Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems. - Marco Tezzele; Filippo Salmoiraghi; Andrea Mola; Gianluigi Rozza (Adv. Model. Simul. Eng. Sci., 2018)

PyDMD: Python Dynamic Mode Decomposition. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (J. Open Source Softw., 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (J. Open Source Softw., 2018)

PyDMD: Python Dynamic Mode Decomposition. - Marco Tezzele; Nicola Demo; Gianluigi Rozza (Zenodo, 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2018)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2018)

Efficient Reduction in Shape Parameter Space Dimension for Ship Propeller Blade Design. - Andrea Mola; Marco Tezzele; Mahmoud Gadalla; Federica Valdenazzi; Davide Grassi; Roberta Padovan; Gianluigi Rozza (CoRR, 2019)

A non-intrusive approach for proper orthogonal decomposition modal coefficients reconstruction through active subspaces. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (CoRR, 2019)

Basic Ideas and Tools for Projection-Based Model Reduction of Parametric Partial Differential Equations. - Gianluigi Rozza; Martin W. Hess; Giovanni Stabile; Marco Tezzele; Francesco Ballarin (CoRR, 2019)

BladeX: Python Blade Morphing. - Mahmoud Gadalla; Marco Tezzele; Andrea Mola; Gianluigi Rozza (J. Open Source Softw., 2019)

BladeX: Python Blade Morphing. - Mahmoud Gadalla; Marco Tezzele; Andrea Mola; Gianluigi Rozza (Zenodo, 2019)

Enhancing CFD predictions in shape design problems by model and parameter space reduction. - Marco Tezzele; Nicola Demo; Giovanni Stabile; Andrea Mola; Gianluigi Rozza (Adv. Model. Simul. Eng. Sci., 2020)

On the comparison of LES data-driven reduced order approaches for hydroacoustic analysis. - Mahmoud Gadalla; Marta Cianferra; Marco Tezzele; Giovanni Stabile; Andrea Mola; Gianluigi Rozza (CoRR, 2020)

Kernel-based Active Subspaces with application to CFD parametric problems using Discontinuous Galerkin method. - Francesco Romor; Marco Tezzele; Andrea Lario; Gianluigi Rozza (CoRR, 2020)

Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces. - Francesco Romor; Marco Tezzele; Gianluigi Rozza (CoRR, 2020)

Hull shape design optimization with parameter space and model reductions, and self-learning mesh morphing. - Nicola Demo; Marco Tezzele; Andrea Mola; Gianluigi Rozza (CoRR, 2021)

Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering. - Francesco Romor; Marco Tezzele; Markus Mrosek; Carsten Othmer; Gianluigi Rozza (CoRR, 2021)

A data-driven partitioned approach for the resolution of time-dependent optimal control problems with dynamic mode decomposition. - Eleonora Donadini; Maria Strazzullo; Marco Tezzele; Gianluigi Rozza (CoRR, 2021)

A Supervised Learning Approach Involving Active Subspaces for an Efficient Genetic Algorithm in High-Dimensional Optimization Problems. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (SIAM J. Sci. Comput., 2021)

ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis. - Francesco Romor; Marco Tezzele; Gianluigi Rozza (Softw. Impacts, 2021)

PyGeM: Python Geometrical Morphing. - Marco Tezzele; Nicola Demo; Andrea Mola; Gianluigi Rozza (Softw. Impacts, 2021)

A multi-fidelity approach coupling parameter space reduction and non-intrusive POD with application to structural optimization of passenger ship hulls. - Marco Tezzele; Lorenzo Fabris; Matteo Sidari; Mauro Sicchiero; Gianluigi Rozza (CoRR, 2022)

A digital twin framework for civil engineering structures. - Matteo Torzoni; Marco Tezzele; Stefano Mariani 002; Andrea Manzoni; Karen E. Willcox (CoRR, 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2023)

A DeepONet multi-fidelity approach for residual learning in reduced order modeling. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Adv. Model. Simul. Eng. Sci., 2023)

PyDMD: A Python package for robust dynamic mode decomposition. - Sara M. Ichinaga; Francesco Andreuzzi; Nicola Demo; Marco Tezzele; Karl Lapo; Gianluigi Rozza; Steven L. Brunton; J. Nathan Kutz (CoRR, 2024)

Adaptive planning for risk-aware predictive digital twins. - Marco Tezzele; Steven Carr 002; Ufuk Topcu; Karen E. Willcox (CoRR, 2024)

Data-driven parameterization refinement for the structural optimization of cruise ship hulls. - Lorenzo Fabris; Marco Tezzele; Ciro Busiello; Mauro Sicchiero; Gianluigi Rozza (CoRR, 2024)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2024)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2024)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2024)

EZyRB: Easy Reduced Basis method. - Nicola Demo; Marco Tezzele; Gianluigi Rozza (Zenodo, 2024)

A Local Approach to Parameter Space Reduction for Regression and Classification Tasks. - Francesco Romor; Marco Tezzele; Gianluigi Rozza (J. Sci. Comput., 2024)

Data-driven discovery of delay differential equations with discrete delays. - Alessandro Pecile; Nicola Demo; Marco Tezzele; Gianluigi Rozza; Dimitri Breda (J. Comput. Appl. Math., 2025)