Nicola R. Franco
Orcid: 0000-0002-4980-5606
According to our database1,
Nicola R. Franco
authored at least 12 papers
between 2021 and 2024.
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Bibliography
2024
Deep learning enhanced cost-aware multi-fidelity uncertainty quantification of a computational model for radiotherapy.
CoRR, 2024
A practical existence theorem for reduced order models based on convolutional autoencoders.
CoRR, 2024
2023
J. Sci. Comput., November, 2023
Neural Networks, April, 2023
Deep learning based reduced order modeling of Darcy flow systems with local mass conservation.
CoRR, 2023
On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields.
CoRR, 2023
Nonlinear model order reduction for problems with microstructure using mesh informed neural networks.
CoRR, 2023
Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks.
CoRR, 2023
Error estimates for POD-DL-ROMs: a deep learning framework for reduced order modeling of nonlinear parametrized PDEs enhanced by proper orthogonal decomposition.
CoRR, 2023
2022
A deep learning approach to Reduced Order Modelling of parameter dependent partial differential equations.
Math. Comput., November, 2022
2021