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Dürr, O., Hörtling S., Dold D., Kovylov I., & Sick B. (2024).  Bernstein flows for flexible posteriors in variational Bayes. AStA Advances in Statistical Analysis. 108, 375–394.

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Griesser, D., Franz M. O., & Umlauf G. (2024).  Enhancing Inland Water Safety: The Lake Constance Obstacle Detection Benchmark. IEEE International Conference on Robotics and Automation (ICRA). 14808-14814.

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Ramadane, M., Meyer S., & Bohnet D. (2024).  Environmental Impact Assessment of IoT Devices: A Graph-based Approach. Procedia Computer Science. 236, 338–347.

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Kook, L., Baumann P. F. M., Dürr O., Sick B., & Rügamer D. (2024).  Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo. Journal of Statistical Software. 111,

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Baumgartner, C., Bohnet D., Meyer S., Leber A., & Ramadane M. (2025).  Assessing the Environmental Impact of IoT Devices - Hotspots and Guidelines for a Better Understanding. 2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC). 1–11.

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Ramadane, M., & Bohnet D. (2025).  Dynamic Use-Phase Variability In IoT-Enabled Systems: A Simulation-Based Case Study Of Smart Thermostats. ECMS 2025 Proceedings edited by Marco Scarpa, Salvatore Cavalieri, Salvatore Serrano, Fabrizio De Vita. 711–717.

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Schmid, M., Bernhardsgrütter D., Schwarz R., Bohnet D., & Axthelm R. (2025).  Faster-than-real-time Simulation of Multi-group Pedestrian Flow.. Traffic & Granular Flow 24. 04021.

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Sick, B., & Dürr O. (2025).  Interpretable Neural Causal Models with TRAM-DAGs. (Huang, B., & Drton M., Ed.).Proceedings of the Fourth Conference on Causal Learning and Reasoning. 606–630.

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Dold, D., Kobialka J., Palm N., Sommer E., Rügamer D., & Dürr O. (2025).  Paths and Ambient Spaces in Neural Loss Landscapes. (Li, Y., Mandt S., Agrawal S., & Khan E., Ed.).Proceedings of The 28th International Conference on Artificial Intelligence and Statistics. 10–18.

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Homburger, H., Wirtensohn S., Hoher P., Baur T., Griesser D., Diehl M., et al. (2025).  Solgenia—A test vessel toward energy-efficient autonomous water taxi applications. Ocean Engineering.

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Bohnet, D., & Wehrlein Y. (2025).  Surrogate Model Using A U-NET-ConvLSTM Architecture For A Macroscopic Pedestrian Flow Model. ECMS 2025 Proceedings edited by Marco Scarpa, Salvatore Cavalieri, Salvatore Serrano, Fabrizio De Vita. 300–306.

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Ramadane, M., & Bohnet D. (2026).  Preventing Parasitic Learning in Online Identification of Building RC Thermal Models: A Stochastic-Volatility Rao–Blackwellized Particle Filter.

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