Sebastian Weichwald
Assistant professor, tenure track, Tenure Track Assistant Professor
Department of Mathematical Sciences
Universitetsparken 5, Building: 04-3-26
2100 København Ø
Member of:
- 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. 1-13Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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
- 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
- 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
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. 855-865Research output: Contribution to journal › Journal article › Research › peer-review
- 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
- 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
Most downloads
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94
downloads
Causality in Cognitive Neuroscience: Concepts, Challenges, and Distributional Robustness
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
36
downloads
Robustifying independent component analysis by adjusting for group-wise stationary noise
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
33
downloads
Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published