Projects

DeepSAM: Machine Learning under Symmetries with Applications in Astronomy and Medicine

While at vastly different scales and proportions, many scientific fields face similar problems. One such problem, shared by both astronomy and …

Dimensionality Reduction

Dimensionality reduction is a topic that permeates many of our interests. An important application for dimensionality reduction is visualisation: “…

Redshift Estimation

We developed a new method to statistically estimate the redshift z based on a similarity approach. This allows to determine …

Galaxy morphology

In the last decades more and more all-sky-surveys created an enormous amount of data which is publicly available on the internet. …

Time series analysis

The project aims to develop methods that can handle time series in unsupervised and supervised scenarios. Time series are often treated …