Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting. - Luca Hermes; Barbara Hammer; Malte Schilling (ESANN, 2021)

Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. - Christian Eichenberger; Moritz Neun; Henry Martin; Pedro Herruzo; Markus Spanring; Yichao Lu; Sungbin Choi; Vsevolod Konyakhin; Nina Lukashina; Aleksei Shpilman; Nina Wiedemann; Martin Raubal; et al. (NeurIPS (Competition and Demos), 2021)

Adaptation of a Decentralized Controller to Curve Walking in a Hexapod Robot. - Janneke Simmering; Luca Hermes; Axel Schneider; Malte Schilling (CLAWAR, 2022)

A Graph-based U-Net Model for Predicting Traffic in unseen Cities. - Luca Hermes; Barbara Hammer; Andrew Melnik; Riza Velioglu; Markus Vieth; Malte Schilling (IJCNN, 2022)

Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent. - Wadhah Zai El Amri; Luca Hermes; Malte Schilling (LOD (2), 2022)

One-Class Intrusion Detection with Dynamic Graphs. - Aleksei Liuliakov; Alexander Schulz 001; Luca Hermes; Barbara Hammer (ICANN (4), 2023)

Spatial Graph Convolution Neural Networks for Water Distribution Systems. - Inaam Ashraf; Luca Hermes; André Artelt; Barbara Hammer (IDA, 2023)

Graph Learning by Dynamic Sampling. - Luca Hermes; Aleksei Liuliakov; Malte Schilling (IJCNN, 2023)

Adversarial Attacks on Leakage Detectors in Water Distribution Networks. - Paul Stahlhofen; André Artelt; Luca Hermes; Barbara Hammer (IWANN (2), 2023)

AutoML technologies for the identification of sparse classification and outlier detection models. - Aleksei Liuliakov; Luca Hermes; Barbara Hammer (Appl. Soft Comput., 2023)

Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities. - Moritz Neun; Christian Eichenberger; Yanan Xin 001; Cheng Fu; Nina Wiedemann; Henry Martin; Martin Tomko; Lukas Ambühl; Luca Hermes; Michael Kopp 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Physics-Informed Graph Neural Networks for Water Distribution Systems. - Inaam Ashraf; Janine Strotherm; Luca Hermes; Barbara Hammer (AAAI, 2024)

Noise Robust One-Class Intrusion Detection on Dynamic Graphs. - Aleksei Liuliakov; Alexander Schulz 001; Luca Hermes; Barbara Hammer (ESANN, 2024)

Targeted Visualization of the Backbone of Encoder LLMs. - Isaac Roberts; Alexander Schulz 001; Luca Hermes; Barbara Hammer (CoRR, 2024)

Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks. - Maximilian Muschalik; Fabian Fumagalli; Paolo Frazzetto; Janine Strotherm; Luca Hermes; Alessandro Sperduti; Eyke Hüllermeier; Barbara Hammer (ICLR, 2025)

A Benchmark for Physics-informed Machine Learning of Chlorine Concentration States in Water Distribution Networks. - Luca Hermes; André Artelt; Stelios G. Vrachimis; Marios M. Polycarpou; Barbara Hammer (SN Comput. Sci., 2025)