Alban Farchi - RankMe

13 papers Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments. CoRR Armand de Villeroché, Rem-Sophia Mouradi, Vincent Le Guen, Sibo Cheng, Marc Bocquet, Alban Farchi, Patrick Armand, Patrick Massin
2025	J	`jnl`	Generative AI models enable efficient and physically consistent sea-ice simulations. CoRR Tobias Sebastian Finn, Marc Bocquet, Pierre Rampal, Charlotte Durand, Flavia Porro, Alban Farchi, Alberto Carrassi
2024	J	`jnl`	Online model error correction with neural networks: application to the Integrated Forecasting System. CoRR Alban Farchi, Marcin Chrust, Marc Bocquet, Massimo Bonavita
2024	J	`jnl`	Towards diffusion models for large-scale sea-ice modelling. CoRR Tobias Sebastian Finn, Charlotte Durand, Alban Farchi, Marc Bocquet, Julien Brajard
2023	J	`jnl`	Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 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, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci
2023	J	`jnl`	Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR 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, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci
2022	J	`jnl`	Online model error correction with neural networks in the incremental 4D-Var framework. CoRR Alban Farchi, Marcin Chrust, Marc Bocquet, Patrick Laloyaux, Massimo Bonavita
2021	J	`jnl`	A comparison of combined data assimilation and machine learning methods for offline and online model error correction. CoRR Alban Farchi, Marc Bocquet, Patrick Laloyaux, Massimo Bonavita, Quentin Malartic
2021	J	`jnl`	A comparison of combined data assimilation and machine learning methods for offline and online model error correction. J. Comput. Sci. Alban Farchi, Marc Bocquet, Patrick Laloyaux, Massimo Bonavita, Quentin Malartic
2021	J	`jnl`	State, global and local parameter estimation using local ensemble Kalman filters: applications to online machine learning of chaotic dynamics. CoRR Quentin Malartic, Alban Farchi, Marc Bocquet
2020	J	`jnl`	Online learning of both state and dynamics using ensemble Kalman filters. CoRR Marc Bocquet, Alban Farchi, Quentin Malartic
2020	J	`jnl`	Using machine learning to correct model error in data assimilation and forecast applications. CoRR Alban Farchi, Patrick Laloyaux, Massimo Bonavita, Marc Bocquet
2019	J	`jnl`	On the Efficiency of Covariance Localisation of the Ensemble Kalman Filter Using Augmented Ensembles. Frontiers Appl. Math. Stat. Alban Farchi, Marc Bocquet