DAN - An optimal Data Assimilation framework based on machine learning Recurrent Networks. - Pierre Boudier; Anthony Fillion; Serge Gratton; Selime Gürol (CoRR, 2020)

Latent Space Data Assimilation by using Deep Learning. - Mathis Peyron; Anthony Fillion; Selime Gürol; Victor Marchais; Serge Gratton; Pierre Boudier; Gaël Goret (CoRR, 2021)

A coarse space acceleration of deep-DDM. - Valentin Mercier; Serge Gratton; Pierre Boudier (CoRR, 2021)

Fully-fused Multi-Layer Perceptrons on Intel Data Center GPUs. - Kai Yuan; Christoph Bauinger; Xiangyi Zhang; Pascal Baehr; Matthias Kirchhart; Darius Dabert; Adrien Tousnakhoff; Pierre Boudier; Michael Paulitsch (CoRR, 2024)