Hatem Hajri - RankMe

30 papers A* 1B 2Misc 1Journal 22Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reward-Preserving Attacks For Robust Reinforcement Learning. CoRR Lucas Schott, Elies Gherbi, Hatem Hajri, Sylvain Lamprier
2025	J	`jnl`	Towards stable AI systems for Evaluating Arabic Pronunciations. CoRR Hadi Zaatiti, Hatem Hajri, Osama Abdullah, Nader Masmoudi
2024	J	`jnl`	Real-time weather monitoring and desnowification through image purification. AI Ethics Eliott Py, Elies Gherbi, Nelson Fernandez Pinto, Martin Gonzalez, Hatem Hajri
2024	J	`jnl`	Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey. CoRR Lucas Schott, Joséphine Delas, Hatem Hajri, Elies Gherbi, Reda Yaich, Nora Boulahia-Cuppens, Frédéric Cuppens, Sylvain Lamprier
2023	J	`jnl`	A hyperbolic approach for learning communities on graphs. Data Min. Knowl. Discov. Thomas Gerald, Hadi Zaatiti, Hatem Hajri, Nicolas Baskiotis, Olivier Schwander
2023	J	`jnl`	Neural Adversarial Attacks with Random Noises. Int. J. Artif. Intell. Tools Hatem Hajri, Manon Césaire, Lucas Schott, Sylvain Lamprier, Patrick Gallinari
2023	J	`jnl`	Realization Theory of Recurrent Neural ODEs using Polynomial System Embeddings. Syst. Control. Lett. Martin Gonzalez, Thibault Defourneau, Hatem Hajri, Mihály Petreczky
2023	A*	`conf`	SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models. NeurIPS Martin Gonzalez, Nelson Fernandez, Thuy Tran, Elies Gherbi, Hatem Hajri, Nader Masmoudi
2023	J	`jnl`	SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models. CoRR Martin Gonzalez, Nelson Fernández, Thuy Tran, Elies Gherbi, Hatem Hajri, Nader Masmoudi
2022	B	`conf`	Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network. IJCNN Lucas Schott, Hatem Hajri, Sylvain Lamprier
2022	J	`jnl`	Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening. CoRR Martin Gonzalez, Hatem Hajri, Loic Cantat, Mihály Petreczky
2022	J	`jnl`	Realization Theory Of Recurrent Neural ODEs Using Polynomial System Embeddings. CoRR Martin Gonzalez, Thibault Defourneau, Hatem Hajri, Mihály Petreczky
2022	J	`jnl`	Riemannian data-dependent randomized smoothing for neural networks certification. CoRR Pol Labarbarie, Hatem Hajri, Marc Arnaudon
2021	J	`jnl`	Improving Robustness of Deep Reinforcement Learning Agents: Environment Attacks based on Critic Networks. CoRR Lucas Schott, Manon Césaire, Hatem Hajri, Sylvain Lamprier
2021	B	`conf`	Stochastic sparse adversarial attacks. ICTAI Manon Césaire, Lucas Schott, Hatem Hajri, Sylvain Lamprier, Patrick Gallinari
2020	—	`conf`	A Practical Hands-on for Learning Graph Data Communities on Manifolds. SPIGL Thomas Gerald, Hadi Zaatiti, Hatem Hajri
2020	J	`jnl`	FRSign: A Large-Scale Traffic Light Dataset for Autonomous Trains. CoRR Jeanine Harb, Nicolas Rébéna, Raphaël Chosidow, Grégoire Roblin, Roman Potarusov, Hatem Hajri
2020	J	`jnl`	Geomstats: A Python Package for Riemannian Geometry in Machine Learning. CoRR 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 P. Holmes, Xavier Pennec
2020	—	`conf`	Introduction to Geometric Learning in Python with Geomstats. SciPy 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, Niklas Koep, Yann Cabanes, Thomas Gerald, Paul Chauchat, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec
2020	J	`jnl`	Probabilistic Jacobian-Based Saliency Maps Attacks. Mach. Learn. Knowl. Extr. Théo Combey, António Loison, Maxime Faucher, Hatem Hajri
2020	J	`jnl`	Probabilistic Jacobian-based Saliency Maps Attacks. CoRR António Loison, Théo Combey, Hatem Hajri
2020	J	`jnl`	Stochastic sparse adversarial attacks. CoRR Hatem Hajri, Manon Césaire, Théo Combey, Sylvain Lamprier, Patrick Gallinari
2019	J	`jnl`	Learning graph-structured data using Poincaré embeddings and Riemannian K-means algorithms. CoRR Hatem Hajri, Hadi Zaatiti, Georges Hébrail
2018	J	`jnl`	Automatic generation of ground truth for the evaluation of obstacle detection and tracking techniques. CoRR Hatem Hajri, Emmanuel Doucet, Marc Revilloud, Lynda Halit, Benoît Lusetti, Mohamed-Cherif Rahal
2018	J	`jnl`	Gaussian Distributions on Riemannian Symmetric Spaces: Statistical Learning With Structured Covariance Matrices. IEEE Trans. Inf. Theory Salem Said, Hatem Hajri, Lionel Bombrun, Baba C. Vemuri
2018	J	`jnl`	Real Time Lidar and Radar High-Level Fusion for Obstacle Detection and Tracking with evaluation on a ground truth. CoRR Hatem Hajri, Mohamed-Cherif Rahal
2017	Misc	`conf`	A geometric learning approach on the space of complex covariance matrices. ICASSP Hatem Hajri, Salem Said, Lionel Bombrun, Yannick Berthoumieu
2017	—	`conf`	Maximum Likelihood Estimators on Manifolds. GSI Hatem Hajri, Salem Said, Yannick Berthoumieu
2016	—	`conf`	An M-estimator for robust centroid estimation on the manifold of covariance matrices: Performance analysis and application to image classification. EUSIPCO Ioana Ilea, Hatem Hajri, Salem Said, Lionel Bombrun, Christian Germain, Yannick Berthoumieu
2016	J	`jnl`	Riemannian Laplace Distribution on the Space of Symmetric Positive Definite Matrices. Entropy Hatem Hajri, Ioana Ilea, Salem Said, Lionel Bombrun, Yannick Berthoumieu