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Hatem Hajri
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2020 – today
- 2024
- [j7]Eliott Py, Elies Gherbi, Nelson Fernandez Pinto, Martin Gonzalez, Hatem Hajri:
Real-time weather monitoring and desnowification through image purification. AI Ethics 4(1): 75-82 (2024) - [i13]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 abs/2403.00420 (2024) - 2023
- [j6]Thomas Gerald, Hadi Zaatiti, Hatem Hajri, Nicolas Baskiotis, Olivier Schwander:
A hyperbolic approach for learning communities on graphs. Data Min. Knowl. Discov. 37(3): 1090-1124 (2023) - [j5]Hatem Hajri, Manon Césaire, Lucas Schott, Sylvain Lamprier, Patrick Gallinari:
Neural Adversarial Attacks with Random Noises. Int. J. Artif. Intell. Tools 32(5): 2360010:1-2360010:22 (2023) - [j4]Martin Gonzalez, Thibault Defourneau, Hatem Hajri, Mihály Petreczky:
Realization Theory of Recurrent Neural ODEs using Polynomial System Embeddings. Syst. Control. Lett. 173: 105468 (2023) - [c8]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 - [i12]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 abs/2305.14267 (2023) - 2022
- [c7]Lucas Schott, Hatem Hajri, Sylvain Lamprier:
Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network. IJCNN 2022: 1-8 - [i11]Martin Gonzalez, Thibault Defourneau, Hatem Hajri, Mihály Petreczky:
Realization Theory Of Recurrent Neural ODEs Using Polynomial System Embeddings. CoRR abs/2205.11989 (2022) - [i10]Martin Gonzalez, Hatem Hajri, Loic Cantat, Mihály Petreczky:
Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening. CoRR abs/2206.08237 (2022) - [i9]Pol Labarbarie, Hatem Hajri, Marc Arnaudon:
Riemannian data-dependent randomized smoothing for neural networks certification. CoRR abs/2206.10235 (2022) - 2021
- [c6]Manon Césaire, Lucas Schott, Hatem Hajri, Sylvain Lamprier, Patrick Gallinari:
Stochastic sparse adversarial attacks. ICTAI 2021: 1247-1254 - [i8]Lucas Schott, Manon Césaire, Hatem Hajri, Sylvain Lamprier:
Improving Robustness of Deep Reinforcement Learning Agents: Environment Attacks based on Critic Networks. CoRR abs/2104.03154 (2021) - 2020
- [j3]Théo Combey, António Loison, Maxime Faucher, Hatem Hajri:
Probabilistic Jacobian-Based Saliency Maps Attacks. Mach. Learn. Knowl. Extr. 2(4): 558-578 (2020) - [c5]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: 48-57 - [c4]Thomas Gerald, Hadi Zaatiti, Hatem Hajri:
A Practical Hands-on for Learning Graph Data Communities on Manifolds. SPIGL 2020: 428-459 - [i7]Jeanine Harb, Nicolas Rébéna, Raphaël Chosidow, Grégoire Roblin, Roman Potarusov, Hatem Hajri:
FRSign: A Large-Scale Traffic Light Dataset for Autonomous Trains. CoRR abs/2002.05665 (2020) - [i6]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 abs/2004.04667 (2020) - [i5]António Loison, Théo Combey, Hatem Hajri:
Probabilistic Jacobian-based Saliency Maps Attacks. CoRR abs/2007.06032 (2020) - [i4]Hatem Hajri, Manon Césaire, Théo Combey, Sylvain Lamprier, Patrick Gallinari:
Stochastic sparse adversarial attacks. CoRR abs/2011.12423 (2020)
2010 – 2019
- 2019
- [i3]Hatem Hajri, Hadi Zaatiti, Georges Hébrail:
Learning graph-structured data using Poincaré embeddings and Riemannian K-means algorithms. CoRR abs/1907.01662 (2019) - 2018
- [j2]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): 752-772 (2018) - [i2]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 abs/1807.05722 (2018) - [i1]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 abs/1807.11264 (2018) - 2017
- [c3]Hatem Hajri, Salem Said, Yannick Berthoumieu:
Maximum Likelihood Estimators on Manifolds. GSI 2017: 692-700 - [c2]Hatem Hajri, Salem Said, Lionel Bombrun, Yannick Berthoumieu:
A geometric learning approach on the space of complex covariance matrices. ICASSP 2017: 2337-2341 - 2016
- [j1]Hatem Hajri, Ioana Ilea, Salem Said, Lionel Bombrun, Yannick Berthoumieu:
Riemannian Laplace Distribution on the Space of Symmetric Positive Definite Matrices. Entropy 18(3): 98 (2016) - [c1]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: 2196-2200
Coauthor Index
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last updated on 2025-01-09 13:09 CET by the dblp team
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