Sebastian Weichwald

Sebastian Weichwald

Assistant professor, tenure track


Publication year:
  1. 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 journalJournal articlepeer-review

  2. 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 proceedingArticle in proceedingsResearchpeer-review

  3. 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 proceedingArticle in proceedingsResearchpeer-review

  4. 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 journalJournal articlepeer-review

  5. 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 proceedingArticle in proceedingsResearchpeer-review

  6. 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 journalJournal articlepeer-review

  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 proceedingArticle in proceedingsResearchpeer-review

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