canu

RAIMo - A road toward safe artificial intelligence in Mobility

ANR Project, 2020.

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