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A Predictive Digital Twin framework for Risk Assessment in Congestive Heart Failure
2023/2024 Carnevali, Davide
Approximate Bayesian computing in structural health monitoring: simulation-based inference via normalizing flows and variational autoencoders
2023/2024 Bottacini, Giacomo
Approximate Bayesian Ensembling for physics-informed deep learning architectures
2020/2021 Capello, Federico
Bayesian physics-informed neural networks for inverse uncertainty quantification problems in cardiac electrophysiology
2019/2020 Ceccarelli, Daniele
Bridging HPC and data-driven methods: a scalable transformer architecture for large-scale PDE simulations
2024/2025 Pagani, Luigi
Deep Learning-based reduced order models for PDEs : multi-fidelity strategies for transfer learning
2020/2021 FRAULIN, DANIEL
Deep Learning-based surrogate models for parametrized PDEs : including geometrical features through graph neural networks
2022/2023 TOMBARI, FILIPPO
digital twin of structural systems using dynamic bayesian network and reduced order models
2021/2022 VALENDINO, ROBERTO
Efficient approximation of PDEs defined on domains with variable shape through POD-enhanced deep learning-based ROMs
2021/2022 Zuanon, Edoardo
Efficient numerical approximation of parametrized one-way coupled problems in cardiac electromechanics
2020/2021 PIERDOMENICO, MATTEO
Efficient Uncertainty Quantification and Sensitivity Analysis of Electrodiffusive Neuron Models
2022/2023 Signorelli, Letizia
Enhancing the numerical approximation of parametrized optimal control problems through proper orthogonal decomposition and artificial neural network
2023/2024 Venturini, Carlo Andrea
Evolutional deep neural networks for partial differential equations
2022/2023 Paparo, Luca
Finite-element approximation for the coupled myocardium-torso problem on patient specific geometries
2018/2019 FIORENTINI, LORENZO
Graph Neural Networks based AutoEncoder in Reduced Order Modeling of Dynamical Systems
2023/2024 DEVECCHI, PIETRO
Latent model discovery for efficient simulation and uncertainty quantification of wildfire dynamics
2023/2024 Benzoni, Lorenzo
LipiMap: Biologically-Informed Variational Autoencoder Reveals Lipid Metabolic Modules in the Brain
2023/2024 VENTURI, FRANCESCA
Long-time prediction of nonlinear parametrized dynamical systems through deep learning-based reduced order models
2020/2021 Fatone, Federico
MELTER: a transformer architecture for multi-fidelity problems
2023/2024 DA MOMMIO, MARCO
Model Discovery integrating Symbolic Regression into Sparse Identification of Nonlinear Dynamics
2023/2024 ROMANO, GIORGIO
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