We present a method for obtaining unbiased signal estimates in the prese...
Parametric and non-parametric classifiers often have to deal with real-w...
We access the internalized understanding of trained, deep neural network...
A variational Gaussian approximation of the posterior distribution can b...
The inference of deep hierarchical models is problematic due to strong
d...
We present the starblade algorithm, a method to separate superimposed po...
Data from radio interferometers provide a substantial challenge for
stat...
We present a method to reconstruct auto-correlated signals together with...
The inference of correlated signal fields with unknown correlation struc...