activity
20072026
most citedApproximation of high-dimensional periodic functions with Fourier-based methods

33 citations · 157 across the 27 of their papers we have counts for

collaborators

32 papers

cs.CV2026

OmniPoser: Flexible Human Motion Recovery in the Wild with Masked Flow Matching

Minghao Liu, Tutian Tang

Recovering 3D human motion from sparse wearable sensors is challenging due to the inherent noise, occlusion, and instability of real-world tracking signals. Existing approaches are…

math.NA2026

Learning solution operators of PDEs with sparse approximation methods

Sebastian Neumayer, Daniel Potts, Fabian Taubert

We investigate the approximation of solution operators for partial differential equations (PDEs) using sparse high-dimensional techniques. Building on a dimension-incremental frame…

math.NA2023

Optimal density compensation factors for the reconstruction of the Fourier transform of bandlimited functions

Melanie Kircheis, Daniel Potts

An inverse nonequispaced fast Fourier transform (iNFFT) is a fast algorithm to compute the Fourier coefficients of a trigonometric polynomial from nonequispaced sampling data. Howe…

math.NA2023★ 6 cited

On numerical realizations of Shannon's sampling theorem

Melanie Kircheis, Daniel Potts, Manfred Tasche

In this paper, we discuss some numerical realizations of Shannon's sampling theorem. First we show the poor convergence of classical Shannon sampling sums by presenting sharp upper…

math.NA2023

ANOVA approximation with mixed tensor product basis on scattered points

Daniel Potts, Pascal Schröter

In this paper we consider an orthonormal basis, generated by a tensor product of Fourier basis functions, half period cosine basis functions, and the Chebyshev basis functions. We…

math.NA2023★ 3 cited

Fast and direct inversion methods for the multivariate nonequispaced fast Fourier transform

Melanie Kircheis, Daniel Potts

The well-known discrete Fourier transform (DFT) can easily be generalized to arbitrary nodes in the spatial domain. The fast procedure for this generalization is referred to as non…