Gabriele Santin

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 40

Top Topics

Greedy Algorithm

Reproducing Kernel Hilbert Space

Point Distribution

Top Venues

Adv. Comput. Math.

J. Approx. Theory

Appl. Math. Lett.

Publications

Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin
A Characterization Theorem for Equivariant Networks with Point-wise Activations. CoRR (2024)
Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin
A Characterization Theorem for Equivariant Networks with Point-wise Activations. ICLR (2024)
Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin
Separation Power of Equivariant Neural Networks. CoRR (2024)
Alessandro Alla, Hugo Oliveira, Gabriele Santin
HJB-RBF Based Approach for the Control of PDEs. J. Sci. Comput. 96 (1) (2023)
Laura Ferrarotti, Massimiliano Luca, Gabriele Santin, Giorgio Previati, Gianpiero Mastinu, Elena Campi, Lorenzo Uccello, Antonino Albanese, Praveen Zalaya, Alessandro Roccasalva, Bruno Lepri
Quantitative and Qualitative Evaluation of Reinforcement Learning Policies for Autonomous Vehicles. CoRR (2023)
Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Lio, Franco Scarselli, Andrea Passerini
Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities. Trans. Mach. Learn. Res. 2023 (2023)
Gabriele Santin, Tizian Wenzel, Bernard Haasdonk
On the optimality of target-data-dependent kernel greedy interpolation in Sobolev Reproducing Kernel Hilbert Spaces. CoRR (2023)
Salvatore Cuomo, Wolfgang Erb, Gabriele Santin
Kernel-based models for influence maximization on graphs based on Gaussian process variance minimization. J. Comput. Appl. Math. 423 (2023)
Gabriele Santin
Equally spaced points are optimal for Brownian Bridge kernel interpolation. Appl. Math. Lett. 137 (2023)
Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Liò, Franco Scarselli, Andrea Passerini
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities. CoRR (2023)
Gabriele Santin, Inna Skarbovsky, Fabiana Fournier, Bruno Lepri
A Framework for Verifiable and Auditable Federated Anomaly Detection. CoRR (2022)
Gabriele Santin, Inna Skarbovsky, Fabiana Fournier, Bruno Lepri
A Framework for Verifiable and Auditable Collaborative Anomaly Detection. IEEE Access 10 (2022)
Elia Leoni, Giulia Cencetti, Gabriele Santin, Timofei Istomin, Davide Molteni, Gian Pietro Picco, Elisabetta Farella, Bruno Lepri, Amy L. Murphy
Measuring close proximity interactions in summer camps during the COVID-19 pandemic. EPJ Data Sci. 11 (1) (2022)
Giacomo Elefante, Wolfgang Erb, Francesco Marchetti, Emma Perracchione, Davide Poggiali, Gabriele Santin
Interpolation with the polynomial kernels. CoRR (2022)
Gabriele Santin
Equally spaced points are optimal for Brownian Bridge kernel interpolation. CoRR (2022)
Francesco Marchetti, Gabriele Santin
Convergence Results in Image Interpolation With the Continuous SSIM. SIAM J. Imaging Sci. 15 (4) (2022)
Rosanna Campagna, Stefano De Marchi, Emma Perracchione, Gabriele Santin
Stable interpolation with exponential-polynomial splines and node selection via greedy algorithms. Adv. Comput. Math. 48 (6) (2022)
Antonio Longa, Steve Azzolin, Gabriele Santin, Giulia Cencetti, Pietro Liò, Bruno Lepri, Andrea Passerini
Explaining the Explainers in Graph Neural Networks: a Comparative Study. CoRR (2022)
Tizian Wenzel, Daniel Winkle, Gabriele Santin, Bernard Haasdonk
Adaptive meshfree solution of linear partial differential equations with PDE-greedy kernel methods. CoRR (2022)
Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
Stability of convergence rates: Kernel interpolation on non-Lipschitz domains. CoRR (2022)
Beatrice Nobile, Gabriele Santin, Bruno Lepri, Pierpaolo Brutti
Reprogramming FairGANs with Variational Auto-Encoders: A New Transfer Learning Model. CoRR (2022)
Alessandro Alla, Hugo Oliveira, Gabriele Santin
HJB-RBF based approach for the control of PDEs. CoRR (2021)
Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability and uniform point distribution. J. Approx. Theory 262 (2021)
Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
Analysis of target data-dependent greedy kernel algorithms: Convergence rates for f-, $f \cdot P$- and f/P-greedy. CoRR (2021)
Francesco Marchetti, Gabriele Santin
Convergence analysis for image interpolation in terms of the cSSIM. CoRR (2021)
Elia Leoni, Giulia Cencetti, Gabriele Santin, Timofei Istomin, Davide Molteni, Gian Pietro Picco, Elisabetta Farella, Bruno Lepri, A. M. Murphy
Measuring close proximity interactions in summer camps during the COVID-19 pandemic. CoRR (2021)
Tizian Wenzel, Marius Kurz, Andrea Beck, Gabriele Santin, Bernard Haasdonk
Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows. CoRR (2021)
Tizian Wenzel, Marius Kurz, Andrea Beck, Gabriele Santin, Bernard Haasdonk
Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows. LSSC (2021)
Salvatore Cuomo, Wolfgang Erb, Gabriele Santin
Kernel-Based Models for Influence Maximization on Graphs based on Gaussian Process Variance Minimization. CoRR (2021)
Rosanna Campagna, Stefano De Marchi, Emma Perracchione, Gabriele Santin
Greedy algorithms for learning via exponential-polynomial splines. CoRR (2021)
Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
Universality and Optimality of Structured Deep Kernel Networks. CoRR (2021)
Gabriele Santin, Toni Karvonen, Bernard Haasdonk
Sampling based approximation of linear functionals in Reproducing Kernel Hilbert Spaces. CoRR (2020)
Bernard Haasdonk, Boumediene Hamzi, Gabriele Santin, Dominik Wittwar
Kernel methods for center manifold approximation and a data-based version of the Center Manifold Theorem. CoRR (2020)
Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, Syn Schmitt
Biomechanical surrogate modelling using stabilized vectorial greedy kernel methods. CoRR (2020)
Gabriele Santin, Bernard Haasdonk
Kernel Methods for Surrogate Modeling. CoRR (2019)
Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, Syn Schmitt
Biomechanical Surrogate Modelling Using Stabilized Vectorial Greedy Kernel Methods. ENUMATH (2019)
Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability & uniform point distribution. CoRR (2019)
Tobias Köppl, Gabriele Santin, Bernard Haasdonk, Rainer Helmig
Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and machine learning techniques. CoRR (2018)
Markus Köppel, Fabian Franzelin, Ilja Kröker, Sergey Oladyshkin, Gabriele Santin, Dominik Wittwar, Andrea Barth, Bernard Haasdonk, Wolfgang Nowak, Dirk Pflüger, Christian Rohde
Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario. CoRR (2018)
Gabriele Santin, Robert Schaback
Approximation of eigenfunctions in kernel-based spaces. Adv. Comput. Math. 42 (4) (2016)
Stefano De Marchi, Gabriele Santin
A new stable basis for radial basis function interpolation. J. Comput. Appl. Math. 253 (2013)
Gabriele Santin, Alvise Sommariva, Marco Vianello
An algebraic cubature formula on curvilinear polygons. Appl. Math. Comput. 217 (24) (2011)