SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives

5 March 2020

Stefan Bauer

Papers citing "SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives"

2 / 2 papers shown

Title
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models Lenart Treven Philippe Wenk Florian Dorfler Andreas Krause OOD 42 2 0 22 Jun 2021
High-Dimensional Gaussian Process Inference with Derivatives Filip de Roos A. Gessner Philipp Hennig GP 61 17 0 15 Feb 2021