Zobrazeno 1 - 10
of 2 544
pro vyhledávání: '"P Bartelt"'
The performance of neural networks increases steadily, but our understanding of their decision-making lags behind. Concept Bottleneck Models (CBMs) address this issue by incorporating human-understandable concepts into the prediction process, thereby
Externí odkaz:
http://arxiv.org/abs/2412.11576
Autor:
Kolthoff, Kristian, Kretzer, Felix, Fiebig, Lennart, Bartelt, Christian, Maedche, Alexander, Ponzetto, Simone Paolo
Graphical user interface (GUI) prototyping represents an essential activity in the development of interactive systems, which are omnipresent today. GUI prototypes facilitate elicitation of requirements and help to test, evaluate, and validate ideas w
Externí odkaz:
http://arxiv.org/abs/2412.11328
Autor:
Betz, Patrick, Stelzner, Nathanael, Meilicke, Christian, Stuckenschmidt, Heiner, Bartelt, Christian
In this technical report, we investigate the predictive performance differences of a rule-based approach and the GNN architectures NBFNet and A*Net with respect to knowledge graph completion. For the two most common benchmarks, we find that a substan
Externí odkaz:
http://arxiv.org/abs/2412.05114
Autor:
Bartelt, Dare, Mansfield, Megan Weiner, Line, Michael R., Parmentier, Vivien, Welbanks, Luis, Lee, Elspeth K. H., Sanchez, Jorge, Savel, Arjun B., Smith, Peter C. B., Rauscher, Emily, Wardenier, Joost P.
Measuring the abundances of carbon- and oxygen-bearing molecules has been a primary focus in studying the atmospheres of hot Jupiters, as doing so can help constrain the carbon-to-oxygen (C/O) ratio. The C/O ratio can help reveal the evolution and fo
Externí odkaz:
http://arxiv.org/abs/2411.17923
Requirements Elicitation (RE) is a crucial activity especially in the early stages of software development. GUI prototyping has widely been adopted as one of the most effective RE techniques for user-facing software systems. However, GUI prototyping
Externí odkaz:
http://arxiv.org/abs/2409.16388
Outlier detection is a crucial analytical tool in various fields. In critical systems like manufacturing, malfunctioning outlier detection can be costly and safety-critical. Therefore, there is a significant need for explainable artificial intelligen
Externí odkaz:
http://arxiv.org/abs/2409.01713
We present a new approach to goal recognition that involves comparing observed facts with their expected probabilities. These probabilities depend on a specified goal g and initial state s0. Our method maps these probabilities and observed facts into
Externí odkaz:
http://arxiv.org/abs/2408.14224
Autor:
Marton, Sascha, Grams, Tim, Vogt, Florian, Lüdtke, Stefan, Bartelt, Christian, Stuckenschmidt, Heiner
Reinforcement learning (RL) has seen significant success across various domains, but its adoption is often limited by the black-box nature of neural network policies, making them difficult to interpret. In contrast, symbolic policies allow representi
Externí odkaz:
http://arxiv.org/abs/2408.08761
Autor:
Tschalzev, Andrej, Marton, Sascha, Lüdtke, Stefan, Bartelt, Christian, Stuckenschmidt, Heiner
Tabular data is prevalent in real-world machine learning applications, and new models for supervised learning of tabular data are frequently proposed. Comparative studies assessing the performance of models typically consist of model-centric evaluati
Externí odkaz:
http://arxiv.org/abs/2407.02112
Autor:
Tschalzev, Andrej, Nitschke, Paul, Kirchdorfer, Lukas, Lüdtke, Stefan, Bartelt, Christian, Stuckenschmidt, Heiner
Neural networks often assume independence among input data samples, disregarding correlations arising from inherent clustering patterns in real-world datasets (e.g., due to different sites or repeated measurements). Recently, mixed effects neural net
Externí odkaz:
http://arxiv.org/abs/2407.01115