On the Efficiency of Covariance Localisation of the Ensemble Kalman Filter Using Augmented Ensembles. - Alban Farchi; Marc Bocquet (Frontiers Appl. Math. Stat., 2019)

Online learning of both state and dynamics using ensemble Kalman filters. - Marc Bocquet; Alban Farchi; Quentin Malartic (CoRR, 2020)

Using machine learning to correct model error in data assimilation and forecast applications. - Alban Farchi; Patrick Laloyaux; Massimo Bonavita; Marc Bocquet (CoRR, 2020)

State, global and local parameter estimation using local ensemble Kalman filters: applications to online machine learning of chaotic dynamics. - Quentin Malartic; Alban Farchi; Marc Bocquet (CoRR, 2021)

A comparison of combined data assimilation and machine learning methods for offline and online model error correction. - Alban Farchi; Marc Bocquet; Patrick Laloyaux; Massimo Bonavita; Quentin Malartic (J. Comput. Sci., 2021)

Online model error correction with neural networks in the incremental 4D-Var framework. - Alban Farchi; Marcin Chrust; Marc Bocquet; Patrick Laloyaux; Massimo Bonavita (CoRR, 2022)

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. - Sibo Cheng; César Quilodrán Casas; Said Ouala; Alban Farchi; Che Liu; Pierre Tandeo; Ronan Fablet; Didier Lucor; Bertrand Iooss; Julien Brajard; Dunhui Xiao; Tijana Janjic; et al. (IEEE CAA J. Autom. Sinica, 2023)

Online model error correction with neural networks: application to the Integrated Forecasting System. - Alban Farchi; Marcin Chrust; Marc Bocquet; Massimo Bonavita (CoRR, 2024)

Towards diffusion models for large-scale sea-ice modelling. - Tobias Sebastian Finn; Charlotte Durand; Alban Farchi; Marc Bocquet; Julien Brajard (CoRR, 2024)

Generative AI models enable efficient and physically consistent sea-ice simulations. - Tobias Sebastian Finn; Marc Bocquet; Pierre Rampal; Charlotte Durand; Flavia Porro; Alban Farchi; Alberto Carrassi (CoRR, 2025)