3 papers
math.NA2026
Adaptive RBF-multiscale approximation on bounded domains
Federico Lot, Christian Rieger
This article addresses adaptivity in the kernel multiscale method. Adaptively compressed kernel multiscale approximations have already been presented and analyzed in (LeGia & Wendl…
math.NA2025
Efficiently parallelizable kernel-based multi-scale algorithm
Federico Lot, Christian Rieger
The kernel-based multi-scale method has been proven to be a powerful approximation method for scattered data approximation problems which is computationally superior to conventiona…
math.NA2022
Variably Scaled Persistence Kernels (VSPKs) for persistent homology applications
Stefano De Marchi, Federico Lot, Francesco Marchetti +1
In recent years, various kernels have been proposed in the context of persistent homology to deal with persistence diagrams in supervised learning approaches. In this paper, we con…