Sfoglia per Correlatore FRANCO, NICOLA RARES
Mostrati risultati da 1 a 7 di 7
Bayesian functional neural operator: uncertainty quantification of parametric PDEs
2024/2025 CAPRARI, MARCO
Deep generative surrogates for stochastic PDEs: integrating POD and conditional normalizing flows
2024/2025 VIOLANTE, ANDREA
Deep Learning-based reduced order models for PDEs : multi-fidelity strategies for transfer learning
2020/2021 FRAULIN, DANIEL
Graph Neural Networks based AutoEncoder in Reduced Order Modeling of Dynamical Systems
2023/2024 DEVECCHI, PIETRO
Graph Neural Networks: a Deep Learning approach for microcirculatory blood flow simulation
2023/2024 BOTTA, PAOLO
Integrating geometric, functional and topological approaches for clustering aortic morphology in Marfan patients
2023/2024 MEANTI, LUCA
Multi-outcome feature selection via anomaly detection autoencoders: an application to radiogenomics in breast cancer patients
2021/2022 Mapelli, Alessia
Mostrati risultati da 1 a 7 di 7
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