Olivier Bouët-Willaumez

100 %
Libre accès
2
Documents
Affiliation actuelle
  • Université Paris-Est Créteil - Laboratoire d’Algorithmique, Complexité et Logique (UPEC - LACL)
Contact

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

Deposit thumbnail

Sampling methods for probabilistic approximations of ODEs

Olivier Bouët-Willaumez , Adrien Le Coënt , Benoît Barbot , Nihal Pekergin

ROADEF 2026, 27ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Laboratoire d'Informatique Fondamentale et Appliquée de Tours (LIFAT), Feb 2026, Tours, France

Communication dans un congrès hal-05440887v2