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06/30/2023
Bias-Free Estimation of Signals on Top of Unknown Backgrounds
We present a method for obtaining unbiased signal estimates in the prese...
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05/27/2021
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders
Parametric and non-parametric classifiers often have to deal with real-w...
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01/29/2020
Bayesian Reasoning with Deep-Learned Knowledge
We access the internalized understanding of trained, deep neural network...
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01/30/2019
Metric Gaussian Variational Inference
A variational Gaussian approximation of the posterior distribution can b...
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12/11/2018
Encoding prior knowledge in the structure of the likelihood
The inference of deep hierarchical models is problematic due to strong d...
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04/16/2018
Separating diffuse from point-like sources - a Bayesian approach
We present the starblade algorithm, a method to separate superimposed po...
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03/06/2018
Radio Imaging With Information Field Theory
Data from radio interferometers provide a substantial challenge for stat...
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11/08/2017
Inference of signals with unknown correlation structure from non-linear measurements
We present a method to reconstruct auto-correlated signals together with...
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12/26/2016
