Gabriele Santin

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Bernard HaasdonkProfessor for Numerical MathematicsVerified email at mathematik.uni-stuttgart.de
Stefano De MarchiFull Professor of Numerical Analysis, Department of Mathematics, University of PadovaVerified email at unipd.it
Bruno LepriFondazione Bruno KesslerVerified email at fbk.eu
Antonio LongaFondazione Bruno KesslerVerified email at unitn.it
Sune LehmannProfessor, DTU Compute, Technical University of Denmark and Center for Social Data ScienceVerified email at dtu.dk
Alain BarratCNRSVerified email at cpt.univ-mrs.fr
Giulia CencettiFondazione Bruno KesslerVerified email at fbk.eu
Marcel SalathéAssociate Professor, EPFLVerified email at epfl.ch
Emanuele PiganiPhD Student, SZN and LIPh LabVerified email at unipd.it
Ciro CattutoISI FoundationVerified email at isi.it
Tizian WenzelResearcher, University of StuttgartVerified email at mathematik.uni-stuttgart.de
Emma PerracchioneUniversità di GenovaVerified email at dima.unige.it
Roberto CavorettoUniversity of TorinoVerified email at unito.it
Alessandra De RossiUniversity of TorinoVerified email at unito.it
Ilja KrökerIWS, Universität StuttgartVerified email at iws.uni-stuttgart.de
Alvise SommarivaUniversita' di PadovaVerified email at math.unipd.it
Rainer HelmigUniversität Stuttgart, Professor für Hydromechanik und HydrosystemmodellierungVerified email at iws.uni-stuttgart.de
Boumediene HamziMarie Curie Fellow, Department of Mathematics, Imperial College London & The Alan Turing InstituteVerified email at imperial.ac.uk
Robert SchabackProfessor für Numerical and Applied MathematicsVerified email at math.uni-goettingen.de
Christian RohdeUniversität StuttgartVerified email at mathematik.uni-stuttgart.de

Gabriele Santin

Researcher, Fondazione Bruno Kessler

Verified email at fbk.eu - Homepage

Numerical Analysis Kernel Methods Radial Basis Functions Surrogate Modelling


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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	98*	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	78	2013
Convergence rate of the data-independent -greedy algorithm in kernel-based approximation G Santin, B Haasdonk arXiv preprint arXiv:1612.02672, 2016	54	2016
Approximation of eigenfunctions in kernel-based spaces G Santin, R Schaback Advances in Computational Mathematics 42 (4), 973-993, 2016	39	2016
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	32	2019
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	32	2017
Fast computation of orthonormal basis for RBF spaces through Krylov space methods S De Marchi, G Santin BIT Numerical Mathematics 55, 949-966, 2015	29	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	25	2018
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	24	2021
Greedy kernel approximation for sparse surrogate modeling B Haasdonk, G Santin Reduced-Order Modeling (ROM) for Simulation and Optimization: Powerful …, 2018	19	2018
Interpolation with uncoupled separable matrix-valued kernels D Wittwar, G Santin, B Haasdonk arXiv preprint arXiv:1807.09111, 2018	15	2018
A rescaled method for RBF approximation S De Marchi, A Idda, G Santin Approximation Theory XV: San Antonio 2016 15, 39-59, 2017	15	2017
An algebraic cubature formula on curvilinear polygons G Santin, A Sommariva, M Vianello Applied mathematics and computation 217 (24), 10003-10015, 2011	15	2011
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	13	2020
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	12	2021
Kernel Methods for Surrogate Modeling G Santin, B Haasdonk https://arxiv.org/abs/1907.10556, 2019	12	2019
Sampling based approximation of linear functionals in reproducing kernel Hilbert spaces G Santin, T Karvonen, B Haasdonk BIT Numerical Mathematics, 1-32, 2021	10	2021
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	8	2023
Kernel methods for surrogate modeling G Santin, B Haasdonk Model Order Reduction 1, 311-354, 2021	8	2021
Approximating basins of attraction for dynamical systems via stable radial bases R Cavoretto, S De Marchi, A De Rossi, E Perracchione, G Santin AIP Conference Proceedings 1738 (1), 390003, 2016	7	2016

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