Hatem Hajri

According to our database, Hatem Hajri authored at least 26 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

2023

Neural Adversarial Attacks with Random Noises.

Hatem Hajri, Manon Césaire, Lucas Schott, Sylvain Lamprier, Patrick Gallinari

Int. J. Artif. Intell. Tools, August, 2023

A hyperbolic approach for learning communities on graphs.

Thomas Gerald, Hadi Zaatiti, Hatem Hajri, Nicolas Baskiotis, Olivier Schwander

Data Min. Knowl. Discov., May, 2023

Realization Theory of Recurrent Neural ODEs using Polynomial System Embeddings.

Martin Gonzalez, Thibault Defourneau, Hatem Hajri, Mihály Petreczky

Syst. Control. Lett., March, 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

SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models.

Martin Gonzalez, Nelson Fernandez Pinto, Thuy Tran, Elies Gherbi, Hatem Hajri, Nader Masmoudi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Riemannian data-dependent randomized smoothing for neural networks certification.

Pol Labarbarie, Hatem Hajri, Marc Arnaudon

CoRR, 2022

Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening.

Martin Gonzalez, Hatem Hajri, Loic Cantat, Mihály Petreczky

CoRR, 2022

Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network.

Lucas Schott, Hatem Hajri, Sylvain Lamprier

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

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

Lucas Schott, Manon Césaire, Hatem Hajri, Sylvain Lamprier

CoRR, 2021

Stochastic sparse adversarial attacks.

Manon Césaire, Lucas Schott, Hatem Hajri, Sylvain Lamprier, Patrick Gallinari

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020

Probabilistic Jacobian-Based Saliency Maps Attacks.

Théo Combey, António Loison, Maxime Faucher, Hatem Hajri

Mach. Learn. Knowl. Extr., 2020

Stochastic sparse adversarial attacks.

Hatem Hajri, Manon Césaire, Théo Combey, Sylvain Lamprier, Patrick Gallinari

CoRR, 2020

Probabilistic Jacobian-based Saliency Maps Attacks.

António Loison, Théo Combey, 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, Thomas Gerald, Paul Chauchat, Christian Shewmake, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec

CoRR, 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

A Practical Hands-on for Learning Graph Data Communities on Manifolds.

Thomas Gerald, Hadi Zaatiti, Hatem Hajri

Proceedings of the Geometric Structures of Statistical Physics, Information Geometry, and Learning, 2020

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, Niklas Koep, Yann Cabanes, Thomas Gerald, Paul Chauchat, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec

Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020

2019

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

Hatem Hajri, Hadi Zaatiti, Georges Hébrail

CoRR, 2019

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

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

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

2017

A geometric learning approach on the space of complex covariance matrices.

Hatem Hajri, Salem Said, Lionel Bombrun, Yannick Berthoumieu

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Maximum Likelihood Estimators on Manifolds.

Hatem Hajri, Salem Said, Yannick Berthoumieu

Proceedings of the Geometric Science of Information - Third International Conference, 2017

2016

Riemannian Laplace Distribution on the Space of Symmetric Positive Definite Matrices.

Hatem Hajri, Ioana Ilea, Salem Said, Lionel Bombrun, Yannick Berthoumieu

Entropy, 2016

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

Proceedings of the 24th European Signal Processing Conference, 2016