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

An Iterative Ensemble Kalman Smoother in Presence of Additive Model Error. - Anthony Fillion; Marc Bocquet; Serge Gratton; Selime Gürol; Pavel Sakov (SIAM/ASA J. Uncertain. Quantification, 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 bayesian variational principle for dynamic self organizing maps. - Anthony Fillion; Thibaut Kulak; François Blayo (ESANN, 2022)

A Unified View on Self-Organizing Maps (SOMs) and Stochastic Neighbor Embedding (SNE). - Thibaut Kulak; Anthony Fillion; François Blayo (ICANN (2), 2022)