Jocelyn Ahmed Mazari

11 papers A* 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Byzantine fault tolerance in distributed machine learning: a survey.
J. Exp. Theor. Artif. Intell.
Djamila Bouhata, Hamouma Moumen, Jocelyn Ahmed Mazari, Ahcène Bounceur
2025 J jnl
NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis.
CoRR
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, Haiyang Yu, Xavier Bertrand, Frederic Tost, Michael Bauerheim, Joseph Morlier, Shuiwang Ji
2024 J jnl
ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design).
CoRR
Mouadh Yagoubi, Milad Leyli-Abadi, David Danan, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, Florent Bonnet, Asma Farjallah, Marc Schoenauer, Patrick Gallinari
2024 J jnl
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design.
CoRR
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
2023 J jnl
INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations.
CoRR
Louis Serrano, Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari
2023 J jnl
Multi-Objective Hull Form Optimization with CAD Engine-based Deep Learning Physics for 3D Flow Prediction.
CoRR
Jocelyn Ahmed Mazari, Antoine Reverberi, Pierre Yser, Sebastian Sigmund
2022 A* conf
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions.
NeurIPS
Florent Bonnet, Jocelyn Ahmed Mazari, Paola Cinnella, Patrick Gallinari
2022 J jnl
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions.
CoRR
Florent Bonnet, Jocelyn Ahmed Mazari, Paola Cinnella, Patrick Gallinari
2022 J jnl
An extensible Benchmarking Graph-Mesh dataset for studying Steady-State Incompressible Navier-Stokes Equations.
CoRR
Florent Bonnet, Jocelyn Ahmed Mazari, Thibaut Munzer, Pierre Yser, Patrick Gallinari
2022 — conf
Multi-Scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators.
TAG-ML
Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari
2022 J jnl
Multi-scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators.
CoRR
Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari