14 citations · 31 across the 3 of their papers we have counts for
5 papers
Deep learning-based radiointerferometric imaging with GAN-aided training
F. Geyer, K. Schmidt, J. Kummer +7
Radio interferometry invariably suffers from an incomplete coverage of the spatial Fourier space, which leads to imaging artifacts. The current state-of-the-art technique is to cre…
New Angles on Fast Calorimeter Shower Simulation
Sascha Diefenbacher, Engin Eren, Frank Gaede +5
The demands placed on computational resources by the simulation requirements of high energy physics experiments motivate the development of novel simulation tools. Machine learning…
Morphological Classification of Radio Galaxies with wGAN-supported Augmentation
Lennart Rustige, Janis Kummer, Florian Griese +7
Machine learning techniques that perform morphological classification of astronomical sources often suffer from a scarcity of labelled training data. Here, we focus on the case of…
Radio Galaxy Classification with wGAN-Supported Augmentation
Janis Kummer, Lennart Rustige, Florian Griese +6
Novel techniques are indispensable to process the flood of data from the new generation of radio telescopes. In particular, the classification of astronomical sources in images is…
Hadrons, Better, Faster, Stronger
Erik Buhmann, Sascha Diefenbacher, Engin Eren +7
Motivated by the computational limitations of simulating interactions of particles in highly-granular detectors, there exists a concerted effort to build fast and exact machine-lea…