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pro vyhledávání: '"Hotho, A."'
We create two German-only decoder models, LL\"aMmlein 120M and 1B, transparently from scratch and publish them, along with the training data, for the German NLP research community to use. The model training involved several key steps, including exten
Externí odkaz:
http://arxiv.org/abs/2411.11171
The detection of cyber-attacks in computer networks is a crucial and ongoing research challenge. Machine learning-based attack classification offers a promising solution, as these models can be continuously updated with new data, enhancing the effect
Externí odkaz:
http://arxiv.org/abs/2408.16034
Analyzing sequences of interactions between users and items, sequential recommendation models can learn user intent and make predictions about the next item. Next to item interactions, most systems also have interactions with what we call non-item pa
Externí odkaz:
http://arxiv.org/abs/2408.15953
External influences such as traffic and environmental factors induce vibrations in structures, leading to material degradation over time. These vibrations result in cracks due to the material's lack of plasticity compromising structural integrity. De
Externí odkaz:
http://arxiv.org/abs/2407.00140
Predicting the evolution of spatiotemporal physical systems from sparse and scattered observational data poses a significant challenge in various scientific domains. Traditional methods rely on dense grid-structured data, limiting their applicability
Externí odkaz:
http://arxiv.org/abs/2403.19570
Accurate vegetation models can produce further insights into the complex interaction between vegetation activity and ecosystem processes. Previous research has established that long-term trends and short-term variability of temperature and precipitat
Externí odkaz:
http://arxiv.org/abs/2403.18438
Autor:
Koopmann, Tobias, Pfister, Jan, Markus, André, Carolus, Astrid, Wienrich, Carolin, Hotho, Andreas
Analyzing, understanding, and describing human behavior is advantageous in different settings, such as web browsing or traffic navigation. Understanding human behavior naturally helps to improve and optimize the underlying infrastructure or user inte
Externí odkaz:
http://arxiv.org/abs/2310.04477
This article presents a new dataset containing motion and physiological data of users playing the game "Half-Life: Alyx". The dataset specifically targets behavioral and biometric identification of XR users. It includes motion and eye-tracking data c
Externí odkaz:
http://arxiv.org/abs/2308.03788
Modeling data obtained from dynamical systems has gained attention in recent years as a challenging task for machine learning models. Previous approaches assume the measurements to be distributed on a grid. However, for real-world applications like w
Externí odkaz:
http://arxiv.org/abs/2306.14511
Publikováno v:
Machine Learning and Knowledge Discovery in Databases: Research Track. ECML PKDD 2023. Lecture Notes in Computer Science(), vol 14169, p. 438-455. Springer, Cham
Previous work on learning physical systems from data has focused on high-resolution grid-structured measurements. However, real-world knowledge of such systems (e.g. weather data) relies on sparsely scattered measuring stations. In this paper, we int
Externí odkaz:
http://arxiv.org/abs/2306.05805