A probabilistic learning on manifolds as a new tool in machine learning and data science with applications in computational mechanics

Vincent Dangla; Christian Soize; Guilherme Coelho Cunha; Morad Kassem; A. Mosson; Benoit. van den Nieuwenhof

Conference papers

A probabilistic learning on manifolds as a new tool in machine learning and data science with applications in computational mechanics

Vincent Dangla ^{1, 2} Christian Soize ¹ Guilherme Coelho Cunha ² Morad Kassem ² A. Mosson ² Benoit. van den Nieuwenhof ³

1 MSME - Laboratoire de Modélisation et Simulation Multi Echelle

2 AIRBUS Operations Ltd.

3 FFT - Free Field Technologies

Document type :

Conference papers

Domain :

Engineering Sciences [physics] / Acoustics [physics.class-ph]

Engineering Sciences [physics] / Mechanics [physics.med-ph] / Vibrations [physics.class-ph]

Engineering Sciences [physics] / Mechanics [physics.med-ph] / Fluids mechanics [physics.class-ph]

Complete list of metadatas

https://hal-upec-upem.archives-ouvertes.fr/hal-02175557
Contributor : Christian Soize <>
Submitted on : Friday, July 5, 2019 - 6:53:29 PM
Last modification on : Thursday, March 19, 2020 - 11:52:05 AM

A probabilistic learning on manifolds as a new tool in machine learning and data science with applications in computational mechanics

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A probabilistic learning on manifolds as a new tool in machine learning and data science with applications in computational mechanics

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