CD-ROM: Complementary Deep-Reduced Order Model. - Emmanuel Menier; Michele Alessandro Bucci; Mouadh Yagoubi; Lionel Mathelin; Marc Schoenauer (CoRR, 2022)

Continuous Methods : Hamiltonian Domain Translation. - Emmanuel Menier; Michele Alessandro Bucci; Mouadh Yagoubi; Lionel Mathelin; Marc Schoenauer (CoRR, 2022)

Continuous Methods : Adaptively intrusive reduced order model closure. - Emmanuel Menier; Michele Alessandro Bucci; Mouadh Yagoubi; Lionel Mathelin; Thibault Dairay; Raphaël Meunier; Marc Schoenauer (CoRR, 2022)

Interpretable learning of effective dynamics for multiscale systems. - Emmanuel Menier; Sebastian Kaltenbach; Mouadh Yagoubi; Marc Schoenauer; Petros Koumoutsakos (CoRR, 2023)

Neural DDEs with Learnable Delays for Partially Observed Dynamical Systems. - Thibault Monsel; Emmanuel Menier; Onofrio Semeraro; Lionel Mathelin; Guillaume Charpiat (CoRR, 2024)

Deep Learning for Reduced Order Modeling. (Apprentissage machine pour la réduction de modèles). - Emmanuel Menier (2024)

Physics-Learning AI Datamodel (PLAID) datasets: a collection of physics simulations for machine learning. - Fabien Casenave; Xavier Roynard; Brian Staber; William Piat; Michele Alessandro Bucci; Nissrine Akkari; Abbas Kabalan; Xuan Minh Vuong Nguyen; Luca Saverio; Raphaël Carpintero Perez; Anthony Kalaydjian; Samy Fouché; et al. (CoRR, 2025)