Gabriele Santin

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Bernard HaasdonkProfessor for Numerical MathematicsVerified email at mathematik.uni-stuttgart.de
Bruno LepriFondazione Bruno KesslerVerified email at fbk.eu
Stefano De MarchiFull Professor of Numerical Analysis, Department of Mathematics, University of PadovaVerified email at unipd.it
Antonio LongaAssistant professor (RTD-A), University of TrentoVerified email at unitn.it
Giulia CencettiFondazione Bruno KesslerVerified email at fbk.eu
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
Tizian WenzelResearcher, University of StuttgartVerified email at mathematik.uni-stuttgart.de
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
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
Boumediene HamziMarie Curie Fellow, Department of Mathematics, Imperial College London & The Alan Turing InstituteVerified email at imperial.ac.uk
Alvise SommarivaUniversita' di PadovaVerified email at math.unipd.it
Rainer HelmigUniversität Stuttgart, Professor für Hydromechanik und HydrosystemmodellierungVerified email at iws.uni-stuttgart.de
Tobias KöpplResearcherVerified email at uhasselt.be
Robert SchabackProfessor für Numerical and Applied MathematicsVerified email at math.uni-goettingen.de

Gabriele Santin

Assistant Professor, Ca' Foscari University of Venice

Verified email at unive.it - 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	111*	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	81	2013
Convergence rate of the data-independent -greedy algorithm in kernel-based approximation G Santin, B Haasdonk arXiv preprint arXiv:1612.02672, 2016	61	2016
Approximation of eigenfunctions in kernel-based spaces G Santin, R Schaback Advances in Computational Mathematics 42, 973-993, 2016	44	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	34	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	34	2017
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	30	2021
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	26	2018
Kernel Methods for Surrogate Modeling G Santin, B Haasdonk https://arxiv.org/abs/1907.10556, 2019	23	2019
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	16	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
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	14	2021
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	14	2020
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	13	2023
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	10	2022
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
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	7	2023

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