Sebastian Weichwald

Sebastian Weichwald

Assistant professor, tenure track, Tenure Track Assistant Professor

Member of:

    ORCID: 0000-0003-0169-7244

    Publication year:
    All
    1 - 4 out of 4Page size: 10
    1. 2022
    2. Published

      Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning

      Weichwald, Sebastian, Wengel Mogensen, S., Lee, T. E., Baumann, D., Kroemer, O., Guyon, I., Trimpe, S., Peters, J. M. & Pfister, Niklas Andreas, 2022, Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track. PMLR, p. 246-258 (Proceedings of Machine Learning Research, Vol. 176).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    3. 2021
    4. Published

      Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game

      Reisach, A. G., Seiler, C. & Weichwald, Sebastian, 2021, Advances in Neural Information Processing Systems 34 (NeurIPS). NeurIPS Proceedings, p. 1-13

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    5. Published

      Compositional Abstraction Error and a Category of Causal Models

      Rischel, E. F. & Weichwald, Sebastian, 2021, Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence,. PMLR, p. 1013-1023 (Proceedings of Machine Learning Research, Vol. 161).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    6. 2020
    7. Published

      Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values

      Weichwald, Sebastian, Emil Jakobsen, M., Mogensen, Phillip Bredahl, Petersen, L., Thams, Nikolaj Theodor Birkmose & Varando, G., 2020, Proceedings of the NeurIPS 2019 Competition and Demonstration Track. PMLR, p. 27-36 (Proceedings of Machine Learning Research, Vol. 123).

      Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    ID: 226564798