Francesco Romor
According to our database1,
Francesco Romor authored at least 16 papers
between 2020 and 2026.
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Bibliography
2026
LDDMM stochastic interpolants: an application to domain uncertainty quantification in hemodynamics.
CoRR, March, 2026
Shape-Informed Graph Neural Networks and Data Assimilation: Application to Velocity and Pressure Reconstruction in Aortic Blood Flow.
SIAM J. Imaging Sci., 2026
2025
ROM for Viscous, Incompressible Flow in Polygons - exponential <i>n</i>-width bounds and convergence rate.
CoRR, December, 2025
Efficient Numerical Strategies for Entropy-Regularized Semi-Discrete Optimal Transport.
CoRR, July, 2025
Data assimilation performed with robust shape registration and graph neural networks: application to aortic coarctation.
CoRR, February, 2025
Friedrichs' systems discretized with the DGM: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions.
J. Comput. Phys., 2025
Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations.
J. Comput. Phys., 2025
2024
A Local Approach to Parameter Space Reduction for Regression and Classification Tasks.
J. Sci. Comput., June, 2024
2023
Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method.
J. Sci. Comput., February, 2023
Generative Models for the Deformation of Industrial Shapes with Linear Geometric Constraints: model order and parameter space reductions.
CoRR, 2023
Friedrichs' systems discretized with the Discontinuous Galerkin method: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions.
CoRR, 2023
2022
Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method.
CoRR, 2022
2021
ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis.
Softw. Impacts, 2021
Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering.
CoRR, 2021
2020
Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces.
CoRR, 2020
Kernel-based Active Subspaces with application to CFD parametric problems using Discontinuous Galerkin method.
CoRR, 2020