Asynchronous Evolutionary Multi-Objective Algorithms with heterogeneous evaluation costs. - Mouadh Yagoubi; Ludovic Thobois; Marc Schoenauer (IEEE Congress on Evolutionary Computation, 2011)

Asynchronous master/slave moeas and heterogeneous evaluation costs. - Mouadh Yagoubi; Marc Schoenauer (GECCO, 2012)

Optimisation évolutionnaire multi-objectif parallèle : application à la combustion Diesel. (Multi-objective parallel evolutionary algorithms : Application to Diesel Combustion). - Mouadh Yagoubi (2012)

Simulation Architecture Definition for Complex Systems Design: A Tooled Methodology. - Jean-Patrick Brunet; Henri Sohier; Mouadh Yagoubi; Mathieu Bisquay; Pascal Lamothe; Pascal Menegazzi (CSDM, 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 (SysCon, 2019)

Multi-resolution Graph Neural Networks for PDE Approximation. - Wenzhuo Liu; Mouadh Yagoubi; Marc Schoenauer (ICANN (3), 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)

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 (NeurIPS, 2022)

CD-ROM: Complementary Deep-Reduced Order Model. - Emmanuel Menier; Michele Alessandro Bucci; Mouadh Yagoubi; Lionel Mathelin; Marc Schoenauer (CoRR, 2022)

Continuous Methods : Hamiltonian Domain Translation. - Emmanuel Menier; Michele Alessandro Bucci; Mouadh Yagoubi; Lionel Mathelin; Marc Schoenauer (CoRR, 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)

Rail Crack Propagation Forecasting Using Multi-horizons RNNs. - Sara Yasmine Ouerk; Olivier Vo Van; Mouadh Yagoubi (AALTD@ECML/PKDD, 2023)

Surrogate-Assisted NSGA-II Algorithm for Expensive Multiobjective Optimization. - Mouadh Yagoubi; Hiba Bederina (GECCO Companion, 2023)

Meta-Learning for Airflow Simulations with Graph Neural Networks. - Wenzhuo Liu; Mouadh Yagoubi; Marc Schoenauer (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)

Interpretable learning of effective dynamics for multiscale systems. - Emmanuel Menier; Sebastian Kaltenbach; Mouadh Yagoubi; Marc Schoenauer; Petros Koumoutsakos (CoRR, 2023)

Constrained Recurrent Bayesian Forecasting for Crack Propagation. - Sara Yasmine Ouerk; Olivier Vo Van; Mouadh Yagoubi (ICKG, 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)

NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design. - 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 (CoRR, 2024)

An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling. - Chetra Mang; Axel Tahmasebimoradi; David Danan; Mouadh Yagoubi (CoRR, 2025)

A new methodology to decompose a parametric domain using reduced order data manifold in machine learning. - Chetra Mang; Axel Tahmasebimoradi; Mouadh Yagoubi (CoRR, 2025)

NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language Models. - Mouadh Yagoubi; Yasser Dahou; Billel Mokeddem; Younes Belkada; Phuc H. Le-Khac; Basma El Amel Boussaha; Réda Alami; Jingwei Zuo; Damiano Marsili; Mugariya Farooq; Mounia Lalmas; Georgia Gkioxari; et al. (CoRR, 2025)

Feasibility Study of CNNs and MLPs for Radiation Heat Transfer in 2-D Furnaces with Spectrally Participative Gases. - Axel Tahmasebimoradi; Vincent Ren; Benjamin Le-Creurer; Chetra Mang; Mouadh Yagoubi (CoRR, 2025)

NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis. - Mouadh Yagoubi; David Danan; Milad Leyli-Abadi; Jocelyn Ahmed Mazari; Jean-Patrick Brunet; Abbas Kabalan; Fabien Casenave; Yuxin Ma; Giovanni Catalani; Jean Fesquet; Jacob Helwig; Xuan Zhang; et al. (CoRR, 2025)