Jocelyn Ahmed Mazari

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Graph Representations

Differential Operators

Machine Learning

Top Venues

Publications

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 (2024)
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 (2024)
Louis Serrano, Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari
INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations. CoRR (2023)
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 (2023)
Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari
Multi-Scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators. TAG-ML (2022)
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 (2022)
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)
Florent Bonnet, Jocelyn Ahmed Mazari, Paola Cinnella, Patrick Gallinari
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions. CoRR (2022)
Léon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari
Multi-scale Physical Representations for Approximating PDE Solutions with Graph Neural Operators. CoRR (2022)