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Rares Franco, Nicola
30  Ergebnisse:
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1

Error estimates for POD-DL-ROMs: a deep learning framework ..:

Brivio, Simone ; Fresca, Stefania ; Franco, Nicola Rares.
Advances in Computational Mathematics.  50 (2024)  3 - p. , 2024
Link: https://doi.org/10.1007/..
 
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2

Nonlinear model order reduction for problems with microstru..:

Vitullo, Piermario ; Colombo, Alessio ; Franco, Nicola Rares..
Finite Elements in Analysis and Design.  229 (2024)  - p. 104068 , 2024
Link: https://doi.org/10.1016/..
 
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3

Mesh-Informed Neural Networks for Operator Learning in Fini..:

Franco, Nicola Rares ; Manzoni, Andrea ; Zunino, Paolo
Journal of Scientific Computing.  97 (2023)  2 - p. , 2023
Link: https://doi.org/10.1007/..
 
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4

Approximation bounds for convolutional neural networks in o..:

Franco, Nicola Rares ; Fresca, Stefania ; Manzoni, Andrea.
Neural Networks.  161 (2023)  - p. 129-141 , 2023
Link: https://doi.org/10.1016/..
 
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5

Development of a method for generating SNP interaction-awar..:

Franco, Nicola Rares ; Massi, Michela Carlotta ; Ieva, Francesca...
Radiotherapy and Oncology.  159 (2021)  - p. 241-248 , 2021
Link: https://doi.org/10.1016/..
 
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6

A Deep Learning Approach Validates Genetic Risk Factors for..:

Massi, Michela Carlotta ; Gasperoni, Francesca ; Ieva, Francesca...
Frontiers in Oncology.  10 (2020)  - p. , 2020
Link: https://doi.org/10.3389/..
 
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7

Development of a method for generating SNP interaction-awar..:

Rares Franco, Nicola ; Carlotta Massi, Michela ; Ieva, Francesca...
http://www.repository.uhblibrary.co.uk/id/eprint/4225/1/PIIS0167814021061612.pdf.  , 2021
Link: http://www.repository.uh..
 
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8

A practical existence theorem for reduced order models base..:

Franco, Nicola Rares ; Brugiapaglia, Simone
http://arxiv.org/abs/2402.00435.  , 2024
Link: http://arxiv.org/abs/240..
 
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9

Nonlinear model order reduction for problems with microstru..:

Vitullo, Piermario ; Colombo, Alessio ; Franco, Nicola Rares..
http://arxiv.org/abs/2309.07815.  , 2023
Link: http://arxiv.org/abs/230..
 
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10

On the latent dimension of deep autoencoders for reduced or..:

Franco, Nicola Rares ; Fraulin, Daniel ; Manzoni, Andrea.
http://arxiv.org/abs/2310.12095.  , 2023
Link: http://arxiv.org/abs/231..
 
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11

Deep Learning-based surrogate models for parametrized PDEs:..:

Franco, Nicola Rares ; Fresca, Stefania ; Tombari, Filippo.
http://arxiv.org/abs/2308.01602.  , 2023
Link: http://arxiv.org/abs/230..
 
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12

Error estimates for POD-DL-ROMs: a deep learning framework ..:

Brivio, Simone ; Fresca, Stefania ; Franco, Nicola Rares.
http://arxiv.org/abs/2305.04680.  , 2023
Link: http://arxiv.org/abs/230..
 
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13

Mesh-Informed Neural Networks for Operator Learning in Fini..:

Franco, Nicola Rares ; Manzoni, Andrea ; Zunino, Paolo
http://arxiv.org/abs/2203.11648.  , 2022
Link: http://arxiv.org/abs/220..
 
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14

Approximation bounds for convolutional neural networks in o..:

Franco, Nicola Rares ; Fresca, Stefania ; Manzoni, Andrea.
http://arxiv.org/abs/2207.01546.  , 2022
Link: http://arxiv.org/abs/220..
 
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15

Development of a method for generating SNP interaction-awar..:

Franco, Nicola Rares ; Massi, Michela Carlotta ; Ieva, Francesca...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8754257/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
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