Author

Matthieu Barreau

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#machine learning Preprint Oct 2026

Learning Traffic Flow Dynamics with Stochastic Physics-Informed Neural Cellular Automata

Traffic flow modeling is essential for understanding and predicting the collective dynamics of vehicles on road networks. Cellular automata provide a simple, interpretable yet powerful framework for representing these dynamics via local interaction rules, while retaining the ability to reproduce complex macroscopic tra...

Federica Bragone, Matthieu Barreau · 0 citations

Preprint Aug 2026

Alternating Levenberg-Marquardt Training of Physics-Informed Neural Networks with Fourier-Enhanced Features

This work proposes the Fourier-enhanced alternating Levenberg--Marquardt PINN (FALM-PINN), an optimization framework that decouples representation learning from coefficient fitting within a single nonconvex optimization objective.

Yu-Lun Wu, Matthieu Barreau, Miguel Aguiar et al. · 0 citations