Florent Bonnet

According to our database, Florent Bonnet authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

An operator preconditioning perspective on training in physics-informed machine learning.

Tim De Ryck, Florent Bonnet, Siddhartha Mishra, Emmanuel de Bézenac

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Graph Neural Networks for Airfoil Design.

Florent Bonnet

CoRR, 2023

2022

An extensible Benchmarking Graph-Mesh dataset for studying Steady-State Incompressible Navier-Stokes Equations.

Florent Bonnet, Jocelyn Ahmed Mazari, Thibaut Munzer, Pierre Yser, Patrick Gallinari

CoRR, 2022

AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions.

Florent Bonnet, Jocelyn Ahmed Mazari, Paola Cinnella, Patrick Gallinari

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022