Physics-Informed Machine Learning
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Related Publications
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A Bregman Proximal Viewpoint on Neural Operators,International Conference on Machine Learning (ICML), 2025.
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Apprentissage incrémental de l'opérateur de Koopman pour systèmes non-autonomes via prédiction conforme,Preprint, 2025.
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Using Signatures and Koopman operators to learn non-linear dynamics,Preprint, 2025.
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A Bilevel Optimization Framework for Training Bregman Neural Operators,Workshop - Fondements Mathématiques de l'IA, 2024.
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Bregman Neural Operators for Predicting Fluid Dynamics,Workshop - Machine Learning for Fluid Dynamics, 2024.
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Bregman Fourier Neural Operators,Conférence sur l'Apprentissage Automatique (CAp), 2024.
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Approximation Error of Sobolev Regular Functions with tanh Neural Networks - Theoretical Impact on PINNs,European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2024.
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Erreur d’approximation pour les fonctions Sobolev regulières avec des réseaux de reurones tanh - impact théorique sur les PINNs,Conférence sur l'Apprentissage Automatique (CAp), 2024.