Author

Luca Magri

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#machine learning Feb 2026

Efficient adaptation of ROMs for unsteady flows using data assimilation

It is shown that the dominant source of error in out-of-sample forecasts stems from distortions of the latent manifold rather than changes in the latent dynamics, allowing for a lightweight, computationally efficient adaptation procedure with very sparse fine-tuning data.

Ismaël Zighed, Andrea Nóvoa, Luca Magri et al. · Computers & Fluids · 0 citations

Preprint Jul 2026

Convolutional Symmetric AutoEncoders: enhancing latent stability via differential geometry

This work introduces a novel class of symmetric Convolutional AutoEncoders (CAEs) designed to embody the primary properties of manifold parametrization mappings and demonstrates significantly improved predictive capabilities when integrated into a ROM framework.

Gaspare LI Causi, Niccolò Tonicello, Luca Magri et al. · 0 citations