Uncertain Information. - Jürg Kohlas; Christian Eichenberger (Formal Theories of Information, 2009)

Flatland-RL : Multi-Agent Reinforcement Learning on Trains. - Sharada Prasanna Mohanty; Erik Nygren; Florian Laurent; Manuel Schneider; Christian Scheller; Nilabha Bhattacharya; Jeremy D. Watson; Adrian Egli; Christian Eichenberger; Christian Baumberger; Gereon Vienken; Irene Sturm; et al. (CoRR, 2020)

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)

Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. - Moritz Neun; Christian Eichenberger; Henry Martin; Markus Spanring; Rahul Siripurapu; Daniel Springer; Leyan Deng; Chenwang Wu; Defu Lian; Min Zhou 006; Martin Lumiste; Andrei Ilie; et al. (NeurIPS (Competition and Demos), 2021)

Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report. - Ivan Svogor; Christian Eichenberger; Markus Spanring; Moritz Neun; Michael Kopp 001 (CoRR, 2022)

Scope Restriction for Scalable Real-Time Railway Rescheduling: An Exploratory Study. - Erik Nygren; Christian Eichenberger; Emma Frejinger (CoRR, 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)