9 citations · 24 across the 15 of their papers we have counts for
6 papers · 1 filter
ConTex: Reformulating Counterfactual Generation For Time Series Forecasting
Jan Voets, Hasan Tercan, Tobias Meisen +1
Decision-making with deep learning-based time series forecasting requires not only accurate predictions but also actionable insights. However, current architectures do not inherent…
EXCODER: EXplainable Classification Of DiscretE time series Representations
Yannik Hahn, Antonin Königsfeld, Hasan Tercan +1
Deep learning has significantly improved time series classification, yet the lack of explainability in these models remains a major challenge. While Explainable AI (XAI) techniques…
Out of Distribution Detection for Efficient Continual Learning in Quality Prediction for Arc Welding
Yannik Hahn, Jan Voets, Antonin Koenigsfeld +2
Modern manufacturing relies heavily on fusion welding processes, including gas metal arc welding (GMAW). Despite significant advances in machine learning-based quality prediction,…
CASPFormer: Trajectory Prediction from BEV Images with Deformable Attention
Harsh Yadav, Maximilian Schaefer, Kun Zhao +1
Motion prediction is an important aspect for Autonomous Driving (AD) and Advance Driver Assistance Systems (ADAS). Current state-of-the-art motion prediction methods rely on High D…
Task Weighting through Gradient Projection for Multitask Learning
Christian Bohn, Ido Freeman, Hasan Tercan +1
In multitask learning, conflicts between task gradients are a frequent issue degrading a model's training performance. This is commonly addressed by using the Gradient Projection a…
Towards a Deep Learning-based Online Quality Prediction System for Welding Processes
Yannik Hahn, Robert Maack, Guido Buchholz +4
The digitization of manufacturing processes enables promising applications for machine learning-assisted quality assurance. A widely used manufacturing process that can strongly be…