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If you are a student at the University of Copenhagen and would like to do your student/BSc/MSc project with me, please stop by my office or send me an email from your university email address using the email subject prefix “[UCPH]”.
Collaborations and top research areas from the last five years
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Adjustment Identification Distance: A gadjid for Causal Structure Learning
Henckel, L., Würtzen, T. & Weichwald, S., 2024, Proceedings of the 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024). PMLR, Vol. 244. p. 1569-1598 30 p. (Proceedings of Machine Learning Research, Vol. 244).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile2 Citations (Scopus)39 Downloads (Pure) -
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past
Thams, N. T. B., Nielsen, R. S., Weichwald, S. & Peters, J. M., 2024, In: Journal of Machine Learning Research. 25, p. 1-51 302.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile2 Citations (Scopus)21 Downloads (Pure) -
spillR: spillover compensation in mass cytometry data
Guazzini, M., Reisach, A. G., Weichwald, S. & Seiler, C., 2024, In: Bioinformatics. 40, 6, 9 p., btae337.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile2 Citations (Scopus)21 Downloads (Pure) -
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning
Weichwald, S., Wengel Mogensen, S., Lee, T. E., Baumann, D., Kroemer, O., Guyon, I., Trimpe, S., Peters, J. M. & Pfister, N. A., 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
Open AccessFile63 Downloads (Pure) -
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game
Reisach, A. G., Seiler, C. & Weichwald, S., 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
Open Access -
Causality in Cognitive Neuroscience: Concepts, Challenges, and Distributional Robustness
Weichwald, S. & 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
Open AccessFile37 Citations (Scopus)168 Downloads (Pure) -
Compositional Abstraction Error and a Category of Causal Models
Rischel, E. F. & Weichwald, S., 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
Open AccessFile11 Citations (Scopus)44 Downloads (Pure) -
Improving 1-year mortality prediction in ACS patients using machine learning
Weichwald, S., 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
20 Citations (Scopus)