Sebastian Weichwald

Sebastian Weichwald

Tenure track adjunkt

Medlem af:


    Udgivelsesår:
    1. 2021
    2. Udgivet

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

      Weichwald, Sebastian & Peters, Jonas Martin, feb. 2021, I: Journal of Cognitive Neuroscience. 33, 2, s. 226-247 22 s.

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    3. Udgivet

      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, s. 1-13

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    4. Udgivet

      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, s. 1013-1023 (Proceedings of Machine Learning Research, Bind 161).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    5. 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, I: European Heart Journal: Acute Cardiovascular Care. 10, 8, s. 855-865

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    6. 2020
    7. Udgivet

      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, s. 27-36 (Proceedings of Machine Learning Research, Bind 123).

      Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

    8. 2019
    9. Udgivet

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

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

      Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

    ID: 226564798