Learning Variably Scaled Kernels via Discontinuous Neural Networks (δNN-VSKs)
Feature Understanding and Sparsity Enhancement via 2-Layered kernel machines (2L-FUSE)
Data-driven kernel designs for optimized greedy schemes: A machine learning perspective
Modelling and processing services and tools (work in progress for GeoEssential project)
Kriging Estimator based on the Partition of Unity method - KEPU
Fast and Stable Rational RBF-based Partition of Unity interpolation
Hybrid Variably Scaled Kernels by Partition of Unity for elliptic PDEs
Robust approximation algorithms for the detection of attraction basins in dynamical systems
Fast computation of partition of unity interpolants through block-based data structures
Partition of unity interpolation using stable kernel-based techniques
Optimal selection of local approximants in RBF-PU interpolation