Hatem Hajri

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 28

Top Topics

Reinforcement Learning

Diffusion Models

Obstacle Detection

Riemannian Manifolds

Top Venues

IEEE Trans. Inf. Theory

Publications

Eliott Py, Elies Gherbi, Nelson Fernandez Pinto, Martin Gonzalez, Hatem Hajri
Real-time weather monitoring and desnowification through image purification. AI Ethics 4 (1) (2024)
Lucas Schott, Joséphine Delas, Hatem Hajri, Elies Gherbi, Reda Yaich, Nora Boulahia-Cuppens, Frédéric Cuppens, Sylvain Lamprier
Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey. CoRR (2024)
Thomas Gerald, Hadi Zaatiti, Hatem Hajri, Nicolas Baskiotis, Olivier Schwander
A hyperbolic approach for learning communities on graphs. Data Min. Knowl. Discov. 37 (3) (2023)
Hatem Hajri, Manon Césaire, Lucas Schott, Sylvain Lamprier, Patrick Gallinari
Neural Adversarial Attacks with Random Noises. Int. J. Artif. Intell. Tools 32 (5) (2023)
Martin Gonzalez, Thibault Defourneau, Hatem Hajri, Mihály Petreczky
Realization Theory of Recurrent Neural ODEs using Polynomial System Embeddings. Syst. Control. Lett. 173 (2023)
Martin Gonzalez, Nelson Fernandez Pinto, Thuy Tran, Elies Gherbi, Hatem Hajri, Nader Masmoudi
SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models. NeurIPS (2023)
Martin Gonzalez, Nelson Fernández, Thuy Tran, Elies Gherbi, Hatem Hajri, Nader Masmoudi
SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models. CoRR (2023)
Martin Gonzalez, Thibault Defourneau, Hatem Hajri, Mihály Petreczky
Realization Theory Of Recurrent Neural ODEs Using Polynomial System Embeddings. CoRR (2022)
Lucas Schott, Hatem Hajri, Sylvain Lamprier
Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network. IJCNN (2022)
Pol Labarbarie, Hatem Hajri, Marc Arnaudon
Riemannian data-dependent randomized smoothing for neural networks certification. CoRR (2022)
Martin Gonzalez, Hatem Hajri, Loic Cantat, Mihály Petreczky
Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening. CoRR (2022)
Lucas Schott, Manon Césaire, Hatem Hajri, Sylvain Lamprier
Improving Robustness of Deep Reinforcement Learning Agents: Environment Attacks based on Critic Networks. CoRR (2021)
Manon Césaire, Lucas Schott, Hatem Hajri, Sylvain Lamprier, Patrick Gallinari
Stochastic sparse adversarial attacks. ICTAI (2021)
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
Introduction to Geometric Learning in Python with Geomstats. SciPy (2020)
Théo Combey, António Loison, Maxime Faucher, Hatem Hajri
Probabilistic Jacobian-Based Saliency Maps Attacks. Mach. Learn. Knowl. Extr. 2 (4) (2020)
Thomas Gerald, Hadi Zaatiti, Hatem Hajri
A Practical Hands-on for Learning Graph Data Communities on Manifolds. SPIGL (2020)
Hatem Hajri, Manon Césaire, Théo Combey, Sylvain Lamprier, Patrick Gallinari
Stochastic sparse adversarial attacks. CoRR (2020)
António Loison, Théo Combey, Hatem Hajri
Probabilistic Jacobian-based Saliency Maps Attacks. CoRR (2020)
Jeanine Harb, Nicolas Rébéna, Raphaël Chosidow, Grégoire Roblin, Roman Potarusov, Hatem Hajri
FRSign: A Large-Scale Traffic Light Dataset for Autonomous Trains. CoRR (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 P. Holmes, Xavier Pennec
Geomstats: A Python Package for Riemannian Geometry in Machine Learning. CoRR (2020)
Hatem Hajri, Hadi Zaatiti, Georges Hébrail
Learning graph-structured data using Poincaré embeddings and Riemannian K-means algorithms. CoRR (2019)
Salem Said, Hatem Hajri, Lionel Bombrun, Baba C. Vemuri
Gaussian Distributions on Riemannian Symmetric Spaces: Statistical Learning With Structured Covariance Matrices. IEEE Trans. Inf. Theory 64 (2) (2018)
Hatem Hajri, Emmanuel Doucet, Marc Revilloud, Lynda Halit, Benoît Lusetti, Mohamed-Cherif Rahal
Automatic generation of ground truth for the evaluation of obstacle detection and tracking techniques. CoRR (2018)
Hatem Hajri, Mohamed-Cherif Rahal
Real Time Lidar and Radar High-Level Fusion for Obstacle Detection and Tracking with evaluation on a ground truth. CoRR (2018)
Hatem Hajri, Salem Said, Lionel Bombrun, Yannick Berthoumieu
A geometric learning approach on the space of complex covariance matrices. ICASSP (2017)
Hatem Hajri, Salem Said, Yannick Berthoumieu
Maximum Likelihood Estimators on Manifolds. GSI (2017)
Hatem Hajri, Ioana Ilea, Salem Said, Lionel Bombrun, Yannick Berthoumieu
Riemannian Laplace Distribution on the Space of Symmetric Positive Definite Matrices. Entropy 18 (3) (2016)
Ioana Ilea, Hatem Hajri, Salem Said, Lionel Bombrun, Christian Germain, Yannick Berthoumieu
An M-estimator for robust centroid estimation on the manifold of covariance matrices: Performance analysis and application to image classification. EUSIPCO (2016)