| Current Publications | • Simmering, J; Hermes, L; Schneider, A; Schilling, M Adaptation of a Decentralized Controller to Curve Walking in a Hexapod Robot. Robotics in Natural Settings, 2023, pp 264-275 online • El Amri, W.Z.; Hermes, L.; Schilling, M. Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent. Proc. of 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data ScienceLecture Notes in Computer Science, 2023 online • Schilling, M.; Hammer, B.; Ohl, F.W.; Ritter, H.; Wiskott, L. Modularity in Nervous Systems—a Key to Efficient Adaptivity for Deep Reinforcement Learning. Cognitive Computation Vol. in press, 2023 online • Schilling, M.; Cruse, H. neuroWalknet, a controller for hexapod walking allowing for context dependent behavior. PLoS Computational Biology Vol. 19 (1), 2023 online • Hermes, Luca; Liuliakov, Aleksei; Schilling, Malte Graph Learning by Dynamic Sampling. IJCNN 2023 Conference Proceedings, 2023 online • Mindlin, Dimitry; Schilling, Malte; Cimiano, Philipp ABC-GAN: Spatially Constrained Counterfactual Generation for Image Classification Explanations. Explainable Artificial Intelligence, 2023 online • Schilling, M. Coding Challenge. Kompetent Prüfungen gestalten – 60 Prüfungsformate für die Hochschullehre, 2022 online • Hermes, L.; Hammer, B.; Melnik, A.; Velioglu, R.; Vieth, M.; Schilling, M. A Graph-based U-Net Model for Predicting Traffic in unseen Cities. Proceedings of the International Joint Conf. on Neural Networks, 2022 online • Eichenberger, C.; Neun, M.; Martin, H.; Herruzo, P.; Spanring, M.; Lu, Y.; Choi, S.; Konyakhin, V.; Lukashina, N.; Shpilman, A.; Wiedemann, N.; Raubal, M.; Wang, B.; Vu, H.L.; Mohajerpoor, R.; Cai, C.; Kim, I.; Hermes, L.; Melnik, A.; Velioglu, R.; Vieth, M.; Schilling, M.; Bojesomo, A.; Al-Marzouqi, H.; Liatsis, P.; Santokhi, J.; Hillier, D.; Yang, Y.; Sarwar, J.; Jordan, A.; Hewage, E.; Jonietz, D.; Tang, F.; Gruca, A.; Kopp, M.; Kreil, D.P.; Hochreiter, S. Traffic4cast at NeurIPS 2021 - Temporal Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. Proceedings of the NeurIPS 2021 Competitions Demonstrations Track, PMLR Vol. 176, 2022 online |
| Current Projects | • E-Mobilität für LKWs - Prädiktive KI Modelle online |
| malte dot schilling at uni-muenster dot de | |
| Phone | +49 251 83-33804 |
| FAX | +49 251 83-33755 |
| Room | 203 |
| Secretary | Sekretariat Wigger (Informatik) Frau Clara Wigger Telefon +49 251 83-38401 Fax +49 251 83-33755 Zimmer 713 |
| Address | Prof. Dr. Malte Schilling Institut für Informatik Fachbereich Mathematik und Informatik der Universität Münster Einsteinstrasse 62 48149 Münster Deutschland |
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