Gabriele Santin

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Bernard HaasdonkProfessor for Numerical MathematicsVerified email at mathematik.uni-stuttgart.de
Bruno LepriFondazione Bruno Kessler/Ipazia S.p.a.Verified email at fbk.eu
Antonio LongaAssistant professor (RTD-A), University of TrentoVerified email at unitn.it
Stefano De MarchiFull Professor of Numerical Analysis, Department of Mathematics, University of PadovaVerified email at unipd.it
Tizian WenzelAkademischer Rat, LMU MunichVerified email at math.lmu.de
Giulia CencettiAix-Marseille Univ, Université de Toulon, CNRS, Centre de Physique ThéoriqueVerified email at cpt.univ-mrs.fr
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
Marcel SalathéAssociate Professor, EPFLVerified email at epfl.ch
Ciro CattutoISI FoundationVerified email at isi.it
Emanuele PiganiPhD Student, SZN and LIPh LabVerified email at unipd.it
Emma PerracchionePolitecnico di TorinoVerified email at polito.it
Andrea PasseriniAssociate Professor, University of TrentoVerified email at disi.unitn.it
Pietro LiòProfessor, University of CambridgeVerified email at cam.ac.uk
Roberto CavorettoUniversity of TorinoVerified email at unito.it
Alessandra De RossiUniversity of TorinoVerified email at unito.it
Boumediene HamziDepartment of Computing and Mathematical Sciences, Caltech & The Alan Turing InstituteVerified email at imperial.ac.uk
Laura FerrarottiPost-doctoral fellow, Fondazione Bruno KesslerVerified email at fbk.eu
Massimiliano LucaSenior Researcher @ Fondazione Bruno KesslerVerified email at fbk.eu
Ilja KrökerIWS, Universität StuttgartVerified email at iws.uni-stuttgart.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	146*	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	94	2013
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	82	2023
Convergence rate of the data-independent -greedy algorithm in kernel-based approximation G Santin, B Haasdonk arXiv preprint arXiv:1612.02672, 2016	76	2016
Approximation of eigenfunctions in kernel-based spaces G Santin, R Schaback Advances in Computational Mathematics 42 (4), 973-993, 2016	65	2016
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	46	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	44	2017
Kernel Methods for Surrogate Modeling G Santin, B Haasdonk https://arxiv.org/abs/1907.10556, 2019	39	2019
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	37	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 ACM Computing Surveys 57 (5), 1-37, 2025	35	2025
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	35	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	34	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	32	2018
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	25	2021
Interpolation with uncoupled separable matrix-valued kernels D Wittwar, G Santin, B Haasdonk arXiv preprint arXiv:1807.09111, 2018	25	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	23	2020
Greedy kernel approximation for sparse surrogate modeling B Haasdonk, G Santin Reduced-Order Modeling (ROM) for Simulation and Optimization: Powerful …, 2018	20	2018
An algebraic cubature formula on curvilinear polygons G Santin, A Sommariva, M Vianello Applied mathematics and computation 217 (24), 10003-10015, 2011	18	2011
A rescaled method for RBF approximation S De Marchi, A Idda, G Santin Approximation Theory XV: San Antonio 2016 15, 39-59, 2017	17	2017
Measuring close proximity interactions in summer camps during the COVID-19 pandemic E Leoni, G Cencetti, G Santin, T Istomin, D Molteni, GP Picco, E Farella, ... EPJ Data Science 11 (1), 5, 2022	13	2022

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