Publications

Alexandra Baier, und Steffen Staab. A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances. 2022. [PUMA: EXC2075 PN4 PN4-7 curated]

Alexandra Baier, und Daniel Frank. deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning. 2023. [PUMA: EXC2075 PN4 PN4-7 curated]

Alexandra Baier, Decky Aspandi Latif, und Steffen Staab. Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks"". 2023. [PUMA: EXC2075 PN4 PN4-7 curated]

Alexandra Baier, Decky Aspandi, und Steffen Staab. ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23, International Joint Conferences on Artificial Intelligence Organization, August 2023. [PUMA: EXC2075 PN4 PN4-7 curated]

Daniel Frank, Decky Aspandi Latif, Michael Muehlebach, Benjamin Unger, und Steffen Staab. Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees. 2022. [PUMA: EXC2075 PN4 PN4-7 curated merged]

Thomas Monninger, Julian Schmidt, Jan Rupprecht, David Raba, Julian Jordan, Daniel Frank, Steffen Staab, und Klaus Dietmayer. SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks. IEEE Robotics and Automation Letters, 1-8, 2023. [PUMA: PN4 PN4-7 curated EXC2075]

Alexandra Baier, Zeyd Boukhers, und Steffen Staab. Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction. 2021. [PUMA: EXC2075 PN4 PN4-7 curated] URL