76 citations · 424 across the 28 of their papers we have counts for
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stat.ML2023★ 1 cited
A parsimonious, computationally efficient machine learning method for spatial regression
Milan Žukovič, Dionissios T. Hristopulos
We introduce the modified planar rotator method (MPRS), a physically inspired machine learning method for spatial/temporal regression. MPRS is a non-parametric model which incorpor…
stat.ML2023★ 18 cited
Non-separable Covariance Kernels for Spatiotemporal Gaussian Processes based on a Hybrid Spectral Method and the Harmonic Oscillator
Dionissios T. Hristopulos
Gaussian processes provide a flexible, non-parametric framework for the approximation of functions in high-dimensional spaces. The covariance kernel is the main engine of Gaussian…