1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2023
Projecting basis functions with tensor networks for Gaussian process regression
Clara Menzen, Eva Memmel, Kim Batselier +1
This paper presents a method for approximate Gaussian process (GP) regression with tensor networks (TNs). A parametric approximation of a GP uses a linear combination of basis func…
stat.ML2023★ 1 cited
Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression
Clara Menzen, Marnix Fetter, Manon Kok
We present a mapping algorithm to compute large-scale magnetic field maps in indoor environments with approximate Gaussian process (GP) regression. Mapping the spatial variations i…