Jonathan Viquerat

23 papers A* 1Journal 22

Year	Rank	Type	Title / 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`	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`	Beacon, a lightweight deep reinforcement learning benchmark library for flow control. CoRR Jonathan Viquerat, Philippe Meliga, Pablo Jeken, Elie Hachem
2024	J	`jnl`	Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics. CoRR Paul Garnier, Jonathan Viquerat, Elie Hachem
2023	J	`jnl`	Parallel bootstrap-based on-policy deep reinforcement learning for continuous flow control applications. CoRR Jonathan Viquerat, Elie Hachem
2023	J	`jnl`	Policy-based optimization: single-step policy gradient method seen as an evolution strategy. Neural Comput. Appl. Jonathan Viquerat, Régis Duvigneau, P. Meliga, Alexander Kuhnle, Elie Hachem
2022	J	`jnl`	A twin-decoder structure for incompressible laminar flow reconstruction with uncertainty estimation around 2D obstacles. Neural Comput. Appl. J. Chen, Jonathan Viquerat, F. Heymes, Elie Hachem
2022	J	`jnl`	Dynamic metasurface control using Deep Reinforcement Learning. Math. Comput. Simul. Ying Zhao, Liang Li, Stéphane Lanteri, Jonathan Viquerat
2021	J	`jnl`	Deep reinforcement learning for the control of conjugate heat transfer. J. Comput. Phys. Elie Hachem, Hassan Ghraieb, Jonathan Viquerat, Aurélien Larcher, P. Meliga
2021	J	`jnl`	Direct shape optimization through deep reinforcement learning. J. Comput. Phys. Jonathan Viquerat, Jean Rabault, Alexander Kuhnle, Hassan Ghraieb, Aurélien Larcher, Elie Hachem
2020	J	`jnl`	Optimization and passive flow control using single-step deep reinforcement learning. CoRR Hassan Ghraieb, Jonathan Viquerat, Aurélien Larcher, P. Meliga, Elie Hachem
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
2019	J	`jnl`	Direct shape optimization through deep reinforcement learning. CoRR Jonathan Viquerat, Jean Rabault, Alexander Kuhnle, Hassan Ghraieb, Elie Hachem
2018	J	`jnl`	Simulation of three-dimensional nanoscale light interaction with spatially dispersive metals using a high order curvilinear DGTD method. J. Comput. Phys. Nikolai Schmitt, Claire Scheid, Jonathan Viquerat, Stéphane Lanteri
2017	J	`jnl`	Analysis of a Generalized Dispersive Model Coupled to a DGTD Method with Application to Nanophotonics. SIAM J. Sci. Comput. Stéphane Lanteri, Claire Scheid, Jonathan Viquerat
2016	J	`jnl`	A DGTD method for the numerical modeling of the interaction of light with nanometer scale metallic structures taking into account non-local dispersion effects. J. Comput. Phys. Nikolai Schmitt, Claire Scheid, Stéphane Lanteri, Antoine Moreau, Jonathan Viquerat
2015	J	`jnl`	A 3D curvilinear discontinuous Galerkin time-domain solver for nanoscale light-matter interactions. J. Comput. Appl. Math. Jonathan Viquerat, Claire Scheid
2014	J	`jnl`	A parallel non-conforming multi-element DGTD method for the simulation of electromagnetic wave interaction with metallic nanoparticles. J. Comput. Appl. Math. Raphaël Léger, Jonathan Viquerat, Clément Durochat, Claire Scheid, Stéphane Lanteri