Paul Garnier

According to our database1, Paul Garnier authored at least 13 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Mesh Based Simulations with Spatial and Temporal awareness.
CoRR, May, 2026

Physics constrained graph neural network for real time prediction of intracranial aneurysm hemodynamics.
npj Digit. Medicine, 2026

2025
Graph Deep Learning for Intracranial Aneurysm Blood Flow Simulation and Risk Assessment.
CoRR, December, 2025

Curriculum Learning for Mesh-based simulations.
CoRR, September, 2025

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis.
CoRR, September, 2025

Automated discovery of finite volume schemes using Graph Neural Networks.
CoRR, August, 2025

Training Transformers for Mesh-Based Simulations.
CoRR, August, 2025

Dragonfly: a modular deep reinforcement learning library.
CoRR, May, 2025

MeshMask: Physics-Based Simulations with Masked Graph Neural Networks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics.
CoRR, 2024

Semi-Supervised Learning for Bilingual Lexicon Induction.
CoRR, 2024

2021
Evaluating Soccer Player: from Live Camera to Deep Reinforcement Learning.
CoRR, 2021

2019
A review on Deep Reinforcement Learning for Fluid Mechanics.
CoRR, 2019


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