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Probabilistic learning for Uncertainty Quantification in computational sciences and engineering

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https://hal-upec-upem.archives-ouvertes.fr/hal-02530168
Contributor : Christian Soize Connect in order to contact the contributor
Submitted on : Thursday, April 2, 2020 - 5:28:09 PM
Last modification on : Tuesday, October 19, 2021 - 4:09:18 PM

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  • HAL Id : hal-02530168, version 1

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Christian Soize. Probabilistic learning for Uncertainty Quantification in computational sciences and engineering. Seminarios Arthur Palmeira Ripper Neto, Dept Mech. Eng., Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil, 24 August 2018. 2018. ⟨hal-02530168⟩

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