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ORCIDJocelyn Ahmed Mazari
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2020 – today
- 2025
[j1]Djamila Bouhata, Hamouma Moumen, Jocelyn Ahmed Mazari, Ahcène Bounceur:
Byzantine fault tolerance in distributed machine learning: a survey. J. Exp. Theor. Artif. Intell. 37(8): 1331-1389 (2025)- [c3]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:
ML4CFD Competition: Results and Retrospective Analysis. NeurIPS 2025 - [i8]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:
NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis. CoRR abs/2506.08516 (2025) - 2024
- [i7]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) - [i6]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
- [i5]Jocelyn Ahmed Mazari, Antoine Reverberi, Pierre Yser, Sebastian Sigmund:
Multi-Objective Hull Form Optimization with CAD Engine-based Deep Learning Physics for 3D Flow Prediction. CoRR abs/2306.12915 (2023) - [i4]Louis Serrano, Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari:
INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations. CoRR abs/2307.13538 (2023) - 2022
- [c2]Florent Bonnet, Jocelyn Ahmed Mazari, Paola Cinnella, Patrick Gallinari:
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions. NeurIPS 2022 - [c1]Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari:
Multi-Scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators. TAG-ML 2022: 332-340 - [i3]Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari:
Multi-scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators. CoRR abs/2206.14687 (2022) - [i2]Florent Bonnet, Jocelyn Ahmed Mazari, Thibaut Munzer, Pierre Yser, Patrick Gallinari:
An extensible Benchmarking Graph-Mesh dataset for studying Steady-State Incompressible Navier-Stokes Equations. CoRR abs/2206.14709 (2022) - [i1]Florent Bonnet, Jocelyn Ahmed Mazari, Paola Cinnella, Patrick Gallinari:
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions. CoRR abs/2212.07564 (2022)
Coauthor Index
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