2 papers
stat.ME2026
Gaussian Process Differential Ensembles for Joint Inference on Curves, Derivatives, and Integrals
Andreas Kryger Jensen, Adam Gorm Hoffmann
Functional data are often modeled through one likelihood-linked curve, while the scientific target is a larger state containing rates, accumulated quantities, boundary values, or n…
stat.ML2025
Towards a pretrained deep learning estimator of the Linfoot informational correlation
Stéphanie M. van den Berg, Ulrich Halekoh, Sören Möller +2
We develop a supervised deep-learning approach to estimate mutual information between two continuous random variables. As labels, we use the Linfoot informational correlation, a tr…