Exploring challenges of alarm root-cause analysis across varying production process types Herausforderungen der Alarm Root-Cause Analyse in verschiedenen Arten von Produktionsprozessen

Vogel-Heuser B.; Fay A.; Rupprecht B.; Kunze F.C.; Hankemeier V.; Westermann T.; Manca G. (2024)

In: Automatisierungstechnik, 72(4), 369-386. doi:10.1515/auto-2023-0180

Research article (journal) | Peer reviewed | Published

Modularity in Nervous Systems-a Key to Efficient Adaptivity for Deep Reinforcement Learning

Schilling, Malte; Hammer, Barbara; Ohl, Frank W.; Ritter, Helge J.; Wiskott, Laurenz (2024)

In: Cognitive Computation, 16(5), 2358-2373. doi:10.1007/s12559-022-10080-w

Research article (journal) | Peer reviewed | Published

Evaluating the Impact of Advanced LLM Techniques on AI Lecture Tutors for a Robotics Course

Kahl, S.; Löffler, F.; Maciol, M.; Ridder, F.; Schmitz, M.; Spanagel, J.; Wienkamp, J.; Burgahn, C.; Schilling, M. (2024)

In: Bellas, F; Fontenla-Romero, O (eds.), Communications in Computer and Information Science, 149-160. Cham: .

Research article in edited proceedings (conference) | Peer reviewed | Published

Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent

El Amri, W.Z.; Hermes, L.; Schilling, M. (2023)

In: G. Nicosia et al. (eds.), Proc. of 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science, 1-16. Switzerland: .

Research article in edited proceedings (conference) | Peer reviewed | Published

Graph Learning by Dynamic Sampling

Hermes, Luca; Liuliakov, Aleksei; Schilling, Malte (2023)

In: Verma, Brijesh; Kasabov, Nicola K. (eds.), IJCNN 2023 Conference Proceedings, 1-8. Gold Coast: .

Research article in edited proceedings (conference) | Peer reviewed | Published

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The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM’s Internal States Ridder, F.; Schilling, M. (2025) In: (eds.), Proceedings of the AAAI 2025 Workshop on Preventing and Detecting LLM Misinformation (PDLM)AAAI 2025 Workshop on Preventing and Detecting LLM Misinformation, Philadelphia, United States. OpenReview. Research article in digital collection (conference) \| Peer reviewed \| Published
Exploring challenges of alarm root-cause analysis across varying production process types Herausforderungen der Alarm Root-Cause Analyse in verschiedenen Arten von Produktionsprozessen Vogel-Heuser B.; Fay A.; Rupprecht B.; Kunze F.C.; Hankemeier V.; Westermann T.; Manca G. (2024) In: Automatisierungstechnik, 72(4), 369-386. doi:10.1515/auto-2023-0180 Research article (journal) \| Peer reviewed \| Published
Linking meta-learning to meta-structure Schilling, Malte; Ritter, Helge J.; Ohl, Frank W. (2024) In: Behavioral and Brain Sciences, 47, e164. doi:10.1017/S0140525X24000232 Research article (journal) \| Peer reviewed \| Published
Modularity in Nervous Systems-a Key to Efficient Adaptivity for Deep Reinforcement Learning Schilling, Malte; Hammer, Barbara; Ohl, Frank W.; Ritter, Helge J.; Wiskott, Laurenz (2024) In: Cognitive Computation, 16(5), 2358-2373. doi:10.1007/s12559-022-10080-w Research article (journal) \| Peer reviewed \| Published
3D-printed Robust Ground Contact Sensors for Haptic Feedback using Functional Materials Hering, M.; Höving, S.; Schilling, M. (2024) In: Berns, K.; Tokhi, M.O.; Rönnau, A.; Silva, M.F.; Dillmann, R. (eds.), Proceedings of the CLAWAR 2024 Conference (Vol. 2), 119-130. Cham: . Research article in edited proceedings (conference) \| Peer reviewed \| Published
Evaluating the Impact of Advanced LLM Techniques on AI Lecture Tutors for a Robotics Course Kahl, S.; Löffler, F.; Maciol, M.; Ridder, F.; Schmitz, M.; Spanagel, J.; Wienkamp, J.; Burgahn, C.; Schilling, M. (2024) In: Bellas, F; Fontenla-Romero, O (eds.), Communications in Computer and Information Science, 149-160. Cham: . Research article in edited proceedings (conference) \| Peer reviewed \| Published
Adaptation of a Decentralized Controller to Curve Walking in a Hexapod Robot Simmering, J; Hermes, L; Schneider, A; Schilling, M (2023) In: Cascalho JM; Tokhi MO; Silva MF; Mendes A; Goher K; Funk M (eds.), Robotics in Natural Settings, 264-275. Cham: . Research article in edited proceedings (conference) \| Peer reviewed \| Published
Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent El Amri, W.Z.; Hermes, L.; Schilling, M. (2023) In: G. Nicosia et al. (eds.), Proc. of 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science, 1-16. Switzerland: . Research article in edited proceedings (conference) \| Peer reviewed \| Published
neuroWalknet, a controller for hexapod walking allowing for context dependent behavior Schilling, M.; Cruse, H. (2023) In: PLoS Computational Biology, 19(1), e1010136. doi:10.1371/journal.pcbi.1010136 Research article (journal) \| Peer reviewed \| Published
Graph Learning by Dynamic Sampling Hermes, Luca; Liuliakov, Aleksei; Schilling, Malte (2023) In: Verma, Brijesh; Kasabov, Nicola K. (eds.), IJCNN 2023 Conference Proceedings, 1-8. Gold Coast: . Research article in edited proceedings (conference) \| Peer reviewed \| Published