Non-linear manifold reduced-order models with convolutional autoencoders and reduced over-collocation method

Francesco Romor , Giovanni Stabile , Gianluigi Rozza
Journal of Scientific Computing 94 ( 3) 74 -74

25
2023
Kernel‐based active subspaces with application to computational fluid dynamics parametric problems using the discontinuous Galerkin method

Francesco Romor , Marco Tezzele , Andrea Lario , Gianluigi Rozza
International Journal for Numerical Methods in Engineering 123 ( 23) 6000 -6027

16
2022
ATHENA: advanced techniques for high dimensional parameter spaces to enhance numerical analysis

Francesco Romor , Marco Tezzele , Gianluigi Rozza
Software Impacts 10 100133 -100133

16
2021
Multi‐fidelity data fusion through parameter space reduction with applications to automotive engineering

Francesco Romor , Marco Tezzele , Markus Mrosek , Carsten Othmer
International Journal for Numerical Methods in Engineering 124 ( 23) 5293 -5311

15
2023
A local approach to parameter space reduction for regression and classification tasks

Francesco Romor , Marco Tezzele , Gianluigi Rozza
arXiv preprint arXiv:2107.10867

7
2021
Chapter 16: Reduction in Parameter Space

Marco Tezzele , Francesco Romor , Gianluigi Rozza
Society for Industrial and Applied Mathematics 325 -343

3
2022
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
Computer Methods in Applied Mechanics and Engineering 423 116823 -116823

2
2024
Chapter 11: Discontinuous Galerkin-Based Reduced Order Models

Andrea Lario , Francesco Romor , Gianluigi Rozza
Society for Industrial and Applied Mathematics 233 -247

2022
Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces

Francesco Romor , Marco Tezzele , Gianluigi Rozza
Proceedings in Applied Mathematics & Mechanics

8
2020