Publications

Francesco Romor, Felipe Galarce, Jan Brüning, Leonid Goubergrits, Alfonso Caiazzo (2026). Shape-informed graph neural networks and data assimilation: application to velocity and pressure reconstruction in aortic blood flow. SIAM journal on Imaging Sciences.

Francesco Romor, Moaad Khamlich, Gianluigi Rozza (2025). Efficient numerical strategies for entropy-regularized semi-discrete optimal transport. Computer Methods in Applied Mechanics and Engineering.

Francesco Romor, Davide Torlo, Gianluigi Rozza (2025). Friedrichs' systems discretized with the DGM: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions. Journal of Computational Physics.

Francesco Romor, Giovanni Stabile, Gianluigi Rozza (2025). Explicable hyper-reduced order models with autoencoders. Journal of Computational Physics.

Guglielmo Padula, Francesco Romor, Gianluigi Rozza (2023). Generative models for the deformation of industrial shapes with linear geometric constraints: Model order and parameter space reductions. Computer Methods in Applied Mechanics and Engineering.

Francesco Romor, Giovanni Stabile, Gianluigi Rozza (2023). Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method. Journal of Scientific Computing.

Francesco Romor, Marco Tezzele, Gianluigi Rozza (2022). Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering. International Journal for Numerical Methods in Engineering.

Francesco Romor, Marco Tezzele, Gianluigi Rozza (2022). A Local Approach to Parameter Space Reduction for Regression and Classification Tasks. Journal of Scientific Computing.

Francesco Romor, Marco Tezzele, Andrea Lario, Gianluigi Rozza (2022). Kernel-based active subspaces with application to computational fluid dynamics parametric problems using the discontinuous Galerkin method. International Journal for Numerical Methods in Engineering.