Sebastian Weichwald

Sebastian Weichwald

Assistant professor, tenure track, Tenure Track Assistant Professor

Member of:

    ORCID: 0000-0003-0169-7244

    Publication year:
    All
    1 - 7 out of 7Page size: 50
    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

      Causality in Cognitive Neuroscience: Concepts, Challenges, and Distributional Robustness

      Weichwald, Sebastian & Peters, J., Feb 2021, In: Journal of Cognitive Neuroscience. 33, 2, p. 226-247 22 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    5. 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

    6. 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

    7. Improving 1-year mortality prediction in ACS patients using machine learning

      Weichwald, Sebastian, Candreva, A., Burkholz, R., Klingenberg, R., Räber, L., Heg, D., Manka, R., Gencer, B., Mach, F., Nanchen, D., Rodondi, N., Windecker, S., Laaksonen, R., Hazen, S. L., Von Eckardstein, A., Ruschitzka, F., Lüscher, T. F., Buhmann, J. M. & Matter, C. M., 2021, In: European Heart Journal: Acute Cardiovascular Care. 10, 8, p. 855-865

      Research output: Contribution to journal › Journal article › Research › peer-review

    8. 2020
    9. 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

    10. 2019
    11. Published

      Robustifying independent component analysis by adjusting for group-wise stationary noise

      Pfister, Niklas Andreas, Weichwald, Sebastian, Bühlmann, P. & Schölkopf, B., 2019, In: Journal of Machine Learning Research. 20, 50 p., 147.

      Research output: Contribution to journal › Journal article › Research › peer-review

    ID: 226564798