Treatment of the Error due to Unresolved scales in Sequential Data Assimilation. - Alberto Carrassi; Stéphane Vannitsem (Int. J. Bifurc. Chaos, 2011)

Degenerate Kalman Filter Error Covariances and Their Convergence onto the Unstable Subspace. - Marc Bocquet; Karthik S. Gurumoorthy; Amit Apte; Alberto Carrassi; Colin Grudzien; Christopher K. R. T. Jones (SIAM/ASA J. Uncertain. Quantification, 2017)

Rank Deficiency of Kalman Error Covariance Matrices in Linear Time-Varying System With Deterministic Evolution. - Karthik S. Gurumoorthy; Colin Grudzien; Amit Apte; Alberto Carrassi; Christopher K. R. T. Jones (SIAM J. Control. Optim., 2017)

Asymptotic Forecast Uncertainty and the Unstable Subspace in the Presence of Additive Model Error. - Colin Grudzien; Alberto Carrassi; Marc Bocquet (SIAM/ASA J. Uncertain. Quantification, 2018)

Bayesian inference of dynamics from partial and noisy observations using data assimilation and machine learning. - Marc Bocquet; Julien Brajard; Alberto Carrassi; Laurent Bertino (CoRR, 2020)

Ensemble Kalman Filter for non-conservative moving mesh solvers with a joint physics and mesh location update. - Christian Sampson; Alberto Carrassi; Ali Aydogdu; Christopher K. R. T. Jones (CoRR, 2020)

Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model. - Julien Brajard; Alberto Carrassi; Marc Bocquet; Laurent Bertino (J. Comput. Sci., 2020)

Editorial: Data Assimilation of Nonlocal Observations in Complex Systems. - Axel Hutt; Marc Bocquet; Alberto Carrassi; L. Lei; Roland Potthast (Frontiers Appl. Math. Stat., 2021)

Assimilation of Backscatter Observations into a Hydrological Model: A Case Study in Belgium Using ASCAT Data. - Pierre Baguis; Alberto Carrassi; Emmanuel Roulin; Stéphane Vannitsem; Sara Modanesi; Hans Lievens; Michel Bechtold; Gabrielle De Lannoy (Remote. Sens., 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)

Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks. - Simon Driscoll; Alberto Carrassi; Julien Brajard; Laurent Bertino; Marc Bocquet; Einar Örn Ólason (J. Comput. Sci., 2024)

Ensemble Kalman filter in latent space using a variational autoencoder pair. - Ivo Pasmans; Yumeng Chen; Tobias Sebastian Finn; Marc Bocquet; Alberto Carrassi (CoRR, 2025)

Hybrid machine learning data assimilation for marine biogeochemistry. - Ieuan Higgs; Ross Bannister; Jozef Skákala; Alberto Carrassi; Stefano Ciavatta (CoRR, 2025)

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)