4 citations · 4 across the 1 of their papers we have counts for
3 papers
stat.ML2019
Metric Gaussian Variational Inference
Jakob Knollmüller, Torsten A. Enßlin
Solving Bayesian inference problems approximately with variational approaches can provide fast and accurate results. Capturing correlation within the approximation requires an expl…
stat.ML2018★ 4 cited
Encoding prior knowledge in the structure of the likelihood
Jakob Knollmüller, Torsten A. Enßlin
The inference of deep hierarchical models is problematic due to strong dependencies between the hierarchies. We investigate a specific transformation of the model parameters based…
astro-ph.IM2018
Radio Imaging With Information Field Theory
Philipp Arras, Jakob Knollmüller, Henrik Junklewitz +1
Data from radio interferometers provide a substantial challenge for statisticians. It is incomplete, noise-dominated and originates from a non-trivial measurement process. The sign…