An M-estimator for robust centroid estimation on the manifold of covariance matrices: Performance analysis and application to image classification. - Ioana Ilea; Hatem Hajri; Salem Said; Lionel Bombrun; Christian Germain; Yannick Berthoumieu (EUSIPCO, 2016)

Riemannian Laplace Distribution on the Space of Symmetric Positive Definite Matrices. - Hatem Hajri; Ioana Ilea; Salem Said; Lionel Bombrun; Yannick Berthoumieu (Entropy, 2016)

Maximum Likelihood Estimators on Manifolds. - Hatem Hajri; Salem Said; Yannick Berthoumieu (GSI, 2017)

A geometric learning approach on the space of complex covariance matrices. - Hatem Hajri; Salem Said; Lionel Bombrun; Yannick Berthoumieu (ICASSP, 2017)

Automatic generation of ground truth for the evaluation of obstacle detection and tracking techniques. - Hatem Hajri; Emmanuel Doucet; Marc Revilloud; Lynda Halit; Benoît Lusetti; Mohamed-Cherif Rahal (CoRR, 2018)

Real Time Lidar and Radar High-Level Fusion for Obstacle Detection and Tracking with evaluation on a ground truth. - Hatem Hajri; Mohamed-Cherif Rahal (CoRR, 2018)

Gaussian Distributions on Riemannian Symmetric Spaces: Statistical Learning With Structured Covariance Matrices. - Salem Said; Hatem Hajri; Lionel Bombrun; Baba C. Vemuri (IEEE Trans. Inf. Theory, 2018)

Learning graph-structured data using Poincaré embeddings and Riemannian K-means algorithms. - Hatem Hajri; Hadi Zaatiti; Georges Hébrail (CoRR, 2019)

Introduction to Geometric Learning in Python with Geomstats. - Nina Miolane; Nicolas Guigui; Hadi Zaatiti; Christian Shewmake; Hatem Hajri; Daniel Brooks; Alice Le Brigant; Johan Mathe; Benjamin Hou; Yann Thanwerdas; Stefan Heyder; Olivier Peltre; et al. (SciPy, 2020)

A Practical Hands-on for Learning Graph Data Communities on Manifolds. - Thomas Gerald; Hadi Zaatiti; Hatem Hajri (SPIGL, 2020)

FRSign: A Large-Scale Traffic Light Dataset for Autonomous Trains. - Jeanine Harb; Nicolas Rébéna; Raphaël Chosidow; Grégoire Roblin; Roman Potarusov; Hatem Hajri (CoRR, 2020)

Geomstats: A Python Package for Riemannian Geometry in Machine Learning. - 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; et al. (CoRR, 2020)

Probabilistic Jacobian-based Saliency Maps Attacks. - António Loison; Théo Combey; Hatem Hajri (CoRR, 2020)

Stochastic sparse adversarial attacks. - Hatem Hajri; Manon Césaire; Théo Combey; Sylvain Lamprier; Patrick Gallinari (CoRR, 2020)

Probabilistic Jacobian-Based Saliency Maps Attacks. - Théo Combey; António Loison; Maxime Faucher; Hatem Hajri (Mach. Learn. Knowl. Extr., 2020)

Stochastic sparse adversarial attacks. - Manon Césaire; Lucas Schott; Hatem Hajri; Sylvain Lamprier; Patrick Gallinari (ICTAI, 2021)

Improving Robustness of Deep Reinforcement Learning Agents: Environment Attacks based on Critic Networks. - Lucas Schott; Manon Césaire; Hatem Hajri; Sylvain Lamprier (CoRR, 2021)

Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network. - Lucas Schott; Hatem Hajri; Sylvain Lamprier (IJCNN, 2022)

Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening. - Martin Gonzalez; Hatem Hajri; Loic Cantat; Mihály Petreczky (CoRR, 2022)

Riemannian data-dependent randomized smoothing for neural networks certification. - Pol Labarbarie; Hatem Hajri; Marc Arnaudon (CoRR, 2022)

SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models. - Martin Gonzalez; Nelson Fernandez; Thuy Tran; Elies Gherbi; Hatem Hajri; Nader Masmoudi (NeurIPS, 2023)

SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models. - Martin Gonzalez; Nelson Fernández; Thuy Tran; Elies Gherbi; Hatem Hajri; Nader Masmoudi (CoRR, 2023)

Realization Theory of Recurrent Neural ODEs using Polynomial System Embeddings. - Martin Gonzalez; Thibault Defourneau; Hatem Hajri; Mihály Petreczky (Syst. Control. Lett., 2023)

A hyperbolic approach for learning communities on graphs. - Thomas Gerald; Hadi Zaatiti; Hatem Hajri; Nicolas Baskiotis; Olivier Schwander (Data Min. Knowl. Discov., 2023)

Neural Adversarial Attacks with Random Noises. - Hatem Hajri; Manon Césaire; Lucas Schott; Sylvain Lamprier; Patrick Gallinari (Int. J. Artif. Intell. Tools, 2023)

Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey. - Lucas Schott; Joséphine Delas; Hatem Hajri; Elies Gherbi; Reda Yaich; Nora Boulahia-Cuppens; Frédéric Cuppens; Sylvain Lamprier (CoRR, 2024)

Real-time weather monitoring and desnowification through image purification. - Eliott Py; Elies Gherbi; Nelson Fernandez Pinto; Martin Gonzalez; Hatem Hajri (AI Ethics, 2024)