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cs.LG2024★ 1 cited
On the Laplace Approximation as Model Selection Criterion for Gaussian Processes
Andreas Besginow, Jan David Hüwel, Thomas Pawellek +2
Model selection aims to find the best model in terms of accuracy, interpretability or simplicity, preferably all at once. In this work, we focus on evaluating model performance of…
cs.LG2022★ 3 cited
Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations
Andreas Besginow, Markus Lange-Hegermann
Data in many applications follows systems of Ordinary Differential Equations (ODEs). This paper presents a novel algorithmic and symbolic construction for covariance functions of G…