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Nicola Rares Franco
Nicola Rares Franco
Doctoral Researcher, MOX, Politecnico di Milano, Italy
Email verificata su polimi.it
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Citata da
Citata da
Anno
A deep learning approach to reduced order modelling of parameter dependent partial differential equations
N Franco, A Manzoni, P Zunino
Mathematics of Computation 92 (340), 483-524, 2023
362023
A deep learning approach validates genetic risk factors for late toxicity after prostate cancer radiotherapy in a REQUITE multi-national cohort
MC Massi, F Gasperoni, F Ieva, AM Paganoni, P Zunino, A Manzoni, ...
Frontiers in oncology 10, 541281, 2020
202020
Approximation bounds for convolutional neural networks in operator learning
NR Franco, S Fresca, A Manzoni, P Zunino
Neural Networks 161, 129-141, 2023
152023
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity
NR Franco, MC Massi, F Ieva, A Manzoni, AM Paganoni, P Zunino, ...
Radiotherapy and Oncology 159, 241-248, 2021
142021
Mesh-Informed Neural Networks for Operator Learning in Finite Element Spaces
NR Franco, A Manzoni, P Zunino
Journal of Scientific Computing 97 (35), 2023
11*2023
Nonlinear model order reduction for problems with microstructure using mesh informed neural networks
P Vitullo, A Colombo, NR Franco, A Manzoni, P Zunino
Finite Elements in Analysis and Design 229, 104068, 2024
42024
Error estimates for POD-DL-ROMs: a deep learning framework for reduced order modeling of nonlinear parametrized PDEs enhanced by proper orthogonal decomposition
S Brivio, S Fresca, NR Franco, A Manzoni
arXiv preprint arXiv:2305.04680, 2023
42023
Learning high-order interactions for polygenic risk prediction
MC Massi, NR Franco, A Manzoni, AM Paganoni, HA Park, M Hoffmeister, ...
Plos one 18 (2), e0281618, 2023
32023
On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields
NR Franco, D Fraulin, A Manzoni, P Zunino
arXiv preprint arXiv:2310.12095, 2023
22023
Deep learning-based surrogate models for parametrized PDEs: Handling geometric variability through graph neural networks
NR Franco, S Fresca, F Tombari, A Manzoni
Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (12), 2023
12023
Deep learning based reduced order modeling of Darcy flow systems with local mass conservation
WM Boon, NR Franco, A Fumagalli, P Zunino
arXiv preprint arXiv:2311.14554, 2023
12023
A practical existence theorem for reduced order models based on convolutional autoencoders
NR Franco, S Brugiapaglia
arXiv preprint arXiv:2402.00435, 2024
2024
Machine learning for precision medicine: a combination of data-driven and physics based models
NR Franco
2022
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
Articoli 1–13