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)

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)

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

Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method. - Francesco Romor; Giovanni Stabile; Gianluigi Rozza (CoRR, 2022)

Friedrichs' systems discretized with the Discontinuous Galerkin method: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions. - Francesco Romor; Davide Torlo; Gianluigi Rozza (CoRR, 2023)

Generative Models for the Deformation of Industrial Shapes with Linear Geometric Constraints: model order and parameter space reductions. - Guglielmo Padula; Francesco Romor; Giovanni Stabile; Gianluigi Rozza (CoRR, 2023)

Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method. - Francesco Romor; Giovanni Stabile; Gianluigi Rozza (J. Sci. Comput., 2023)

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

Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations. - Francesco Romor; Giovanni Stabile; Gianluigi Rozza (J. Comput. Phys., 2025)

Friedrichs' systems discretized with the DGM: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions. - Francesco Romor; Davide Torlo; Gianluigi Rozza (J. Comput. Phys., 2025)

Data assimilation performed with robust shape registration and graph neural networks: application to aortic coarctation. - Francesco Romor; Felipe Galarce; Jan Brüning; Leonid Goubergrits; Alfonso Caiazzo (CoRR, 2025)

Efficient Numerical Strategies for Entropy-Regularized Semi-Discrete Optimal Transport. - Moaad Khamlich; Francesco Romor; Gianluigi Rozza (CoRR, 2025)