Wolfgang Erb | DeepAI

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∙ 09/01/2023

Polynomial Interpolation of Function Averages on Interval Segments

Motivated by polynomial approximations of differential forms, we study a...

0 Ludovico Bruni Bruno, et al. ∙

∙ 02/16/2023

Highly Localized RBF Lagrange Functions for Finite Difference Methods on Spheres

The aim of this paper is to show how rapidly decaying RBF Lagrange funct...

0 Wolfgang Erb, et al. ∙

∙ 01/16/2023

Krylov subspace methods to accelerate kernel machines on graphs

In classical frameworks as the Euclidean space, positive definite kernel...

0 Wolfgang Erb, et al. ∙

∙ 12/15/2022

Interpolation with the polynomial kernels

The polynomial kernels are widely used in machine learning and they are ...

0 Giacomo Elefante, et al. ∙

∙ 10/17/2021

Graph Wedgelets: Adaptive Data Compression on Graphs based on Binary Wedge Partitioning Trees and Geometric Wavelets

We introduce graph wedgelets - a tool for data compression on graphs bas...

0 Wolfgang Erb, et al. ∙

∙ 09/27/2021

On Kosloff Tal-Ezer least-squares quadrature formulas

In this work, we study a global quadrature scheme for analytic functions...

0 Giacomo Cappellazzo, et al. ∙

∙ 06/10/2021

Simple Graph Convolutional Networks

Many neural networks for graphs are based on the graph convolution opera...

0 Luca Pasa, et al. ∙

∙ 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 ...

0 Salvatore Cuomo, et al. ∙

∙ 12/19/2020

Partition of Unity Methods for Signal Processing on Graphs

Partition of unity methods (PUMs) on graphs are simple and highly adapti...

0 Roberto Cavoretto, et al. ∙

∙ 04/28/2020

A new 3D model for magnetic particle imaging using realistic magnetic field topologies for algebraic reconstruction

We derive a new 3D model for magnetic particle imaging (MPI) that is abl...

0 Gaël Bringout, et al. ∙

∙ 03/17/2020

Semi-Supervised Learning on Graphs with Feature-Augmented Graph Basis Functions

For semi-supervised learning on graphs, we study how initial kernels in ...

0 Wolfgang Erb, et al. ∙

∙ 12/04/2019

Graph signal interpolation with Positive Definite Graph Basis Functions

For the interpolation of graph signals with generalized shifts of a grap...

0 Wolfgang Erb, et al. ∙

∙ 09/19/2019

Shapes of Uncertainty in Spectral Graph Theory

We present a flexible framework for uncertainty principles in spectral g...

0 Wolfgang Erb, et al. ∙

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