Gabriele Santin
Cited by
Cited by
Digital proximity tracing on empirical contact networks for pandemic control
G Cencetti, G Santin, A Longa, E Pigani, A Barrat, C Cattuto, S Lehmann, ...
Nature communications 12 (1), 1655, 2021
A new stable basis for radial basis function interpolation
S De Marchi, G Santin
Journal of Computational and Applied Mathematics 253, 1-13, 2013
Convergence rate of the data-independent -greedy algorithm in kernel-based approximation
G Santin, B Haasdonk
arXiv preprint arXiv:1612.02672, 2016
Approximation of eigenfunctions in kernel-based spaces
G Santin, R Schaback
Advances in Computational Mathematics 42 (4), 973-993, 2016
Graph neural networks for temporal graphs: State of the art, open challenges, and opportunities
A Longa, V Lachi, G Santin, M Bianchini, B Lepri, P Lio, F Scarselli, ...
arXiv preprint arXiv:2302.01018, 2023
A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability and uniform point distribution
T Wenzel, G Santin, B Haasdonk
Journal of Approximation Theory 262, 105508, 2021
Partition of unity interpolation using stable kernel-based techniques
R Cavoretto, S De Marchi, A De Rossi, E Perracchione, G Santin
Applied Numerical Mathematics 116, 95-107, 2017
Kernel Methods for Surrogate Modeling
G Santin, B Haasdonk, 2019
Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario
M Köppel, F Franzelin, I Kröker, S Oladyshkin, G Santin, D Wittwar, ...
Computational Geosciences 23, 339-354, 2019
Fast computation of orthonormal basis for RBF spaces through Krylov space methods
S De Marchi, G Santin
BIT Numerical Mathematics 55, 949-966, 2015
Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and kernel methods
T Koeppl, G Santin, B Haasdonk, R Helmig
International journal for numerical methods in biomedical engineering 34 (8 …, 2018
Analysis of Target Data-Dependent Greedy Kernel Algorithms: Convergence Rates for f-, - and f/P-Greedy
T Wenzel, G Santin, B Haasdonk
Constructive Approximation 57 (1), 45-74, 2023
Interpolation with uncoupled separable matrix-valued kernels
D Wittwar, G Santin, B Haasdonk
arXiv preprint arXiv:1807.09111, 2018
Explaining the explainers in graph neural networks: a comparative study
A Longa, S Azzolin, G Santin, G Cencetti, P Liò, B Lepri, A Passerini
arXiv preprint arXiv:2210.15304, 2022
Kernel methods for center manifold approximation and a weak data-based version of the center manifold theorem
B Haasdonk, B Hamzi, G Santin, D Wittwar
Physica D: Nonlinear Phenomena 427, 133007, 2021
Greedy kernel approximation for sparse surrogate modeling
B Haasdonk, G Santin
Reduced-Order Modeling (ROM) for Simulation and Optimization: Powerful …, 2018
Greedy kernel methods for center manifold approximation
B Haasdonk, B Hamzi, G Santin, D Wittwar
Spectral and High Order Methods for Partial Differential Equations ICOSAHOM …, 2020
An algebraic cubature formula on curvilinear polygons
G Santin, A Sommariva, M Vianello
Applied mathematics and computation 217 (24), 10003-10015, 2011
A rescaled method for RBF approximation
S De Marchi, A Idda, G Santin
Approximation Theory XV: San Antonio 2016 15, 39-59, 2017
Sampling based approximation of linear functionals in reproducing kernel Hilbert spaces
G Santin, T Karvonen, B Haasdonk
BIT Numerical Mathematics, 1-32, 2021
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