Specifically, we will perform comparisons to the other main types of discretisation methods considered in (Lindeberg, 2024b), based on either (i) explicit convolutions with sampled Gaussian derivative ...

Abstract: Gaussian processes (GPs) stand as crucial tools in machine learning and signal processing, with their effectiveness hinging on kernel design and hyperparameter optimization. This article ...