Konstantin Ditschuneit
Konstantin Ditschuneit
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Cited by
Cited by
Auto-compressing subset pruning for semantic image segmentation
K Ditschuneit, JS Otterbach
DAGM German Conference on Pattern Recognition, 20-35, 2022
Explainability and interpretability in electric load forecasting using machine learning techniques–A review
L Baur, K Ditschuneit, M Schambach, C Kaymakci, T Wollmann, A Sauer
Energy and AI, 100358, 2024
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models
J Siems, K Ditschuneit, W Ripken, A Lindborg, M Schambach, J Otterbach, ...
Advances in Neural Information Processing Systems 36, 2024
Self-Distilled Representation Learning for Time Series
F Pieper, K Ditschuneit, M Genzel, A Lindt, J Otterbach
arXiv preprint arXiv:2311.11335, 2023
NAM-CAM: Neural-Additive Models for Semi-analytic Descriptions of CAM Simulations
K Ditschuneit, A Frenk, M Frings, V Rudel, S Dietzel, JS Otterbach
International Conference on Flexible Automation and Intelligent …, 2023
Pattern Recognition: 44th DAGM German Conference, DAGM GCPR 2022, Konstanz, Germany, September 27–30, 2022, Proceedings
B Andres, F Bernard, D Cremers, S Frintrop, B Goldlücke, I Ihrke
Springer Nature, 2022
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