Luca Hermes

According to our database, Luca Hermes authored at least 16 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., June, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Targeted Visualization of the Backbone of Encoder LLMs.

Isaac Roberts, Alexander Schulz, Luca Hermes, Barbara Hammer

CoRR, 2024

Noise Robust One-Class Intrusion Detection on Dynamic Graphs.

Aleksei Liuliakov, Alexander Schulz, Luca Hermes, Barbara Hammer

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

Physics-Informed Graph Neural Networks for Water Distribution Systems.

Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Metropolitan Segment Traffic Speeds From Massive Floating Car Data in 10 Cities.

Moritz Neun, Christian Eichenberger, Yanan Xin, Cheng Fu, Nina Wiedemann, Henry Martin, Martin Tomko, Lukas Ambühl, Luca Hermes, Michael Kopp

IEEE Trans. Intell. Transp. Syst., November, 2023

AutoML technologies for the identification of sparse classification and outlier detection models.

Aleksei Liuliakov, Luca Hermes, Barbara Hammer

Appl. Soft Comput., January, 2023

Adversarial Attacks on Leakage Detectors in Water Distribution Networks.

Paul Stahlhofen, André Artelt, Luca Hermes, Barbara Hammer

Proceedings of the Advances in Computational Intelligence, 2023

Graph Learning by Dynamic Sampling.

Luca Hermes, Aleksei Liuliakov, Malte Schilling

Proceedings of the International Joint Conference on Neural Networks, 2023

Spatial Graph Convolution Neural Networks for Water Distribution Systems.

Inaam Ashraf, Luca Hermes, André Artelt, Barbara Hammer

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

One-Class Intrusion Detection with Dynamic Graphs.

Aleksei Liuliakov, Alexander Schulz, Luca Hermes, Barbara Hammer

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

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

Wadhah Zai El Amri, Luca Hermes, Malte Schilling

Proceedings of the Machine Learning, Optimization, and Data Science, 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

Proceedings of the International Joint Conference on Neural Networks, 2022

Adaptation of a Decentralized Controller to Curve Walking in a Hexapod Robot.

Janneke Simmering, Luca Hermes, Axel Schneider, Malte Schilling

Proceedings of the Robotics in Natural Settings, 2022

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, Bo Wang, Hai L. Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Application of Graph Convolutions in a Lightweight Model for Skeletal Human Motion Forecasting.

Luca Hermes, Barbara Hammer, Malte Schilling

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021