2 citations · 3 across the 4 of their papers we have counts for
4 papers
From Radar to Risk: Building a High-Resolution Hail Database for Austria And Estimating Risk Through the Integration of Distributional Neural Networks into the Metastatistical Framework
Gregor Ehrensperger, Vera Katharina Meyer, Marc-André Falkensteiner +1
This study makes significant contributions to the understanding of hail climatology in Austria. First, it introduces a comprehensive database of hailstone sizes, constructed from t…
Rule Learning by Modularity
Albert Nössig, Tobias Hell, Georg Moser
In this paper, we present a modular methodology that combines state-of-the-art methods in (stochastic) machine learning with traditional methods in rule learning to provide efficie…
Cluster-Based Autoencoders for Volumetric Point Clouds
Stephan Antholzer, Martin Berger, Tobias Hell
Autoencoders allow to reconstruct a given input from a small set of parameters. However, the input size is often limited due to computational costs. We therefore propose a clusteri…
Identifying Lightning Processes in ERA5 Soundings with Deep Learning
Gregor Ehrensperger, Thorsten Simon, Georg J. Mayr +1
Atmospheric environments favorable for lightning and convection are commonly represented by proxies or parameterizations based on expert knowledge such as CAPE, wind shears, charge…