Biblio

Export 238 results:
Author Title Type [ Year(Asc)]
2026
Ramadane, M., & Bohnet D. (2026).  Preventing Parasitic Learning in Online Identification of Building RC Thermal Models: A Stochastic-Volatility Rao–Blackwellized Particle Filter.
2025
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.
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.
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.
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.
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.
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.
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.
2024
Hoher, P., Baur T., Reuter J., Griesser D., Govaers F., & Koch W. (2024).  3D-Extended Object Tracking and Shape Classification with a Lidar Sensor using Random Matrices and Virtual Measurement Models. 27th International Conference on Information Fusion (FUSION). 1-8.
Dold, D., Ruegamer D., Sick B., & Dürr O. (2024).  Bayesian Semi-structured Subspace Inference. (Dasgupta, S., Mandt S., & Li Y., Ed.).Proceedings of The 27th International Conference on Artificial Intelligence and Statistics. 1819–1827.
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.
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.
Ramadane, M., Meyer S., & Bohnet D. (2024).  Environmental Impact Assessment of IoT Devices: A Graph-based Approach. Procedia Computer Science. 236, 338–347.
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,
2023
Dürr, O., Fan P-Y., & Yin Z-X. (2023).  Bayesian Calibration of MEMS Accelerometers. IEEE Sensors Journal.
Dold, D., Arpogaus M., & Dürr O. (2023).  Deep probabilistic modelling for energy forecasting. PDF icon Poster_Deep probabilistic modelling for energy forecasting TTT.pdf (839.27 KB)
Herzog, L., Kook L., Götschi A., Petermann K., Hänsel M., Hamann J., et al. (2023).  Deep transformation models for functional outcome prediction after acute ischemic stroke. Biometrical Journal. 65, 2100379.
Bodai, T., Lembo V., Lembo V., Lee S-S., Ishizu M., & Franz M. (2023).  Development and application of a climate emulator. EGU23.
Hoher, P., Reuter J., Dold D., Griesser D., Govaers F., & Koch W. (2023).  Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Gaussian Processes Regression Model. International Conference on Information Fusion (FUSION). 1-8.
Hermann, M., Umlauf G., Goldlücke B., & Franz M. O. (2023).  Incremental one-class learning using regularized null-space training for industrial defect detection. 16th International Conference on Machine Vision (ICMV).
Berlin, C., Adomeit S., Grover P., Dreischarf M., Halm H., Dürr O., et al. (2023).  Novel AI-Based Algorithm for the Automated Computation of Coronal Parameters in Adolescent Idiopathic Scoliosis Patients: A Validation Study on 100 Preoperative Full Spine X-Rays. Global Spine Journal. 21925682231154543.
Berlin, C., Adomeit S., Grover P., Dreischarf M., Halm H., Dürr O., et al. (2023).  Novel AI-Based Algorithm for the Automated Computation of Coronal Parameters in Adolescent Idiopathic Scoliosis Patients: A Validation Study on 100 Preoperative Full Spine X-Rays. Global Spine Journal. 14, 1728–1737.
Arpogaus, M., Voss M., Sick B., Nigge-Uricher M., & Dürr O. (2023).  Short-term density forecasting of low-voltage load using Bernstein-polynomial normalizing flows. IEEE Transactions on Smart Grid.
Brach, K., Sick B., & Dürr O. (2023).  Single-shot Bayesian approximation for neural networks.
Griesser, D., Umlauf G., & Franz M. O. (2023).  Visual Pitch and Roll Estimation For Inland Water Vessels. IEEE International Conference on Robotics and Automation (ICRA). 1961-1967.

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