Data-driven identification and reconstruction of partially observed dynamical systems - Equipe Observations Signal & Environnement
Conference Papers Year : 2024

Data-driven identification and reconstruction of partially observed dynamical systems

Abstract

Keynote of the "Machine Learning and Data Assimilation Section"

Domains

Ocean, Atmosphere Machine Learning [stat.ML]
Fichier principal
Vignette du fichier
presentation_ISDA_2024_tandeo.pdf (32.75 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Pierre Tandeo  : Connect in order to contact the contributor

https://imt-atlantique.hal.science/hal-04764759

Submitted on : Friday, November 8, 2024-3:36:44 PM

Last modification on : Tuesday, November 12, 2024-9:11:10 AM

Download

Dates and versions

hal-04764759 , version 1 (08-11-2024)

Licence

Attribution

Identifiers

  • HAL Id : hal-04764759 , version 1

Cite

Pierre Tandeo. Data-driven identification and reconstruction of partially observed dynamical systems. ISDA 2024 - 10th International Symposium on Data Assimilation, RIKEN, Oct 2024, Kobe, Japan. ⟨hal-04764759⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

UNIV-BREST CNRS INRIA LAB-STICC_UBO ENIB LAB-STICC INRIA2 UNIV-RENNES IMT-ATLANTIQUE LAB-STICC_OSE LAB-STICC_IAOCEAN INSTITUT-MINES-TELECOM
0 View
0 Download

Share

More