So schnell kann es gehen: Nach nur einem Jahr Bauzeit war der Neubau für das KI-Zentrum CAIDAS der Universität fertig. Zur Eröffnung kam Bayerns Wissenschaftsminister Markus Blume.
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In our paper, we use generative diffusion models to aid a specific type of explainable AI methods, allowing them to better explain machine learning models that detect anomalous activities.
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In our paper, we assemble a broad Natural Language Understanding benchmark suite for the German language and consequently evaluate a wide array of existing German-capable models in order to create a better understanding of the current state of German LLMs.
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Our paper "Marina: Realizing ML-driven Real-time Network Traffic Monitoring at Terabit Scale" has been accepted in the IEEE journal on Transactions on Network and Service Management. The paper is a result of our cooperation with the Prof. Dr. Tobias Hoßfeld and the chair of Communication Networks at the University of Würzburg.
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We participated in two SemEval tasks and placed first on average in SemEval'24 Task 4!! OTTERly fantastic!
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Our paper "CompTrails: comparing hypotheses across behavioral networks" has been published in the DAMI Journal and is open accessible.
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At the 4th international workshop on advanced neural algorithms and theories for recommender systems we won the award for the best Paper with "Enhancing Sequential Next-Item Prediction through Modelling Non-Item Pages".
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The MAGNET4Cardiac7T Project has been granted 40.000 GPU-hours in the Erlangen National High Performance Computing Center for training several deep learning models for simulating electromagnetic fields.
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