Publikationer pr. år
Publikationer pr. år
Personlig profil
Kort præsentation
Please refer to sweichwald.de.
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]”.
Samarbejde og topforskningsområder i de sidste fem år
Seneste eksterne samarbejde på lande-/områdeniveau. Dyk ned i detaljerne ved at klikke på prikkerne eller
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spillR: spillover compensation in mass cytometry data
Guazzini, M., Reisach, A. G., Weichwald, S. & Seiler, C., 2024, I: Bioinformatics. 40, 6, 9 s., btae337.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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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, s. 246-258 (Proceedings of Machine Learning Research, Bind 176).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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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, s. 1-13Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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Causality in Cognitive Neuroscience: Concepts, Challenges, and Distributional Robustness
Weichwald, S. & Peters, J., feb. 2021, I: Journal of Cognitive Neuroscience. 33, 2, s. 226-247 22 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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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, s. 1013-1023 (Proceedings of Machine Learning Research, Bind 161).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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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, I: European Heart Journal: Acute Cardiovascular Care. 10, 8, s. 855-865Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
10 Citationer (Scopus) -
Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values
Weichwald, S., Emil Jakobsen, M., Mogensen, P. B., Petersen, L., Thams, N. T. & 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/rapport › Konferencebidrag i proceedings › Forskning › peer review
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Robustifying independent component analysis by adjusting for group-wise stationary noise
Pfister, N., Weichwald, S., Bühlmann, P. & Schölkopf, B., 2019, I: Journal of Machine Learning Research. 20, 50 s., 147.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgangFil11 Citationer (Scopus)46 Downloads (Pure)