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Pascal Fua

affiliation not provided to SSRN

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Scholarly Papers (1)

1.

Empirical Uncertainty Quantification in Deep Learning: Applications to Fluid Dynamics

Number of pages: 38 Posted: 14 Jun 2025
ISAE-SUPAERO Higher Institute of Aerospace Engineering, ISAE-SUPAERO Higher Institute of Aerospace Engineering, ISAE-SUPAERO Higher Institute of Aerospace Engineering, ISAE-SUPAERO Higher Institute of Aerospace Engineering, Université de Sherbrooke and affiliation not provided to SSRN
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Abstract:

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bayesian deep learning, frequentist uncertainty quantification, epistemic uncertainty, aleatoric uncertainty, trailing edge noise, airfoil aerodynamics