Nicola R. Franco
Orcid: 0000-0002-4980-5606
According to our database1,
Nicola R. Franco
authored at least 15 papers
between 2021 and 2024.
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Bibliography
2024
On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields.
Adv. Comput. Math., October, 2024
Error estimates for POD-DL-ROMs: a deep learning framework for reduced order modeling of nonlinear parametrized PDEs enhanced by proper orthogonal decomposition.
Adv. Comput. Math., June, 2024
Neural network solvers for parametrized elasticity problems that conserve linear and angular momentum.
CoRR, 2024
Measurability and continuity of parametric low-rank approximation in Hilbert spaces: linear operators and random variables.
CoRR, 2024
Deep orthogonal decomposition: a continuously adaptive data-driven approach to model order reduction.
CoRR, 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
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
2022
A deep learning approach to Reduced Order Modelling of parameter dependent partial differential equations.
Math. Comput., November, 2022
2021