Mouadh Yagoubi

According to our database, Mouadh Yagoubi authored at least 17 papers between 2011 and 2024.

Collaborative distances:

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

2024

ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design).

Mouadh Yagoubi, Milad Leyli-Abadi, David Danan, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, Florent Bonnet, Asma Farjallah, Marc Schoenauer, Patrick Gallinari

CoRR, 2024

2023

Interpretable learning of effective dynamics for multiscale systems.

Emmanuel Menier, Sebastian Kaltenbach, Mouadh Yagoubi, Marc Schoenauer, Petros Koumoutsakos

CoRR, 2023

Hybrid data driven/thermal simulation model for comfort assessment.

Romain Barbedienne, Sara Yasmine Ouerk, Mouadh Yagoubi, Hassan Bouia, Aurelie Kaemmerlen, Benoit Charrier

CoRR, 2023

Meta-Learning for Airflow Simulations with Graph Neural Networks.

Wenzhuo Liu, Mouadh Yagoubi, Marc Schoenauer

CoRR, 2023

Surrogate-Assisted NSGA-II Algorithm for Expensive Multiobjective Optimization.

Mouadh Yagoubi, Hiba Bederina

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Rail Crack Propagation Forecasting Using Multi-horizons RNNs.

Sara Yasmine Ouerk, Olivier Vo Van, Mouadh Yagoubi

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022

Continuous Methods : Adaptively intrusive reduced order model closure.

Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Thibault Dairay, Raphaël Meunier, Marc Schoenauer

CoRR, 2022

Continuous Methods : Hamiltonian Domain Translation.

Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Marc Schoenauer

CoRR, 2022

CD-ROM: Complementary Deep-Reduced Order Model.

Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Marc Schoenauer

CoRR, 2022

LIPS - Learning Industrial Physical Simulation benchmark suite.

Milad Leyli-Abadi, Antoine Marot, Jérôme Picault, David Danan, Mouadh Yagoubi, Benjamin Donnot, Seif Attoui, Pavel Dimitrov, Asma Farjallah, Clement Etienam

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Improving simulation specification with MBSE for better simulation validation and reuse.

Henri Sohier, Pascal Lamothe, Sahar Guermazi, Mouadh Yagoubi, Pascal Menegazzi, Aldo Maddaloni

Syst. Eng., 2021

Multi-resolution Graph Neural Networks for PDE Approximation.

Wenzhuo Liu, Mouadh Yagoubi, Marc Schoenauer

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2019

A Tooled Methodology for the System Architect's Needs in Simulation with Autonomous Driving Application.

Henri Sohier, Sahar Guermazi, Mouadh Yagoubi, Pascal Lamothe, Aldo Maddaloni, Pascal Menegazzi, Yining Huang

Proceedings of the 2019 IEEE International Systems Conference, 2019

Simulation Architecture Definition for Complex Systems Design: A Tooled Methodology.

Jean-Patrick Brunet, Henri Sohier, Mouadh Yagoubi, Mathieu Bisquay, Pascal Lamothe, Pascal Menegazzi

Proceedings of the Tenth International Conference on Complex Systems Design & Management, 2019

2012

Optimisation évolutionnaire multi-objectif parallèle : application à la combustion Diesel. (Multi-objective parallel evolutionary algorithms : Application to Diesel Combustion).

Mouadh Yagoubi

PhD thesis, 2012

Asynchronous master/slave moeas and heterogeneous evaluation costs.

Mouadh Yagoubi, Marc Schoenauer

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Asynchronous Evolutionary Multi-Objective Algorithms with heterogeneous evaluation costs.

Mouadh Yagoubi, Ludovic Thobois, Marc Schoenauer

Proceedings of the IEEE Congress on Evolutionary Computation, 2011