Olivier Bouët-Willaumez
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Libre accès
2
Documents
Affiliation actuelle
- Université Paris-Est Créteil - Laboratoire d’Algorithmique, Complexité et Logique (UPEC - LACL)
Identifiants chercheurs
Site web
Présentation
I am currently a PhD student in Computer Science at the Laboratory of Algorithmics, Complexity, and Logic (LACL) at Université Paris-Est Créteil Val de Marne. My PhD thesis is titled: Machine Learning for Continuous Systems Based on Probabilistic Approximations. I began my PhD on October 1, 2024, under the supervision of Nihal Pekergin, Benoît Barbot, and Adrien Le Coënt. Before that, I completed a Master’s degree in Mathematics, Modeling, and Statistical Learning (MMAS) at Université Paris Cité. During this time, I also completed a six-month internship at Dassault Systèmes, where I worked on deep Gaussian processes for multi-fidelity simulation.
Domaines de recherche
Informatique [cs]
Compétences
Machine Learning
Differential Equations (ODE, PDE, SDE)
Bayesian Networks
Markov Chains
Publications
Publications
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Sampling methods for probabilistic approximations of ODEs2026 |
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Conservation Analysis and Discrete Probabilistic Approximations for Parameter Estimation of Biochemical Networks2025 |
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