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ORCIDGabriele Santin
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2020 – today
- 2024
[j14]Laura Ferrarotti
, Massimiliano Luca, Gabriele Santin, Giorgio Previati, Gianpiero Mastinu, Massimiliano Gobbi, Elena Campi, Lorenzo Uccello, Antonino Albanese, Praveen Zalaya, Alessandro Roccasalva, Bruno Lepri:
Autonomous and Human-Driven Vehicles Interacting in a Roundabout: A Quantitative and Qualitative Evaluation. IEEE Access 12: 32693-32705 (2024)- [j13]Gabriele Santin, Tizian Wenzel, Bernard Haasdonk:
On the Optimality of Target-Data-Dependent Kernel Greedy Interpolation in Sobolev Reproducing Kernel Hilbert Spaces. SIAM J. Numer. Anal. 62(5): 2249-2275 (2024) - [c3]Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin:
A Characterization Theorem for Equivariant Networks with Point-wise Activations. ICLR 2024 - [i27]Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin:
A Characterization Theorem for Equivariant Networks with Point-wise Activations. CoRR abs/2401.09235 (2024) - [i26]Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin:
Separation Power of Equivariant Neural Networks. CoRR abs/2406.08966 (2024) - 2023
- [j12]Gabriele Santin:
Equally spaced points are optimal for Brownian Bridge kernel interpolation. Appl. Math. Lett. 137: 108489 (2023) - [j11]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: 114951 (2023) - [j10]Alessandro Alla, Hugo Oliveira, Gabriele Santin:
HJB-RBF Based Approach for the Control of PDEs. J. Sci. Comput. 96(1): 25 (2023) - [j9]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) - [i25]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 abs/2302.01018 (2023) - [i24]Gabriele Santin, Tizian Wenzel, Bernard Haasdonk:
On the optimality of target-data-dependent kernel greedy interpolation in Sobolev Reproducing Kernel Hilbert Spaces. CoRR abs/2307.09811 (2023) - [i23]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 abs/2309.08254 (2023) - 2022
- [j8]Gabriele Santin, Inna Skarbovsky, Fabiana Fournier, Bruno Lepri:
A Framework for Verifiable and Auditable Collaborative Anomaly Detection. IEEE Access 10: 82896-82909 (2022) - [j7]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): 69 (2022) - [j6]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): 5 (2022) - [j5]Francesco Marchetti, Gabriele Santin:
Convergence Results in Image Interpolation With the Continuous SSIM. SIAM J. Imaging Sci. 15(4): 1977-1999 (2022) - [i22]Beatrice Nobile, Gabriele Santin, Bruno Lepri, Pierpaolo Brutti:
Reprogramming FairGANs with Variational Auto-Encoders: A New Transfer Learning Model. CoRR abs/2203.05811 (2022) - [i21]Gabriele Santin, Inna Skarbovsky, Fabiana Fournier, Bruno Lepri:
A Framework for Verifiable and Auditable Federated Anomaly Detection. CoRR abs/2203.07802 (2022) - [i20]Tizian Wenzel, Gabriele Santin, Bernard Haasdonk:
Stability of convergence rates: Kernel interpolation on non-Lipschitz domains. CoRR abs/2203.12532 (2022) - [i19]Tizian Wenzel, Daniel Winkle, Gabriele Santin, Bernard Haasdonk:
Adaptive meshfree solution of linear partial differential equations with PDE-greedy kernel methods. CoRR abs/2207.13971 (2022) - [i18]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 abs/2210.15304 (2022) - [i17]Gabriele Santin:
Equally spaced points are optimal for Brownian Bridge kernel interpolation. CoRR abs/2210.15959 (2022) - [i16]Giacomo Elefante, Wolfgang Erb, Francesco Marchetti, Emma Perracchione, Davide Poggiali, Gabriele Santin:
Interpolation with the polynomial kernels. CoRR abs/2212.07658 (2022) - 2021
- [j4]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: 105508 (2021) - [c2]Tizian Wenzel, Marius Kurz, Andrea Beck, Gabriele Santin, Bernard Haasdonk:
Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows. LSSC 2021: 410-418 - [i15]Salvatore Cuomo, Wolfgang Erb, Gabriele Santin:
Kernel-Based Models for Influence Maximization on Graphs based on Gaussian Process Variance Minimization. CoRR abs/2103.01575 (2021) - [i14]Tizian Wenzel, Marius Kurz, Andrea Beck, Gabriele Santin, Bernard Haasdonk:
Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows. CoRR abs/2103.13655 (2021) - [i13]Tizian Wenzel, Gabriele Santin, Bernard Haasdonk:
Universality and Optimality of Structured Deep Kernel Networks. CoRR abs/2105.07228 (2021) - [i12]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 abs/2105.07411 (2021) - [i11]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 abs/2106.14750 (2021) - [i10]Alessandro Alla, Hugo Oliveira, Gabriele Santin:
HJB-RBF based approach for the control of PDEs. CoRR abs/2108.02987 (2021) - [i9]Francesco Marchetti, Gabriele Santin:
Convergence analysis for image interpolation in terms of the cSSIM. CoRR abs/2108.03879 (2021) - [i8]Rosanna Campagna, Stefano De Marchi, Emma Perracchione, Gabriele Santin:
Greedy algorithms for learning via exponential-polynomial splines. CoRR abs/2109.14299 (2021) - 2020
- [i7]Gabriele Santin, Toni Karvonen, Bernard Haasdonk:
Sampling based approximation of linear functionals in Reproducing Kernel Hilbert Spaces. CoRR abs/2004.00556 (2020) - [i6]Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, Syn Schmitt:
Biomechanical surrogate modelling using stabilized vectorial greedy kernel methods. CoRR abs/2004.12670 (2020) - [i5]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 abs/2012.00338 (2020)
2010 – 2019
- 2019
- [c1]Bernard Haasdonk, Tizian Wenzel, Gabriele Santin, Syn Schmitt:
Biomechanical Surrogate Modelling Using Stabilized Vectorial Greedy Kernel Methods. ENUMATH 2019: 499-508 - [i4]Gabriele Santin, Bernard Haasdonk:
Kernel Methods for Surrogate Modeling. CoRR abs/1907.10556 (2019) - [i3]Tizian Wenzel, Gabriele Santin, Bernard Haasdonk:
A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability & uniform point distribution. CoRR abs/1911.04352 (2019) - 2018
- [i2]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 abs/1802.03064 (2018) - [i1]Tobias Köppl, Gabriele Santin, Bernard Haasdonk, Rainer Helmig:
Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and machine learning techniques. CoRR abs/1802.04628 (2018) - 2016
- [j3]Gabriele Santin, Robert Schaback:
Approximation of eigenfunctions in kernel-based spaces. Adv. Comput. Math. 42(4): 973-993 (2016) - 2013
- [j2]Stefano De Marchi, Gabriele Santin:
A new stable basis for radial basis function interpolation. J. Comput. Appl. Math. 253: 1-13 (2013) - 2011
- [j1]Gabriele Santin, Alvise Sommariva, Marco Vianello:
An algebraic cubature formula on curvilinear polygons. Appl. Math. Comput. 217(24): 10003-10015 (2011)
Coauthor Index
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