Publications

Informed Pre-Training of Neural Networks using Prototypes from Prior Knowledge

von Rueden, Laura; Houben, Sebastian; Cvejoski, Kostadin; Garcke, Jochen; Bauckhage, Christian; Piatkowski, Nico, 2023

Published in: arXiv

How does Knowledge Injection Help in Informed Machine Learning?

von Rueden, Laura; Garcke, Jochen; Bauckhage, Christian, 2023

Published in: 2023 International Joint Conference on Neural Networks (IJCNN)

Online Explainable Model Selection for Time Series Forecasting

Saadallah, Amal, 2023

Published in: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA)

Online Deep Hybrid Ensemble Learning for Time Series Forecasting

Saadallah, Amal; Jakobs, Matthias, 2023

Published in: Machine Learning and Knowledge Discovery in Databases: Research Track. ECML PKDD 2023

Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods

Sabih, Muhammad; Yayla, Mikail; Hannig, Frank; Teich, Jürgen; Chen, Jian-Jia, 2023

Published in: EuroMLSys '23: Proceedings of the 3rd Workshop on Machine Learning and Systems

Hidden Schema Networks

Sanchez, Ramses J.; Conrads, Lukas; Welke, Pascal; Cvejoski, Kostadin; Ojeda, Cesar, 2023

Published in: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics

Curvature-based Pooling within Graph Neural Networks

Sanders, Cedric; Roth, Andreas; Liebig, Thomas, 2023

Published in: arXiv

MetaCitta: Deep Meta-Learning for Spatio-Temporal Prediction Across Cities and Tasks

Sao, Ashutosh; Gottschalk, Simon; Tempelmeier, Nicolas; Demidova, Elena, 2023

Published in: Advances in Knowledge Discovery and Data Mining. PAKDD 2023

How Much User Context Do We Need? Privacy by Design in Mental Health {NLP} Applications

Sawhney, Ramit; Neerkaje, Atula; Habernal, Ivan; Flek, Lucie, 2023

Published in: Proceedings of the International {AAAI} Conference on Web and Social Media

Published in: International AAAI Conference on Web and Social Media

Cup Curriculum: Curriculum Learning on Model Capacity

Scharr, Luca; Toborek, Vanessa, 2023

Published in: OPT 2023: Optimization for Machine Learning. NeurIPS 2023 Workshop