-
Florent Bonnet
- Doctorant
- Équipe: MLIA
Publications
- Mouadh Yagoubi, David Danan, Milad Leyli-Abadi, Jean-Patrick Brunet, Maroua Gmati, et al.. NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design. NeurIPS 2024 - 38th Annual Conference on Neural Information Processing Systems, Dec 2024, Vancouver, Canada. ⟨hal-04869170⟩
- Tim de Ryck, Florent Bonnet, Siddhartha Mishra, Emmanuel de Bézenac. An Operator Preconditionning Perspective on Training in Physics-Informed Machine Learning. International Conference on Learning Representation, May 2024, Vienna, Austria. ⟨hal-04677837⟩
-
Mouadh Yagoubi, Milad Leyli-Abadi, David Danan, Jean-Patrick Brunet, Jocelyn Ahmed Mazari, et al.. ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design). 2024. ⟨hal-04944072⟩
[ HTTP ]
- Florent Bonnet, Jocelyn Ahmed Mazari, Paola Cinella, Patrick Gallinari. AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions. 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks, Nov 2022, New Orleans, United States. ⟨hal-03806092v3⟩
- 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. ICLR 2022 Workshop on Geometrical and Topological Representation Learning, Apr 2022, In remote, France. ⟨hal-03709263⟩
