Francesco Romor

A local approach to parameter space reduction for regression and classification tasks pdf

Gianluigi Rozza, Marco Tezzele, Francesco Romor, 2021, ArXiv.

A local approach to parameter space reduction for regression and classification tasks

G. Rozza, Marco Tezzele, Francesco Romor, 2021, J. Sci. Comput..

Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering

G. Rozza, C. Othmer, Marco Tezzele, 2021, ArXiv.

Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method

G. Rozza, G. Stabile, Francesco Romor, 2022, ArXiv.

Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method

G. Rozza, G. Stabile, Francesco Romor, 2023, Journal of Scientific Computing.

Kernel‐based active subspaces with application to computational fluid dynamics parametric problems using the discontinuous Galerkin method pdf

Gianluigi Rozza, Marco Tezzele, Francesco Romor, 2020, International journal for numerical methods in engineering.

Multi‐fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces pdf

Gianluigi Rozza, Marco Tezzele, Francesco Romor, 2020, PAMM.

Friedrichs' systems discretized with the Discontinuous Galerkin method: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions

G. Rozza, D. Torlo, Francesco Romor, 2023, ArXiv.

Kernel-based Active Subspaces with application to CFD parametric problems using Discontinuous Galerkin method

G. Rozza, Andrea Lario, Francesco Romor, 2020, ArXiv.

Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations

G. Rozza, G. Stabile, Francesco Romor, 2023, ArXiv.