Paul Garnier

12 papers A* 1Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Automated discovery of finite volume schemes using Graph Neural Networks.
CoRR
Paul Garnier, Jonathan Viquerat, Elie Hachem
2025 J jnl
Curriculum Learning for Mesh-based simulations.
CoRR
Paul Garnier, Vincent Lannelongue, Elie Hachem
2025 J jnl
Dragonfly: a modular deep reinforcement learning library.
CoRR
Jonathan Viquerat, Paul Garnier, Amir-Hossein Bateni, Elie Hachem
2025 J jnl
Graph Deep Learning for Intracranial Aneurysm Blood Flow Simulation and Risk Assessment.
CoRR
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
2025 A* conf
MeshMask: Physics-Based Simulations with Masked Graph Neural Networks.
ICLR
Paul Garnier, Vincent Lannelongue, Jonathan Viquerat, Elie Hachem
2025 J jnl
MeshMask: Physics-Based Simulations with Masked Graph Neural Networks.
CoRR
Paul Garnier, Vincent Lannelongue, Jonathan Viquerat, Elie Hachem
2025 J jnl
TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis.
CoRR
Clément Hervé, Paul Garnier, Jonathan Viquerat, Elie Hachem
2025 J jnl
Training Transformers for Mesh-Based Simulations.
CoRR
Paul Garnier, Vincent Lannelongue, Jonathan Viquerat, Elie Hachem
2024 J jnl
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics.
CoRR
Paul Garnier, Jonathan Viquerat, Elie Hachem
2024 J jnl
Semi-Supervised Learning for Bilingual Lexicon Induction.
CoRR
Paul Garnier, Gauthier Guinet
2021 J jnl
Evaluating Soccer Player: from Live Camera to Deep Reinforcement Learning.
CoRR
Paul Garnier, Théophane Gregoir
2019 J jnl
A review on Deep Reinforcement Learning for Fluid Mechanics.
CoRR
Paul Garnier, Jonathan Viquerat, Jean Rabault, Aurélien Larcher, Alexander Kuhnle, Elie Hachem