Search Results for author:
Found 6 papers, 1 papers with code
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders
This constitutes a statistical inference task in terms of the optimal latent space activations of the underlying uncorrupted datum.
Variable structures in M87* from space, time and frequency resolved interferometry
Observing the dynamics of compact astrophysical objects provides insights into their inner workings, thereby probing physics under extreme conditions.
Instrumentation and Methods for Astrophysics Astrophysics of Galaxies
Bayesian Reasoning with Trained Neural Networks
We showed how to use trained neural networks to perform Bayesian reasoning in order to solve tasks outside their initial scope.
Metric Gaussian Variational Inference
We propose Metric Gaussian Variational Inference (MGVI) as a method that goes beyond mean-field.
Encoding prior knowledge in the structure of the likelihood
This transformation is a special form of the reparametrization trick, flattens the hierarchy and leads to a standard Gaussian prior on all resulting parameters.
Correlated signal inference by free energy exploration
The inference of correlated signal fields with unknown correlation structures is of high scientific and technological relevance, but poses significant conceptual and numerical challenges.
