79 citations · 370 across the 33 of their papers we have counts for
3 papers · 1 filter
Data Association with Gaussian Processes
Markus Kaiser, Clemens Otte, Thomas Runkler +1
The data association problem is concerned with separating data coming from different generating processes, for example when data come from different data sources, contain significa…
Sensitivity Analysis for Predictive Uncertainty in Bayesian Neural Networks
Stefan Depeweg, José Miguel Hernández-Lobato, Steffen Udluft +1
We derive a novel sensitivity analysis of input variables for predictive epistemic and aleatoric uncertainty. We use Bayesian neural networks with latent variables as a model class…
Bayesian Alignments of Warped Multi-Output Gaussian Processes
Markus Kaiser, Clemens Otte, Thomas Runkler +1
We propose a novel Bayesian approach to modelling nonlinear alignments of time series based on latent shared information. We apply the method to the real-world problem of finding c…