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	Pour les 7 documents Envoyer sur ORCID RSS ATOM Exporter BibTeX XML-TEI CSV RTF EndNote PDF HTML Export avancé	Page :	triés par Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante

		Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks Sibo Cheng , Mingming Qiu Neural Computing and Applications, In press, ⟨10.1007/s00521-021-06739-4⟩ Article dans une revue hal-03598308v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Ensemble latent assimilation with deep learning surrogate model: application to drop interaction in a microfluidics device Yilin Zhuang , Sibo Cheng , Nina Kovalchuk , Mark Simmons , Omar K Matar , et al. Lab on a Chip, 2022, 22, pp.3187 - 3202. ⟨10.1039/d2lc00303a⟩ Article dans une revue hal-03953917v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Iterative methods for improving error covariance modeling in variational assimilation Jean-Philippe Argaud , Sibo Cheng , Bertrand Iooss , Didier Lucor , Angélique Ponçot International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), Manolis Papadrakakis; Vissarion Papadopoulos; Georgios Stefanou, Jun 2019, Crete, Greece Communication dans un congrès hal-02397315v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Error covariance specification and localization in data assimilation with industrial application Sibo Cheng Numerical Analysis [cs.NA]. Université Paris-Saclay, 2020. English. ⟨NNT : 2020UPAST067⟩ Thèse tel-03117151v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A graph clustering approach to localization for adaptive covariance tuning in data assimilation based on state-observation mapping Sibo Cheng , Jean-Philippe Argaud , Bertrand Iooss , Angélique Ponçot , Didier Lucor Mathematical Geosciences, 2021, ⟨10.1007/s11004-021-09951-z⟩ Article dans une revue meteo-02460851v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		MACHINE LEARNING BASED SURROGATE MODELLING AND PARAMETER IDENTIFICATION FOR WILDFIRE FORECASTING Sibo Cheng , Rossella Arcucci ICLR, AI for Earth and Space Science, 2022, Apr 2022, Online, United States Poster de conférence hal-03680833v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Error covariance tuning in variational data assimilation: application to an operating hydrological model Sibo Cheng , Jean-Philippe Argaud , Bertrand Iooss , Didier Lucor , Angélique Ponçot Stochastic Environmental Research and Risk Assessment, 2021, ⟨10.1007/s00477-020-01933-7⟩ Article dans une revue hal-02992507v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More