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Neural latent dynamics models
We introduce Neural Latent Dynamics Models (NLDMs), a neural ordinary differential equations (ODEs)-based architecture to perform …
Nicola Farenga, Stefania Fresca, Andrea Manzoni
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Deep learning-based reduced order models in cardiac electrophysiology
The numerical simulation of multiple scenarios for cardiac electrophysiology (EP) problems easily becomes computationally prohibitive …
Stefania Fresca, Andrea Manzoni, Luca Dede', Alfio Quarteroni
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Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based ROMs
Deep learning-based reduced order models (DL-ROMs) have been recently proposed to overcome common limitations shared by conventional …
Federico Fatone, Stefania Fresca, Andrea Manzoni
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