Applications of the monotonicity of extremal zeros of orthogonal polynomials in interlacing and optimization problems. - Wolfgang Erb; Ferenc Toókos (Appl. Math. Comput., 2011)

An orthogonal polynomial analogue of the Landau-Pollak-Slepian time-frequency analysis. - Wolfgang Erb (J. Approx. Theory, 2013)

Accelerated Landweber methods based on co-dilated orthogonal polynomials. - Wolfgang Erb (Numer. Algorithms, 2015)

Bivariate Lagrange interpolation at the node points of Lissajous curves - the degenerate case. - Wolfgang Erb (Appl. Math. Comput., 2016)

Bivariate Lagrange interpolation at the node points of non-degenerate Lissajous curves. - Wolfgang Erb; Christian Kaethner; Mandy Ahlborg; Thorsten M. Buzug (Numerische Mathematik, 2016)

Non-Equispaced System Matrix Acquisition for Magnetic Particle Imaging Based on Lissajous Node Points. - Christian Kaethner; Wolfgang Erb; Mandy Ahlborg; Patryk Szwargulski; Tobias Knopp 001; Thorsten M. Buzug (IEEE Trans. Medical Imaging, 2016)

Multivariate polynomial interpolation on Lissajous-Chebyshev nodes. - Peter Dencker; Wolfgang Erb (J. Approx. Theory, 2017)

Lebesgue constants for polyhedral sets and polynomial interpolation on Lissajous-Chebyshev nodes. - Peter Dencker; Wolfgang Erb; Yurii Kolomoitsev; Tetiana Lomako (J. Complex., 2017)

Direct Image Reconstruction of Lissajous-Type Magnetic Particle Imaging Data Using Chebyshev-Based Matrix Compression. - Leonard Schmiester; Martin Möddel; Wolfgang Erb; Tobias Knopp 001 (IEEE Trans. Computational Imaging, 2017)

Graph signal interpolation with Positive Definite Graph Basis Functions. - Wolfgang Erb (CoRR, 2019)

Linear Graph Convolutional Networks. - Nicolò Navarin; Wolfgang Erb; Luca Pasa; Alessandro Sperduti (ESANN, 2020)

Semi-Supervised Learning on Graphs with Feature-Augmented Graph Basis Functions. - Wolfgang Erb (CoRR, 2020)

A new 3D model for magnetic particle imaging using realistic magnetic field topologies for algebraic reconstruction. - Gaël Bringout; Wolfgang Erb; Jürgen Frikel (CoRR, 2020)

Partition of Unity Methods for Signal Processing on Graphs. - Roberto Cavoretto; Alessandra De Rossi; Wolfgang Erb (CoRR, 2020)

Shape-Driven Interpolation With Discontinuous Kernels: Error Analysis, Edge Extraction, and Applications in Magnetic Particle Imaging. - Stefano De Marchi; Wolfgang Erb; Francesco Marchetti; Emma Perracchione; M. Rossini (SIAM J. Sci. Comput., 2020)

Simple Graph Convolutional Networks. - Luca Pasa; Nicolò Navarin; Wolfgang Erb; Alessandro Sperduti (CoRR, 2021)

On Kosloff Tal-Ezer least-squares quadrature formulas. - Giacomo Cappellazzo; Wolfgang Erb; Francesco Marchetti; Davide Poggiali (CoRR, 2021)

Shapes of Uncertainty in Spectral Graph Theory. - Wolfgang Erb (IEEE Trans. Inf. Theory, 2021)

Backpropagation-free Graph Neural Networks. - Luca Pasa; Nicolò Navarin; Wolfgang Erb; Alessandro Sperduti (ICDM, 2022)

Interpolation with the polynomial kernels. - Giacomo Elefante; Wolfgang Erb; Francesco Marchetti; Emma Perracchione; Davide Poggiali; Gabriele Santin (CoRR, 2022)

Krylov subspace methods to accelerate kernel machines on graphs. - Wolfgang Erb (CoRR, 2023)

Highly Localized RBF Lagrange Functions for Finite Difference Methods on Spheres. - Wolfgang Erb; Thomas Hangelbroek; Francis J. Narcowich; Christian Rieger; Joseph D. Ward (CoRR, 2023)

Kernel-based models for influence maximization on graphs based on Gaussian process variance minimization. - Salvatore Cuomo; Wolfgang Erb; Gabriele Santin (J. Comput. Appl. Math., 2023)

Graph Wedgelets: Adaptive Data Compression on Graphs Based on Binary Wedge Partitioning Trees and Geometric Wavelets. - Wolfgang Erb (IEEE Trans. Signal Inf. Process. over Networks, 2023)

The Fekete problem in segmental polynomial interpolation. - Ludovico Bruni Bruno; Wolfgang Erb (CoRR, 2024)

Lp-convergence of Kantorovich-type Max-Min Neural Network Operators. - Ismail Aslan; Stefano De Marchi; Wolfgang Erb (CoRR, 2024)

Polynomial Interpolation of Function Averages on Interval Segments. - Ludovico Bruni Bruno; Wolfgang Erb (SIAM J. Numer. Anal., 2024)

A unified framework for backpropagation-free soft and hard gated graph neural networks. - Luca Pasa; Nicolò Navarin; Wolfgang Erb; Alessandro Sperduti (Knowl. Inf. Syst., 2024)

Empowering Simple Graph Convolutional Networks. - Luca Pasa; Nicolò Navarin; Wolfgang Erb; Alessandro Sperduti (IEEE Trans. Neural Networks Learn. Syst., 2024)

Split-and-Merge Segmentation of Biomedical Images Using Graph Wedgelet Decompositions. - Wolfgang Erb (ICCSA (Workshops 14), 2025)

Bivariate polynomial histopolation techniques on Padua, Fekete and Leja triangles. - Ludovico Bruni Bruno; Francesco Dell'Accio; Wolfgang Erb; Federico Nudo (CoRR, 2025)

Polynomial Histopolation On Mock-Chebyshev Segments. - Ludovico Bruni Bruno; Francesco Dell'Accio; Wolfgang Erb; Federico Nudo (J. Sci. Comput., 2025)