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09/15/2023
Quantitative and Qualitative Evaluation of Reinforcement Learning Policies for Autonomous Vehicles
Optimizing traffic dynamics in an evolving transportation landscape is c...
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07/19/2023
On the optimality of target-data-dependent kernel greedy interpolation in Sobolev Reproducing Kernel Hilbert Spaces
Kernel interpolation is a versatile tool for the approximation of functi...
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02/02/2023
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
Graph Neural Networks (GNNs) have become the leading paradigm for learni...
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12/15/2022
Interpolation with the polynomial kernels
The polynomial kernels are widely used in machine learning and they are ...
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10/28/2022
Equally spaced points are optimal for Brownian Bridge kernel interpolation
In this paper we show how ideas from spline theory can be used to constr...
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10/27/2022
Explaining the Explainers in Graph Neural Networks: a Comparative Study
Following a fast initial breakthrough in graph based learning, Graph Neu...
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07/28/2022
Adaptive meshfree solution of linear partial differential equations with PDE-greedy kernel methods
We consider the meshless solution of PDEs via symmetric kernel collocati...
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03/23/2022
Stability of convergence rates: Kernel interpolation on non-Lipschitz domains
Error estimates for kernel interpolation in Reproducing Kernel Hilbert S...
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03/15/2022
A Framework for Verifiable and Auditable Federated Anomaly Detection
Federated Leaning is an emerging approach to manage cooperation between ...
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03/11/2022
Reprogramming FairGANs with Variational Auto-Encoders: A New Transfer Learning Model
Fairness-aware GANs (FairGANs) exploit the mechanisms of Generative Adve...
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09/29/2021
Greedy algorithms for learning via exponential-polynomial splines
Kernel-based schemes are state-of-the-art techniques for learning by dat...
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08/09/2021
Convergence analysis for image interpolation in terms of the cSSIM
Assessing the similarity of two images is a complex task that has attrac...
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08/06/2021
HJB-RBF based approach for the control of PDEs
Semi-lagrangian schemes for discretization of the dynamic programming pr...
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05/16/2021
Analysis of target data-dependent greedy kernel algorithms: Convergence rates for f-, f · P- and f/P-greedy
Data-dependent greedy algorithms in kernel spaces are known to provide f...
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05/15/2021
Universality and Optimality of Structured Deep Kernel Networks
Kernel based methods yield approximation models that are flexible, effic...
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03/25/2021
Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows
Standard kernel methods for machine learning usually struggle when deali...
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03/02/2021
Kernel-Based Models for Influence Maximization on Graphs based on Gaussian Process Variance Minimization
The inference of novel knowledge, the discovery of hidden patterns, and ...
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12/01/2020
Kernel methods for center manifold approximation and a data-based version of the Center Manifold Theorem
For dynamical systems with a non hyperbolic equilibrium, it is possible ...
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04/27/2020
Biomechanical surrogate modelling using stabilized vectorial greedy kernel methods
Greedy kernel approximation algorithms are successful techniques for spa...
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04/01/2020
Sampling based approximation of linear functionals in Reproducing Kernel Hilbert Spaces
In this paper we analyze a greedy procedure to approximate a linear func...
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11/11/2019
A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability uniform point distribution
Kernel based methods provide a way to reconstruct potentially high-dimen...
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07/24/2019
Kernel Methods for Surrogate Modeling
This chapter deals with kernel methods as a special class of techniques ...
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02/13/2018
Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and kernel methods
In this work, we consider two kinds of model reduction techniques to sim...
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02/13/2018
Numerical modelling of a peripheral arterial stenosis using dimensionally reduced models and machine learning techniques
In this work, we consider two kinds of model reduction techniques to sim...
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02/08/2018
