Paul Garnier

According to our database, Paul Garnier authored at least 11 papers between 2019 and 2025.

Collaborative distances:

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

2025

Graph Deep Learning for Intracranial Aneurysm Blood Flow Simulation and Risk Assessment.

Paul Garnier, Pablo Jeken-Rico, Vincent Lannelongue, Chiara Faitini, Aurèle Goetz, Lea Chanvillard, Ramy Nemer, Jonathan Viquerat, Ugo Pelissier, Philippe Meliga, Jacques Sédat, Thomas Liebig, Yves Chau, Elie Hachem

CoRR, December, 2025

Curriculum Learning for Mesh-based simulations.

Paul Garnier, Vincent Lannelongue, Elie Hachem

CoRR, September, 2025

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis.

Clément Hervé, Paul Garnier, Jonathan Viquerat, Elie Hachem

CoRR, September, 2025

Automated discovery of finite volume schemes using Graph Neural Networks.

Paul Garnier, Jonathan Viquerat, Elie Hachem

CoRR, August, 2025

Training Transformers for Mesh-Based Simulations.

Paul Garnier, Vincent Lannelongue, Jonathan Viquerat, Elie Hachem

CoRR, August, 2025

Dragonfly: a modular deep reinforcement learning library.

Jonathan Viquerat, Paul Garnier, Amir-Hossein Bateni, Elie Hachem

CoRR, May, 2025

MeshMask: Physics-Based Simulations with Masked Graph Neural Networks.

Paul Garnier, Vincent Lannelongue, Jonathan Viquerat, Elie Hachem

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics.

Paul Garnier, Jonathan Viquerat, Elie Hachem

CoRR, 2024

Semi-Supervised Learning for Bilingual Lexicon Induction.

Paul Garnier, Gauthier Guinet

CoRR, 2024

2021

Evaluating Soccer Player: from Live Camera to Deep Reinforcement Learning.

Paul Garnier, Théophane Gregoir

CoRR, 2021

2019

A review on Deep Reinforcement Learning for Fluid Mechanics.

Paul Garnier, Jonathan Viquerat, Jean Rabault, Aurélien Larcher, Alexander Kuhnle, Elie Hachem

CoRR, 2019