290 citations · 681 across the 38 of their papers we have counts for
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eess.SY2018
A Distance-based Framework for Gaussian Processes over Probability Distributions
Maxim Dolgov, Uwe D. Hanebeck
Gaussian processes constitute a very powerful and well-understood method for non-parametric regression and classification. In the classical framework, the training data consists of…
eess.SY2018★ 2 cited
FLUX: Progressive State Estimation Based on Zakai-type Distributed Ordinary Differential Equations
Uwe D. Hanebeck
We propose a homotopy continuation method called FLUX for approximating complicated probability density functions. It is based on progressive processing for smoothly morphing a giv…