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ORCIDAlberto Carrassi
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2020 – today
- 2025
[i6]Ivo Pasmans, Yumeng Chen, Tobias Sebastian Finn, Marc Bocquet, Alberto Carrassi:
Ensemble Kalman filter in latent space using a variational autoencoder pair. CoRR abs/2502.12987 (2025)- [i5]Ieuan Higgs, Ross Bannister, Jozef Skákala, Alberto Carrassi, Stefano Ciavatta:
Hybrid machine learning data assimilation for marine biogeochemistry. CoRR abs/2504.05218 (2025) - 2024
- [j9]Simon Driscoll
, Alberto Carrassi, Julien Brajard, Laurent Bertino, Marc Bocquet, Einar Örn Ólason:
Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks. J. Comput. Sci. 79: 102231 (2024) - 2023
- [j8]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:
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE CAA J. Autom. Sinica 10(6): 1361-1387 (2023) - [i4]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:
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review. CoRR abs/2303.10462 (2023) - 2022
- [j7]Pierre Baguis, Alberto Carrassi, Emmanuel Roulin, Stéphane Vannitsem, Sara Modanesi, Hans Lievens, Michel Bechtold, Gabrielle De Lannoy:
Assimilation of Backscatter Observations into a Hydrological Model: A Case Study in Belgium Using ASCAT Data. Remote. Sens. 14(22): 5740 (2022) - 2021
- [j6]Axel Hutt, Marc Bocquet, Alberto Carrassi, L. Lei, Roland Potthast:
Editorial: Data Assimilation of Nonlocal Observations in Complex Systems. Frontiers Appl. Math. Stat. 7: 658272 (2021) - 2020
- [j5]Julien Brajard, Alberto Carrassi, Marc Bocquet, Laurent Bertino:
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model. J. Comput. Sci. 44: 101171 (2020) - [i3]Julien Brajard, Alberto Carrassi, Marc Bocquet, Laurent Bertino:
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model. CoRR abs/2001.01520 (2020) - [i2]Marc Bocquet, Julien Brajard, Alberto Carrassi, Laurent Bertino:
Bayesian inference of dynamics from partial and noisy observations using data assimilation and machine learning. CoRR abs/2001.06270 (2020) - [i1]Christian Sampson, Alberto Carrassi, Ali Aydogdu, Christopher K. R. T. Jones:
Ensemble Kalman Filter for non-conservative moving mesh solvers with a joint physics and mesh location update. CoRR abs/2009.13670 (2020)
2010 – 2019
- 2018
- [j4]Colin Grudzien, Alberto Carrassi, Marc Bocquet:
Asymptotic Forecast Uncertainty and the Unstable Subspace in the Presence of Additive Model Error. SIAM/ASA J. Uncertain. Quantification 6(4): 1335-1363 (2018) - 2017
- [j3]Marc Bocquet, Karthik S. Gurumoorthy, Amit Apte, Alberto Carrassi, Colin Grudzien, Christopher K. R. T. Jones:
Degenerate Kalman Filter Error Covariances and Their Convergence onto the Unstable Subspace. SIAM/ASA J. Uncertain. Quantification 5(1): 304-333 (2017) - [j2]Karthik S. Gurumoorthy, Colin Grudzien, Amit Apte, Alberto Carrassi, Christopher K. R. T. Jones:
Rank Deficiency of Kalman Error Covariance Matrices in Linear Time-Varying System With Deterministic Evolution. SIAM J. Control. Optim. 55(2): 741-759 (2017) - 2011
- [j1]Alberto Carrassi, Stéphane Vannitsem:
Treatment of the Error due to Unresolved scales in Sequential Data Assimilation. Int. J. Bifurc. Chaos 21(12): 3619-3626 (2011)
Coauthor Index
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