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Mouadh Yagoubi
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2020 – today
- 2024
- [i9]Mouadh Yagoubi, Milad Leyli-Abadi, David Danan, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, Florent Bonnet, Asma Farjallah, Marc Schoenauer, Patrick Gallinari:
ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design). CoRR abs/2403.01623 (2024) - [i8]Mouadh Yagoubi, David Danan, Milad Leyli-Abadi, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, Florent Bonnet, Maroua Gmati, Asma Farjallah, Paola Cinnella, Patrick Gallinari, Marc Schoenauer:
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design. CoRR abs/2407.01641 (2024) - 2023
- [c8]Sara Yasmine Ouerk, Olivier Vo Van, Mouadh Yagoubi:
Rail Crack Propagation Forecasting Using Multi-horizons RNNs. AALTD@ECML/PKDD 2023: 260-275 - [c7]Mouadh Yagoubi, Hiba Bederina:
Surrogate-Assisted NSGA-II Algorithm for Expensive Multiobjective Optimization. GECCO Companion 2023: 431-434 - [i7]Wenzhuo Liu, Mouadh Yagoubi, Marc Schoenauer:
Meta-Learning for Airflow Simulations with Graph Neural Networks. CoRR abs/2306.10624 (2023) - [i6]Sara Yasmine Ouerk, Olivier Vo Van, Mouadh Yagoubi:
Rail Crack Propagation Forecasting Using Multi-horizons RNNs. CoRR abs/2309.01569 (2023) - [i5]Romain Barbedienne, Sara Yasmine Ouerk, Mouadh Yagoubi, Hassan Bouia, Aurelie Kaemmerlen, Benoit Charrier:
Hybrid data driven/thermal simulation model for comfort assessment. CoRR abs/2309.01734 (2023) - [i4]Emmanuel Menier, Sebastian Kaltenbach, Mouadh Yagoubi, Marc Schoenauer, Petros Koumoutsakos:
Interpretable learning of effective dynamics for multiscale systems. CoRR abs/2309.05812 (2023) - 2022
- [c6]Milad Leyli-Abadi, Antoine Marot, Jérôme Picault, David Danan, Mouadh Yagoubi, Benjamin Donnot, Seif Attoui, Pavel Dimitrov, Asma Farjallah, Clement Etienam:
LIPS - Learning Industrial Physical Simulation benchmark suite. NeurIPS 2022 - [i3]Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Marc Schoenauer:
CD-ROM: Complementary Deep-Reduced Order Model. CoRR abs/2202.10746 (2022) - [i2]Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Marc Schoenauer:
Continuous Methods : Hamiltonian Domain Translation. CoRR abs/2207.03843 (2022) - [i1]Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, Thibault Dairay, Raphaël Meunier, Marc Schoenauer:
Continuous Methods : Adaptively intrusive reduced order model closure. CoRR abs/2211.16999 (2022) - 2021
- [j1]Henri Sohier, Pascal Lamothe, Sahar Guermazi, Mouadh Yagoubi, Pascal Menegazzi, Aldo Maddaloni:
Improving simulation specification with MBSE for better simulation validation and reuse. Syst. Eng. 24(6): 425-438 (2021) - [c5]Wenzhuo Liu, Mouadh Yagoubi, Marc Schoenauer:
Multi-resolution Graph Neural Networks for PDE Approximation. ICANN (3) 2021: 151-163
2010 – 2019
- 2019
- [c4]Jean-Patrick Brunet, Henri Sohier, Mouadh Yagoubi, Mathieu Bisquay, Pascal Lamothe, Pascal Menegazzi:
Simulation Architecture Definition for Complex Systems Design: A Tooled Methodology. CSDM 2019: 153-163 - [c3]Henri Sohier, Sahar Guermazi, Mouadh Yagoubi, Pascal Lamothe, Aldo Maddaloni, Pascal Menegazzi, Yining Huang:
A Tooled Methodology for the System Architect's Needs in Simulation with Autonomous Driving Application. SysCon 2019: 1-8 - 2012
- [b1]Mouadh Yagoubi:
Optimisation évolutionnaire multi-objectif parallèle : application à la combustion Diesel. (Multi-objective parallel evolutionary algorithms : Application to Diesel Combustion). University of Paris-Sud, Orsay, France, 2012 - [c2]Mouadh Yagoubi, Marc Schoenauer:
Asynchronous master/slave moeas and heterogeneous evaluation costs. GECCO 2012: 1007-1014 - 2011
- [c1]Mouadh Yagoubi, Ludovic Thobois, Marc Schoenauer:
Asynchronous Evolutionary Multi-Objective Algorithms with heterogeneous evaluation costs. IEEE Congress on Evolutionary Computation 2011: 21-28
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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