Interpolation is forecasting using existing data to predict future patterns and values. Being able to forecast helps every business leader make the right decisions when it comes to cutting costs, ...

Abstract: Graph structure is a powerful framework for the characterization of interaction between entities. In the context of graph signal processing, interpolation methods are based on the smoothness ...

Abstract: Interpolation of scattered data is crucial across various domains, and neural networks have proved effective in developing accurate interpolators. While these neural network-based approaches ...

Many papers, examples, and tutorials on interpolation with Radial Basis Functions (RBF) are understandably aimed at mathematicians, computer scientists, and mathematically inclined developers.