Gabriele Santin

According to our database, Gabriele Santin authored at least 36 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

On the Optimality of Target-Data-Dependent Kernel Greedy Interpolation in Sobolev Reproducing Kernel Hilbert Spaces.

Gabriele Santin, Tizian Wenzel, Bernard Haasdonk

SIAM J. Numer. Anal., 2024

Separation Power of Equivariant Neural Networks.

Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin

CoRR, 2024

Autonomous and Human-Driven Vehicles Interacting in a Roundabout: A Quantitative and Qualitative Evaluation.

Laura Ferrarotti, Massimiliano Luca, Gabriele Santin, Giorgio Previati, Gianpiero Mastinu, Massimiliano Gobbi, Elena Campi, Lorenzo Uccello, Antonino Albanese, Praveen Zalaya, Alessandro Roccasalva, Bruno Lepri

IEEE Access, 2024

A Characterization Theorem for Equivariant Networks with Point-wise Activations.

Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

HJB-RBF Based Approach for the Control of PDEs.

Alessandro Alla, Hugo Oliveira, Gabriele Santin

J. Sci. Comput., July, 2023

Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities.

Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Lio, Franco Scarselli, Andrea Passerini

Trans. Mach. Learn. Res., 2023

Kernel-based models for influence maximization on graphs based on Gaussian process variance minimization.

Salvatore Cuomo, Wolfgang Erb, Gabriele Santin

J. Comput. Appl. Math., 2023

Quantitative and Qualitative Evaluation of Reinforcement Learning Policies for Autonomous Vehicles.

Laura Ferrarotti, Massimiliano Luca, Gabriele Santin, Giorgio Previati, Gianpiero Mastinu, Elena Campi, Lorenzo Uccello, Antonino Albanese, Praveen Zalaya, Alessandro Roccasalva, Bruno Lepri

CoRR, 2023

Equally spaced points are optimal for Brownian Bridge kernel interpolation.

Gabriele Santin

Appl. Math. Lett., 2023

2022

Convergence Results in Image Interpolation With the Continuous SSIM.

Francesco Marchetti, Gabriele Santin

SIAM J. Imaging Sci., December, 2022

Measuring close proximity interactions in summer camps during the COVID-19 pandemic.

Elia Leoni, Giulia Cencetti, Gabriele Santin, Timofei Istomin, Davide Molteni, Gian Pietro Picco, Elisabetta Farella, Bruno Lepri, Amy L. Murphy

EPJ Data Sci., 2022

Interpolation with the polynomial kernels.

Giacomo Elefante, Wolfgang Erb, Francesco Marchetti, Emma Perracchione, Davide Poggiali, Gabriele Santin

CoRR, 2022

Explaining the Explainers in Graph Neural Networks: a Comparative Study.

Antonio Longa, Steve Azzolin, Gabriele Santin, Giulia Cencetti, Pietro Liò, Bruno Lepri, Andrea Passerini

CoRR, 2022

Adaptive meshfree solution of linear partial differential equations with PDE-greedy kernel methods.

Tizian Wenzel, Daniel Winkle, Gabriele Santin, Bernard Haasdonk

CoRR, 2022

Stability of convergence rates: Kernel interpolation on non-Lipschitz domains.

Tizian Wenzel, Gabriele Santin, Bernard Haasdonk

CoRR, 2022

A Framework for Verifiable and Auditable Federated Anomaly Detection.

Gabriele Santin, Inna Skarbovsky, Fabiana Fournier, Bruno Lepri

CoRR, 2022

Reprogramming FairGANs with Variational Auto-Encoders: A New Transfer Learning Model.

Beatrice Nobile, Gabriele Santin, Bruno Lepri, Pierpaolo Brutti

CoRR, 2022

Stable interpolation with exponential-polynomial splines and node selection via greedy algorithms.

Rosanna Campagna, Stefano De Marchi, Emma Perracchione, Gabriele Santin

Adv. Comput. Math., 2022

A Framework for Verifiable and Auditable Collaborative Anomaly Detection.

Gabriele Santin, Inna Skarbovsky, Fabiana Fournier, Bruno Lepri

IEEE Access, 2022

2021

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

Tizian Wenzel, Gabriele Santin, Bernard Haasdonk

J. Approx. Theory, 2021

Greedy algorithms for learning via exponential-polynomial splines.

Rosanna Campagna, Stefano De Marchi, Emma Perracchione, Gabriele Santin

CoRR, 2021

Convergence analysis for image interpolation in terms of the cSSIM.

Francesco Marchetti, Gabriele Santin

CoRR, 2021

Measuring close proximity interactions in summer camps during the COVID-19 pandemic.

Elia Leoni, Giulia Cencetti, Gabriele Santin, Timofei Istomin, Davide Molteni, Gian Pietro Picco, Elisabetta Farella, Bruno Lepri, A. M. Murphy

CoRR, 2021

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

Tizian Wenzel, Gabriele Santin, Bernard Haasdonk

CoRR, 2021

Universality and Optimality of Structured Deep Kernel Networks.

Tizian Wenzel, Gabriele Santin, Bernard Haasdonk

CoRR, 2021

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

Tizian Wenzel, Marius Kurz, Andrea Beck, Gabriele Santin, Bernard Haasdonk

Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021

2020

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

Bernard Haasdonk, Boumediene Hamzi, Gabriele Santin, Dominik Wittwar

CoRR, 2020

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

Gabriele Santin, Toni Karvonen, Bernard Haasdonk

CoRR, 2020

2019

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

Tizian Wenzel, Gabriele Santin, Bernard Haasdonk

CoRR, 2019

Kernel Methods for Surrogate Modeling.

Gabriele Santin, Bernard Haasdonk

CoRR, 2019

Biomechanical Surrogate Modelling Using Stabilized Vectorial Greedy Kernel Methods.

Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, Syn Schmitt

Proceedings of the Numerical Mathematics and Advanced Applications ENUMATH 2019 - European Conference, Egmond aan Zee, The Netherlands, September 30, 2019

2018

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

Tobias Köppl, Gabriele Santin, Bernard Haasdonk, Rainer Helmig

CoRR, 2018

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

Markus Köppel, Fabian Franzelin, Ilja Kröker, Sergey Oladyshkin, Gabriele Santin, Dominik Wittwar, Andrea Barth, Bernard Haasdonk, Wolfgang Nowak, Dirk Pflüger, Christian Rohde

CoRR, 2018

2016

Approximation of eigenfunctions in kernel-based spaces.

Gabriele Santin, Robert Schaback

Adv. Comput. Math., 2016

2013

A new stable basis for radial basis function interpolation.

Stefano De Marchi, Gabriele Santin

J. Comput. Appl. Math., 2013

2011

An algebraic cubature formula on curvilinear polygons.

Gabriele Santin, Alvise Sommariva, Marco Vianello

Appl. Math. Comput., 2011