We have successfully acquired funding for a three year DFG project in cooperation with the Chair for Computer Philology and History of Contemporary German Literature (Prof. Fotis Jannidis). The goal of the project is to improve the capabilities of Language Models to model characters in literary texts - an area where even current models often still struggle to provide a good representation of the text's content, the story. If you're interested in joining, please contact us!
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We show that architectures from the machine learning domain of continual learning can help language models to procedurally learn facts about the world.
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We design a multi-agent simulation that can produce company data that also contains hidden fraud cases.
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We rigorously evaluate commonly used approaches that explain the decisions of network attack detection systems.
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In our work we propose a method for learning explicit representations of PDEs from non-grid data
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Mehr kooperierende Betriebe, höhere Förderung, ein neuer Partner innerhalb der Uni: BigData@Geo geht in die zweite Runde und will mit Hilfe von Klimadaten konkrete Handlungsempfehlungen für Unternehmen mit Naturbezug erstellen.
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In our work we present a benchmark dataset for learning forecasts of dynamical systems on non-grid structured data
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In our paper we propose a method allowing the comparison of human behaviour across behavioural networks with different properties.
moreDr Anna Krause is co-organizing the workshop "Neuro-Explicit AI and Expert-Informed Machine Learning for Engineering and Physical Sciences (ExML)" at ECMLPKDD 2023.
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In our paper, we conduct an initial study to investigate the use of audio data from the We4Bee project in detecting bee swarming.
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