Search Results for author: Daniel Fraulin

Found 1 papers, 0 papers with code

On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields

no code implementations18 Oct 2023 Nicola Rares Franco, Daniel Fraulin, Andrea Manzoni, Paolo Zunino

Deep Learning is having a remarkable impact on the design of Reduced Order Models (ROMs) for Partial Differential Equations (PDEs), where it is exploited as a powerful tool for tackling complex problems for which classical methods might fail.

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