Sebastian Weichwald
Tenure track adjunkt, Tenure Track Adjunkt
- 2024
- Udgivet
spillR: spillover compensation in mass cytometry data
Guazzini, M., Reisach, A. G., Weichwald, Sebastian & Seiler, C., 2024, I: Bioinformatics. 40, 6, 9 s., btae337.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 2022
- Udgivet
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, s. 246-258 (Proceedings of Machine Learning Research, Bind 176).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2021
- Udgivet
Causality in Cognitive Neuroscience: Concepts, Challenges, and Distributional Robustness
Weichwald, Sebastian & Peters, J., feb. 2021, I: Journal of Cognitive Neuroscience. 33, 2, s. 226-247 22 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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. 1-13Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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. 855-865Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 2020
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2019
- 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 tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
ID: 226564798
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Causality in Cognitive Neuroscience: Concepts, Challenges, and Distributional Robustness
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Robustifying independent component analysis by adjusting for group-wise stationary noise
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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