19 citations · 78 across the 13 of their papers we have counts for
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math.NA2020★ 6 cited
Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces
Francesco Romor, Marco Tezzele, Gianluigi Rozza
Gaussian processes are employed for non-parametric regression in a Bayesian setting. They generalize linear regression, embedding the inputs in a latent manifold inside an infinite…
math.NA2020★ 18 cited
Kernel-based active subspaces with application to computational fluid dynamics parametric problems using the discontinuous Galerkin method
Francesco Romor, Marco Tezzele, Andrea Lario +1
Nonlinear extensions to the active subspaces method have brought remarkable results for dimension reduction in the parameter space and response surface design. We further develop a…