Raphaël Meunier

According to our database1, Raphaël Meunier authored at least 13 papers between 2018 and 2025.

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

Timeline

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Links

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Bibliography

2025
Multi-Component VAE with Gaussian Markov Random Field.
CoRR, July, 2025

Deep Generative Methods and Tire Architecture Design.
CoRR, July, 2025

Geometry-aware framework for deep energy method: An application to structural mechanics with hyperelastic materials.
Comput. Phys. Commun., 2025

2024
A Markov Random Field Multi-Modal Variational AutoEncoder.
CoRR, 2024

Geometry-aware framework for deep energy method: an application to structural mechanics with hyperelastic materials.
CoRR, 2024

A Meta-VAE for Multi-component Industrial Systems Generation.
Proceedings of the Intelligent Computing, 2024

2023
Tracking Distributed Parameters System Dynamics with Recursive Dynamic Mode Decomposition with Control.
SIAM J. Appl. Dyn. Syst., March, 2023

A Meta-Generation framework for Industrial System Generation.
CoRR, 2023

Fixed-Budget Online Adaptive Learning for Physics-Informed Neural Networks. Towards Parameterized Problem Inference.
Proceedings of the Computational Science - ICCS 2023, 2023

2022
Physics-informed neural networks for non-Newtonian fluid thermo-mechanical problems: An application to rubber calendering process.
Eng. Appl. Artif. Intell., 2022

Fixed-budget online adaptive mesh learning for physics-informed neural networks. Towards parameterized problem inference.
CoRR, 2022

Continuous Methods : Adaptively intrusive reduced order model closure.
CoRR, 2022

2018
Classification of the fibronectin variants with curvelets.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018


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