Author

N. Tonicello

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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