46 citations · 99 across the 29 of their papers we have counts for
32 papers
Adaptive RBF-KAN: A Comparative Evaluation of Dynamic Shape Parameters in Kolmogorov-Arnold Networks
Roberto Cavoretto, Alessandra De Rossi, Adeeba Haider +1
Kolmogorov-Arnold Networks (KANs) approximate multivariate functions using learnable univariate edge functions, typically parameterized by B-spline bases. Although effective, splin…
Graph Neural Networks for Community Detection in Graph Signal Analysis
Roberto Cavoretto, Alessandra De Rossi, Enrico Montini
Community detection is a central problem in graph analysis, with applications ranging from network science to graph signal processing. In recent years, Graph Neural Networks (GNNs)…
Nonsingularity of unsymmetric Kansa matrices: random collocation by MultiQuadrics and Inverse MultiQuadrics
R. Cavoretto, F. Dell'Accio, A. De Rossi +2
Unisolvence of unsymmetric Kansa collocation is still a substantially open problem. We prove that Kansa matrices with MultiQuadrics and Inverse MultiQuadrics for the Dirichlet prob…
Node-Bound Communities for Partition of Unity Interpolation on Graphs
Roberto Cavoretto, Alessandra De Rossi, Sandro Lancellotti +1
Graph signal processing benefits significantly from the direct and highly adaptable supplementary techniques offered by partition of unity methods (PUMs) on graphs. In our approach…
Bayesian Approach for Radial Kernel Parameter Tuning
Roberto Cavoretto, Alessandra De Rossi, Sandro Lancellotti
In this paper we present a new fast and accurate method for Radial Basis Function (RBF) approximation, including interpolation as a special case, which enables us to effectively fi…
Node-Binded Communities for Interpolation on Graphs
Roberto Cavoretto, Alessandra De Rossi, Sandro Lancellotti +1
Partition of unity methods (PUMs) on graphs represent straightforward and remarkably adaptable auxiliary techniques for graph signal processing. By relying solely on the intrinsic…
Parameter Tuning in the Radial Kernel-Based Partition of Unity Method by Bayesian Optimization
Roberto Cavoretto, Alessandra De Rossi, Sandro Lancellotti +1
In this paper, we employ Bayesian optimization to concurrently explore the optimal values for both the shape parameter and the radius in the partition of unity interpolation using…
A Bayesian Approach for Simultaneously Radial Kernel Parameter Tuning in the Partition of Unity Method
Roberto Cavoretto, Alessandra De Rossi, Sandro Lancellotti +1
In this paper, Bayesian optimisation is used to simultaneously search the optimal values of the shape parameter and the radius in radial basis function partition of unity interpola…
Numerical cubature on scattered data by adaptive interpolation
R. Cavoretto, F. Dell'Accio, A. De Rossi +4
We construct cubature methods on scattered data via resampling on the support of known algebraic cubature formulas, by different kinds of adaptive interpolation (polynomial, RBF, P…
Anisotropic weights for RBF-PU interpolation with subdomains of variable shapes
R. Cavoretto, A. De Rossi, G. E. Fasshauer +2
The partition of unity (PU) method, performed with local radial basis function (RBF) approximants, has already been proved to be an effective tool for solving interpolation or coll…
Adaptive meshless refinement schemes for RBF-PUM collocation
R. Cavoretto, A. De Rossi
In this paper we present an adaptive discretization technique for solving elliptic partial differential equations via a collocation radial basis function partition of unity method.…
Numerical Methods for Pulmonary Image Registration
Roberto Cavoretto, Alessandra De Rossi, Roberta Freda +2
Due to complexity and invisibility of human organs, diagnosticians need to analyze medical images to determine where the lesion region is, and which kind of disease is, in order to…
Hermite-Birkhoff interpolation on scattered data on the sphere and other manifolds
Giampietro Allasia, Roberto Cavoretto, Alessandra De Rossi
The Hermite-Birkhoff interpolation problem of a function given on arbitrarily distributed points on the sphere and other manifolds is considered. Each proposed interpolant is expre…
Optimal selection of local approximants in RBF-PU interpolation
Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione
The Partition of Unity (PU) method, performed with local Radial Basis Function (RBF) approximants, has been proved to be an effective tool for solving large scattered data interpol…
Positive constrained approximation via RBF-based partition of unity method
Alessandra De Rossi, Emma Perracchione
In this paper, we discuss the problem of constructing Radial Basis In this paper, we discuss the problem of constructing Radial Basis Function (RBF)-based Partition of Unity (PU) i…
On the topology preservation of Gneiting's functions in image registration
Chiara Bosica, Roberto Cavoretto, Alessandra De Rossi +1
The purpose of image registration is to determine a transformation such that the transformed version of the source image is similar to the target one. In this paper we focus on lan…
RBF-PU Interpolation with Variable Subdomain Sizes and Shape Parameters
Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione
In this paper, we deal with the challenging computational issue of interpolating large data sets, with eventually non-homogeneous densities. To such scope, the Radial Basis Functio…
Hermite-Birkhoff Interpolation on Arbitrarily Distributed Data on the Sphere and Other Manifolds
Giampietro Allasia, Roberto Cavoretto, Alessandra De Rossi
We consider the problem of interpolating a function given on scattered points using Hermite-Birkhoff formulas on the sphere and other manifolds. We express each proposed interpolan…
Partition of unity interpolation using stable kernel-based techniques
R. Cavoretto, S. De Marchi, A. De Rossi +2
In this paper we propose a new stable and accurate approximation technique which is extremely effective for interpolating large scattered data sets. The Partition of Unity (PU) met…
Efficient computation of partition of unity interpolants through a block-based searching technique
R. Cavoretto, A. De Rossi, E. Perracchione
In this paper we propose a new efficient interpolation tool, extremely suitable for large scattered data sets. The partition of unity method is used and performed by blending Radia…
Approximating basins of attraction for dynamical systems via stable radial bases
Roberto Cavoretto, Stefano De Marchi, Alessandra De Rossi +2
In applied sciences, such as physics and biology, it is often required to model the evolution of populations via dynamical systems. In this paper, we focus on the problem of approx…
Fast and flexible interpolation via PUM with applications in population dynamics
Alessandra De Rossi, Roberto Cavoretto, Emma Perracchione
In this paper the Partition of Unity Method (PUM) is efficiently performed using Radial Basis Functions (RBFs) as local approximants. In particular, we present a new space-partitio…
Robust approximation algorithms for the detection of attraction basins in dynamical systems
Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione +1
In dynamical systems saddle points partition the domain into basins of attractions of the remaining locally stable equilibria. This problem is rather common especially in populatio…
Reliable approximation of separatrix manifolds in competition models with safety niches
Roberto Cavoretto, Alessandra De Rossi, Emma Perracchione +1
In dynamical systems saddle points partition the domain into basins of attractions of the remaining locally stable equilibria. This situation is rather common especially in populat…