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Handling geometrical variability in nonlinear reduced order modeling through Continuous Geometry-Aware DL-ROMs
Deep Learning-based Reduced Order Models (DL-ROMs) provide nowadays a well-established class of accurate surrogate models for complex …
Simone Brivio, Stefania Fresca, Andrea Manzoni
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On latent dynamics learning in nonlinear reduced order modeling
In this work, we present the novel mathematical framework of latent dynamics models (LDMs) for reduced order modeling of parameterized …
Nicola Farenga, Stefania Fresca, Simone Brivio, Andrea Manzoni
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On latent dynamics learning in nonlinear reduced order modeling