P. Meliga

According to our database, P. Meliga authored at least 7 papers between 2019 and 2026.

Collaborative distances:

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

2026

Multiphysics learning with graph neural networks for thrombosis prediction in intracranial aneurysms.

Ugo Pelissier, Philippe Meliga, Elie Hachem

Comput. Biol. Medicine, 2026

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

2024

Beacon, a lightweight deep reinforcement learning benchmark library for flow control.

Jonathan Viquerat, Philippe Meliga, Pablo Jeken, Elie Hachem

CoRR, 2024

2023

Policy-based optimization: single-step policy gradient method seen as an evolution strategy.

Jonathan Viquerat, Régis Duvigneau, P. Meliga, Alexander Kuhnle, Elie Hachem

Neural Comput. Appl., 2023

2021

Deep reinforcement learning for the control of conjugate heat transfer.

Elie Hachem, Hassan Ghraieb, Jonathan Viquerat, Aurélien Larcher, P. Meliga

J. Comput. Phys., 2021

2020

Optimization and passive flow control using single-step deep reinforcement learning.

Hassan Ghraieb, Jonathan Viquerat, Aurélien Larcher, P. Meliga, Elie Hachem

CoRR, 2020

2019

Time-accurate calculation and bifurcation analysis of the incompressible flow over a square cavity using variational multiscale modeling.

P. Meliga, Elie Hachem

J. Comput. Phys., 2019