Data fusion with multi-fidelity Gaussian processes for aerodynamic experimental and numerical databases - Archive ouverte HAL
Conference Papers Year : 2021

Data fusion with multi-fidelity Gaussian processes for aerodynamic experimental and numerical databases

Andrés F. López-Lopera
DTIS, ONERA, Université de Toulouse [Toulouse]
CV
Nathalie Bartoli
DTIS, ONERA, Université de Toulouse [Toulouse]
Thierry Lefebvre
  • Function : Author
  • PersonId : 1075045
DTIS, ONERA, Université de Toulouse [Toulouse]
Sylvain Mouton
  • Function : Author
  • PersonId : 1082169

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Machine Learning [stat.ML]
2021_slidesSIAMCSE.pdf (10.56 Mo) Télécharger le fichier
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Andrés LOPEZ LOPERA  : Connect in order to contact the contributor

https://hal.science/hal-03196283

Submitted on : Monday, April 12, 2021-4:37:43 PM

Last modification on : Wednesday, July 24, 2024-9:31:36 AM

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hal-03196283 , version 1 (12-04-2021)

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  • HAL Id : hal-03196283 , version 1

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Andrés F. López-Lopera, Nathalie Bartoli, Thierry Lefebvre, Sylvain Mouton. Data fusion with multi-fidelity Gaussian processes for aerodynamic experimental and numerical databases. SIAM Conference on Computational Science and Engineering (CSE), Mar 2021, Fort Worth (virtual), United States. ⟨hal-03196283⟩

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