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Improving Robustness of Deep Reinforcement Learning Agents: Environment Attacks based on Critic Networks

Apr 07, 2021
Lucas Schott, Manon CĂ©saire, Hatem Hajri, Sylvain Lamprier

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Stochastic sparse adversarial attacks

Nov 24, 2020
Hatem Hajri, Manon Césaire, Théo Combey, Sylvain Lamprier, Patrick Gallinari

* 19 pages 

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Probabilistic Jacobian-based Saliency Maps Attacks

Jul 12, 2020
António Loison, Théo Combey, Hatem Hajri

* 21 pages 

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Geomstats: A Python Package for Riemannian Geometry in Machine Learning

Apr 07, 2020
Nina Miolane, Alice Le Brigant, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Bernhard Kainz, Claire Donnat, Susan Holmes, Xavier Pennec

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FRSign: A Large-Scale Traffic Light Dataset for Autonomous Trains

Feb 05, 2020
Jeanine Harb, Nicolas Rébéna, Raphaël Chosidow, Grégoire Roblin, Roman Potarusov, Hatem Hajri

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Learning graph-structured data using Poincaré embeddings and Riemannian K-means algorithms

Jul 02, 2019
Hatem Hajri, Hadi Zaatiti, Georges Hebrail

* First version. The package generating the experimental results will be made public in the near future 

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Real Time Lidar and Radar High-Level Fusion for Obstacle Detection and Tracking with evaluation on a ground truth

Jul 30, 2018
Hatem Hajri, Mohamed-Cherif Rahal

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Automatic generation of ground truth for the evaluation of obstacle detection and tracking techniques

Jul 16, 2018
Hatem Hajri, Emmanuel Doucet, Marc Revilloud, Lynda Halit, Benoît Lusetti, Mohamed-Cherif Rahal

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