4 citations · 7 across the 5 of their papers we have counts for
5 papers
Exploring Design Choices for Autoregressive Deep Learning Climate Models
Florian Gallusser, Simon Hentschel, Anna Krause +1
Deep Learning models have achieved state-of-the-art performance in medium-range weather prediction but often fail to maintain physically consistent rollouts beyond 14 days. In cont…
GrINd: Grid Interpolation Network for Scattered Observations
Andrzej Dulny, Paul Heinisch, Andreas Hotho +1
Predicting the evolution of spatiotemporal physical systems from sparse and scattered observational data poses a significant challenge in various scientific domains. Traditional me…
Global Vegetation Modeling with Pre-Trained Weather Transformers
Pascal Janetzky, Florian Gallusser, Simon Hentschel +2
Accurate vegetation models can produce further insights into the complex interaction between vegetation activity and ecosystem processes. Previous research has established that lon…
Semi-unsupervised Learning for Time Series Classification
Padraig Davidson, Michael Steininger, André Huhn +2
Time series are ubiquitous and therefore inherently hard to analyze and ultimately to label or cluster. With the rise of the Internet of Things (IoT) and its smart devices, data is…
Open ERP System Data For Occupational Fraud Detection
Julian Tritscher, Fabian Gwinner, Daniel Schlör +2
Recent estimates report that companies lose 5% of their revenue to occupational fraud. Since most medium-sized and large companies employ Enterprise Resource Planning (ERP) systems…