Sebastian Weichwald
Tenure track adjunkt, Tenure Track Adjunkt
- 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
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
- 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
ID: 226564798
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Causality in Cognitive Neuroscience: Concepts, Challenges, and Distributional Robustness
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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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
Udgivet