Hatem Hajri | DeepAI

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Featured Co-authors

Patrick Gallinari
48 publications
Sylvain Lamprier
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Mihaly Petreczky
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Mohamed-Cherif Rahal
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Georges Hébrail
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Martin Gonzalez
4 publications
Nelson Fernandez
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Manon Césaire
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Théo Combey
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Lucas Schott
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Pol Labarbarie
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∙ 05/23/2023

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

A potent class of generative models known as Diffusion Probabilistic Mod...

0 Martin Gonzalez, et al. ∙

∙ 06/21/2022

Riemannian data-dependent randomized smoothing for neural networks certification

Certification of neural networks is an important and challenging problem...

22 Pol Labarbarie, et al. ∙

∙ 06/16/2022

Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening

We investigate the problems and challenges of evaluating the robustness ...

9 Martin Gonzalez, et al. ∙

∙ 05/24/2022

Realization Theory Of Recurrent Neural ODEs Using Polynomial System Embeddings

In this paper we show that neural ODE analogs of recurrent (ODE-RNN) and...

10 Martin Gonzalez, et al. ∙

∙ 04/07/2021

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

To improve policy robustness of deep reinforcement learning agents, a li...

42 Lucas Schott, et al. ∙

∙ 11/24/2020

Stochastic sparse adversarial attacks

Adversarial attacks of neural network classifiers (NNC) and the use of r...

13 Hatem Hajri, et al. ∙

∙ 07/12/2020

Probabilistic Jacobian-based Saliency Maps Attacks

Machine learning models have achieved spectacular performances in variou...

9 António Loison, et al. ∙

∙ 02/05/2020

FRSign: A Large-Scale Traffic Light Dataset for Autonomous Trains

In the realm of autonomous transportation, there have been many initiati...

15 Jeanine Harb, et al. ∙

∙ 07/02/2019

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

Recent literature has shown several benefits of hyperbolic embedding of ...

0 Hatem Hajri, et al. ∙

∙ 07/30/2018

Real Time Lidar and Radar High-Level Fusion for Obstacle Detection and Tracking with evaluation on a ground truth

- Both Lidars and Radars are sensors for obstacle detection. While Lidar...

0 Hatem Hajri, et al. ∙

∙ 07/16/2018

Automatic generation of ground truth for the evaluation of obstacle detection and tracking techniques

As automated vehicles are getting closer to becoming a reality, it will ...

0 Hatem Hajri, et al. ∙

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