264 citations · 937 across the 33 of their papers we have counts for
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Measuring Young Stars in Space and Time -- II. The Pre-Main-Sequence Stellar Content of N44
Victor F. Ksoll, Dimitrios Gouliermis, Elena Sabbi +9
The Hubble Space Telescope (HST) survey Measuring Young Stars in Space and Time (MYSST) entails some of the deepest photometric observations of extragalactic star formation, captur…
Measuring Young Stars in Space and Time -- I. The Photometric Catalog and Extinction Properties of N44
Victor F. Ksoll, Dimitrios Gouliermis, Elena Sabbi +9
In order to better understand the role of high-mass stellar feedback in regulating star formation in giant molecular clouds, we carried out a Hubble Space Telescope (HST) Treasury…
Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging
Jan-Hinrich Nölke, Tim Adler, Janek Gröhl +5
Multispectral photoacoustic imaging (PAI) is an emerging imaging modality which enables the recovery of functional tissue parameters such as blood oxygenation. However, the underly…
Learning Robust Models Using The Principle of Independent Causal Mechanisms
Jens Müller, Robert Schmier, Lynton Ardizzone +2
Standard supervised learning breaks down under data distribution shift. However, the principle of independent causal mechanisms (ICM, Peters et al. (2017)) can turn this weakness i…
OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany
Stefan T. Radev, Frederik Graw, Simiao Chen +4
Mathematical models in epidemiology are an indispensable tool to determine the dynamics and important characteristics of infectious diseases. Apart from their scientific merit, the…
Stellar Parameter Determination from Photometry using Invertible Neural Networks
Victor F. Ksoll, Lynton Ardizzone, Ralf Klessen +7
Photometric surveys with the Hubble Space Telescope (HST) allow us to study stellar populations with high resolution and deep coverage, with estimates of the physical parameters of…