Gabriele Santin

发表

Biomechanical surrogate modelling using stabilized vectorial greedy kernel methods pdf

Bernard Haasdonk, Syn Schmitt, Tizian Wenzel, 2020, ArXiv.

An algebraic cubature formula on curvilinear polygons

Alvise Sommariva, Marco Vianello, Gabriele Santin, 2011, Appl. Math. Comput..

On a new orthonormal basis for RBF native spaces

Stefano De Marchi, Gabriele Santin, 2013 .

Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and kernel methods

Bernard Haasdonk, Rainer Helmig, Gabriele Santin, 2018, International journal for numerical methods in biomedical engineering.

Approximation of eigenfunctions in kernel-based spaces

Robert Schaback, Gabriele Santin, R. Schaback, 2014, Adv. Comput. Math..

Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario

Dirk Pflüger, Bernard Haasdonk, Andrea Barth, 2018, Computational Geosciences.

Sampling based approximation of linear functionals in reproducing kernel Hilbert spaces pdf

Bernard Haasdonk, Gabriele Santin, Toni Karvonen, 2020, BIT Numerical Mathematics.

A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability & uniform point distribution

Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, 2021, J. Approx. Theory.

A new stable basis for radial basis function interpolation

Stefano De Marchi, Gabriele Santin, G. Santin, 2013, J. Comput. Appl. Math..

Greedy Kernel Approximation for Sparse Surrogate Modeling

Bernard Haasdonk, Gabriele Santin, B. Haasdonk, 2018 .

Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and machine learning techniques pdf

Rainer Helmig, Bernard Haasdonk, Gabriele Santin, 2018, ArXiv.

Kernel methods for center manifold approximation and a data-based version of the Center Manifold Theorem pdf

Bernard Haasdonk, Gabriele Santin, Boumediene Hamzi, 2020, ArXiv.

Greedy algorithms for learning via exponential-polynomial splines pdf

Emma Perracchione, Stefano De Marchi, Rosanna Campagna, 2021, ArXiv.

HJB-RBF based approach for the control of PDEs pdf

Alessandro Alla, Gabriele Santin, Hugo Oliveira, 2021, ArXiv.

Convergence analysis for image interpolation in terms of the cSSIM pdf

Gabriele Santin, Francesco Marchetti, 2021, ArXiv.

Kernel-Based Models for Influence Maximization on Graphs based on Gaussian Process Variance Minimization pdf

Salvatore Cuomo, Gabriele Santin, Wolfgang Erb, 2021, ArXiv.

A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability & uniform point distribution

Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, 2021, J. Approx. Theory.

Sampling based approximation of linear functionals in Reproducing Kernel Hilbert Spaces pdf

Bernard Haasdonk, Gabriele Santin, Toni Karvonen, 2021, BIT Numerical Mathematics.

Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows pdf

Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, 2021, ArXiv.

Analysis of target data-dependent greedy kernel algorithms: Convergence rates for f-, $f \cdot P$- and f/P-greedy pdf

Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, 2021, ArXiv.

Universality and Optimality of Structured Deep Kernel Networks pdf

Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, 2021, ArXiv.

Convergence rate of the data-independent P-greedy algorithm in kernel-based approximation

Bernard Haasdonk, Gabriele Santin, B. Haasdonk, 2016, 1612.02672.

Approximating basins of attraction for dynamical systems via stable radial bases

Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione, 2015, 1512.03937.

Greedy Kernel Methods for Center Manifold Approximation

Bernard Haasdonk, Gabriele Santin, Boumediene Hamzi, 2018, 1810.11329.

A new stable basis for RBF approximation

Gabriele Santin, 2012 .

Fast computation of orthonormal basis for RBF spaces through Krylov space methods

Gabriele Santin, Stefano De Marchi, 2015 .