Francesco Romor

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Intrinsic Dimensionality

High Dimensional

Parameter Space

Top Venues

J. Sci. Comput.

Publications

Francesco Romor, Marco Tezzele, Gianluigi Rozza
A Local Approach to Parameter Space Reduction for Regression and Classification Tasks. J. Sci. Comput. 99 (3) (2024)
Guglielmo Padula, Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Generative Models for the Deformation of Industrial Shapes with Linear Geometric Constraints: model order and parameter space reductions. CoRR (2023)
Francesco Romor, Davide Torlo, Gianluigi Rozza
Friedrichs' systems discretized with the Discontinuous Galerkin method: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions. CoRR (2023)
Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations. CoRR (2023)
Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method. J. Sci. Comput. 94 (3) (2023)
Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method. CoRR (2022)
Francesco Romor, Marco Tezzele, Markus Mrosek, Carsten Othmer, Gianluigi Rozza
Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering. CoRR (2021)
Francesco Romor, Marco Tezzele, Gianluigi Rozza
ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis. Softw. Impacts 10 (2021)
Francesco Romor, Marco Tezzele, Gianluigi Rozza
ATHENA: Advanced Techniques for High Dimensional Parameter Spaces to Enhance Numerical Analysis. CoRR (2021)
Francesco Romor, Marco Tezzele, Gianluigi Rozza
A local approach to parameter space reduction for regression and classification tasks. CoRR (2021)
Francesco Romor, Marco Tezzele, Gianluigi Rozza
Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces. CoRR (2020)
Francesco Romor, Marco Tezzele, Andrea Lario, Gianluigi Rozza
Kernel-based Active Subspaces with application to CFD parametric problems using Discontinuous Galerkin method. CoRR (2020)