Alexandra Baier

M.Sc.

Researcher
KI
Analytic Computing

Contact

Germany

  1. A. Baier, D. Aspandi, and S. Staab, “ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks,” in Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23, in Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23. International Joint Conferences on Artificial Intelligence Organization, Aug. 2023. [Online]. Available: https://opencms.uni-stuttgart.de/permalink/7e4a70e2-10ca-11ee-ba91-000e0c3db68b.pdf
  2. A. Baier, D. Aspandi, and S. Staab, “Supplements for ‘ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks’".” DaRUS, 2023. doi: 10.18419/DARUS-3457.
  3. A. Baier and D. Frank, “deepsysid: System Identification Toolkit for Multistep Prediction using Deep Learning.” DaRUS, 2023. doi: 10.18419/DARUS-3455.
  4. A. Baier and S. Staab, “A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances.” 2022. doi: 10.18419/darus-2905.
  5. A. Baier, Z. Boukhers, and S. Staab, “Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction,” 2021. [Online]. Available: http://arxiv.org/abs/2103.06727

University of Stuttgart

  • Exercise Machine Learning (Summers 2020, 2022)
  • Fachpraktikum "Artificial Intelligence" (Winter 2020/21)
  • Hauptseminar "Machine Learning for Modeling and Control" (Winters 2021/22, 2022/23)
  • Fachpraktikum "Maritime Anomaly Detection with Deep Learning" (Winter 2022/23)

University of Koblenz-Landau

  • Exercise Foundations of Databases (Winter 2019/2020)
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