Gabriele Santin

58 papers A* 2Journal 54Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analysis of structured deep kernel networks. J. Comput. Appl. Math. Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
2026	J	`jnl`	Kernel Methods for the Construction of Certified Lyapunov Functions via Approximate Koopman Eigenfunctions. CoRR P. Giesl, S. Hafstein, Boumediene Hamzi, Jonghyeon Lee, Houman Owhadi, Gabriele Santin, Umesh Vaidya
2026	J	`jnl`	On the optimal shape parameter for kernel methods: Sharp direct and inverse statements. CoRR Tizian Wenzel, Gabriele Santin
2026	J	`jnl`	Piecewise linear interpolation via kernels. CoRR Toni Karvonen, Gabriele Santin, Tizian Wenzel
2026	J	`jnl`	Refined rates of convergence for target-data dependent greedy generalized interpolation with Sobolev kernels. CoRR Bernard Haasdonk, Gabriele Santin, Tizian Wenzel, Daniel Winkle
2025	J	`jnl`	An algorithm for a constrained P-spline. CoRR Rosanna Campagna, Serena Crisci, Gabriele Santin, Gerardo Toraldo, Marco Viola
2025	J	`jnl`	Explaining the Explainers in Graph Neural Networks: a Comparative Study. ACM Comput. Surv. Antonio Longa, Steve Azzolin, Gabriele Santin, Giulia Cencetti, Pietro Lio, Bruno Lepri, Andrea Passerini
2025	J	`jnl`	General superconvergence for kernel-based approximation. CoRR Toni Karvonen, Gabriele Santin, Tizian Wenzel
2025	J	`jnl`	Kernel-based Greedy Approximation of Parametric Elliptic Boundary Value Problems. CoRR Bernard Haasdonk, Gabriele Santin, Tizian Wenzel
2025	J	`jnl`	On Universality Classes of Equivariant Networks. CoRR Marco Pacini, Gabriele Santin, Bruno Lepri, Shubhendu Trivedi
2025	A*	`conf`	Separation Power of Equivariant Neural Networks. ICLR Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin
2025	J	`jnl`	Tuning Butterworth filter's parameters in SPECT reconstructions via kernel-based Bayesian optimization with a no-reference image evaluation metric. CoRR Luca Pastrello, Diego Cecchin, Gabriele Santin, Francesco Marchetti
2025	J	`jnl`	Weak convergence rates for spectral regularization via sampling inequalities. CoRR Sabrina Guastavino, Gabriele Santin, Francesco Marchetti, Federico Benvenuto
2024	A*	`conf`	A Characterization Theorem for Equivariant Networks with Point-wise Activations. ICLR Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin
2024	J	`jnl`	A Characterization Theorem for Equivariant Networks with Point-wise Activations. CoRR Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin
2024	J	`jnl`	Autonomous and Human-Driven Vehicles Interacting in a Roundabout: A Quantitative and Qualitative Evaluation. IEEE Access Laura Ferrarotti, Massimiliano Luca, Gabriele Santin, Giorgio Previati, Gianpiero Mastinu, Massimiliano Gobbi, Elena Campi, Lorenzo Uccello, Antonino Albanese, Praveen Zalaya, Alessandro Roccasalva, Bruno Lepri
2024	J	`jnl`	Kernel Methods for the Approximation of the Eigenfunctions of the Koopman Operator. CoRR Jonghyeon Lee, Boumediene Hamzi, Boya Hou, Houman Owhadi, Gabriele Santin, Umesh Vaidya
2024	J	`jnl`	On the Optimality of Target-Data-Dependent Kernel Greedy Interpolation in Sobolev Reproducing Kernel Hilbert Spaces. SIAM J. Numer. Anal. Gabriele Santin, Tizian Wenzel, Bernard Haasdonk
2024	J	`jnl`	Separation Power of Equivariant Neural Networks. CoRR Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin
2023	J	`jnl`	Equally spaced points are optimal for Brownian Bridge kernel interpolation. Appl. Math. Lett. Gabriele Santin
2023	J	`jnl`	Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities. Trans. Mach. Learn. Res. Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Lio, Franco Scarselli, Andrea Passerini
2023	J	`jnl`	Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities. CoRR Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Liò, Franco Scarselli, Andrea Passerini
2023	J	`jnl`	HJB-RBF Based Approach for the Control of PDEs. J. Sci. Comput. Alessandro Alla, Hugo Oliveira, Gabriele Santin
2023	J	`jnl`	Kernel-based models for influence maximization on graphs based on Gaussian process variance minimization. J. Comput. Appl. Math. Salvatore Cuomo, Wolfgang Erb, Gabriele Santin
2023	J	`jnl`	On the optimality of target-data-dependent kernel greedy interpolation in Sobolev Reproducing Kernel Hilbert Spaces. CoRR Gabriele Santin, Tizian Wenzel, Bernard Haasdonk
2023	J	`jnl`	Quantitative and Qualitative Evaluation of Reinforcement Learning Policies for Autonomous Vehicles. CoRR Laura Ferrarotti, Massimiliano Luca, Gabriele Santin, Giorgio Previati, Gianpiero Mastinu, Elena Campi, Lorenzo Uccello, Antonino Albanese, Praveen Zalaya, Alessandro Roccasalva, Bruno Lepri
2022	J	`jnl`	A Framework for Verifiable and Auditable Collaborative Anomaly Detection. IEEE Access Gabriele Santin, Inna Skarbovsky, Fabiana Fournier, Bruno Lepri
2022	J	`jnl`	A Framework for Verifiable and Auditable Federated Anomaly Detection. CoRR Gabriele Santin, Inna Skarbovsky, Fabiana Fournier, Bruno Lepri
2022	J	`jnl`	Adaptive meshfree solution of linear partial differential equations with PDE-greedy kernel methods. CoRR Tizian Wenzel, Daniel Winkle, Gabriele Santin, Bernard Haasdonk
2022	J	`jnl`	Convergence Results in Image Interpolation With the Continuous SSIM. SIAM J. Imaging Sci. Francesco Marchetti, Gabriele Santin
2022	J	`jnl`	Equally spaced points are optimal for Brownian Bridge kernel interpolation. CoRR Gabriele Santin
2022	J	`jnl`	Explaining the Explainers in Graph Neural Networks: a Comparative Study. CoRR Antonio Longa, Steve Azzolin, Gabriele Santin, Giulia Cencetti, Pietro Liò, Bruno Lepri, Andrea Passerini
2022	J	`jnl`	Interpolation with the polynomial kernels. CoRR Giacomo Elefante, Wolfgang Erb, Francesco Marchetti, Emma Perracchione, Davide Poggiali, Gabriele Santin
2022	J	`jnl`	Measuring close proximity interactions in summer camps during the COVID-19 pandemic. EPJ Data Sci. Elia Leoni, Giulia Cencetti, Gabriele Santin, Timofei Istomin, Davide Molteni, Gian Pietro Picco, Elisabetta Farella, Bruno Lepri, Amy L. Murphy
2022	J	`jnl`	Reprogramming FairGANs with Variational Auto-Encoders: A New Transfer Learning Model. CoRR Beatrice Nobile, Gabriele Santin, Bruno Lepri, Pierpaolo Brutti
2022	J	`jnl`	Stability of convergence rates: Kernel interpolation on non-Lipschitz domains. CoRR Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
2022	J	`jnl`	Stable interpolation with exponential-polynomial splines and node selection via greedy algorithms. Adv. Comput. Math. Rosanna Campagna, Stefano De Marchi, Emma Perracchione, Gabriele Santin
2021	J	`jnl`	A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability and uniform point distribution. J. Approx. Theory Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
2021	J	`jnl`	Analysis of target data-dependent greedy kernel algorithms: Convergence rates for f-, $f \cdot P$- and f/P-greedy. CoRR Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
2021	J	`jnl`	Convergence analysis for image interpolation in terms of the cSSIM. CoRR Francesco Marchetti, Gabriele Santin
2021	J	`jnl`	Greedy algorithms for learning via exponential-polynomial splines. CoRR Rosanna Campagna, Stefano De Marchi, Emma Perracchione, Gabriele Santin
2021	J	`jnl`	HJB-RBF based approach for the control of PDEs. CoRR Alessandro Alla, Hugo Oliveira, Gabriele Santin
2021	J	`jnl`	Kernel-Based Models for Influence Maximization on Graphs based on Gaussian Process Variance Minimization. CoRR Salvatore Cuomo, Wolfgang Erb, Gabriele Santin
2021	J	`jnl`	Measuring close proximity interactions in summer camps during the COVID-19 pandemic. CoRR Elia Leoni, Giulia Cencetti, Gabriele Santin, Timofei Istomin, Davide Molteni, Gian Pietro Picco, Elisabetta Farella, Bruno Lepri, A. M. Murphy
2021	—	`conf`	Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows. LSSC Tizian Wenzel, Marius Kurz, Andrea Beck, Gabriele Santin, Bernard Haasdonk
2021	J	`jnl`	Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows. CoRR Tizian Wenzel, Marius Kurz, Andrea Beck, Gabriele Santin, Bernard Haasdonk
2021	J	`jnl`	Universality and Optimality of Structured Deep Kernel Networks. CoRR Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
2020	J	`jnl`	Biomechanical surrogate modelling using stabilized vectorial greedy kernel methods. CoRR Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, Syn Schmitt
2020	J	`jnl`	Kernel methods for center manifold approximation and a data-based version of the Center Manifold Theorem. CoRR Bernard Haasdonk, Boumediene Hamzi, Gabriele Santin, Dominik Wittwar
2020	J	`jnl`	Sampling based approximation of linear functionals in Reproducing Kernel Hilbert Spaces. CoRR Gabriele Santin, Toni Karvonen, Bernard Haasdonk
2019	J	`jnl`	A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability & uniform point distribution. CoRR Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
2019	—	`conf`	Biomechanical Surrogate Modelling Using Stabilized Vectorial Greedy Kernel Methods. ENUMATH Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, Syn Schmitt
2019	J	`jnl`	Kernel Methods for Surrogate Modeling. CoRR Gabriele Santin, Bernard Haasdonk
2018	J	`jnl`	Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario. CoRR Markus Köppel, Fabian Franzelin, Ilja Kröker, Sergey Oladyshkin, Gabriele Santin, Dominik Wittwar, Andrea Barth, Bernard Haasdonk, Wolfgang Nowak, Dirk Pflüger, Christian Rohde
2018	J	`jnl`	Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and machine learning techniques. CoRR Tobias Köppl, Gabriele Santin, Bernard Haasdonk, Rainer Helmig
2016	J	`jnl`	Approximation of eigenfunctions in kernel-based spaces. Adv. Comput. Math. Gabriele Santin, Robert Schaback
2013	J	`jnl`	A new stable basis for radial basis function interpolation. J. Comput. Appl. Math. Stefano De Marchi, Gabriele Santin
2011	J	`jnl`	An algebraic cubature formula on curvilinear polygons. Appl. Math. Comput. Gabriele Santin, Alvise Sommariva, Marco Vianello