| Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation J Townsend, N Koep, S Weichwald Journal of Machine Learning Research 17 (137), 1-5, 2016 | 336 | 2016 |
| Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game AG Reisach, C Seiler, S Weichwald Advances in Neural Information Processing Systems 34, 2021 | 175* | 2021 |
| Causal Consistency of Structural Equation Models PK Rubenstein*, S Weichwald*, S Bongers, JM Mooij, D Janzing, ... Conference on Uncertainty in Artificial Intelligence (UAI), 2017 | 135 | 2017 |
| Causal interpretation rules for encoding and decoding models in neuroimaging S Weichwald, T Meyer, O Özdenizci, B Schölkopf, T Ball, ... NeuroImage 110, 48-59, 2015 | 126 | 2015 |
| Causality in Cognitive Neuroscience: Concepts, Challenges, and Distributional Robustness S Weichwald, J Peters Journal of Cognitive Neuroscience, 1-21, 2020 | 54 | 2020 |
| Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values S Weichwald, ME Jakobsen, PB Mogensen, L Petersen, N Thams, ... Proceedings of the NeurIPS 2019 Competition and Demonstration Track …, 2020 | 39 | 2020 |
| Compositional abstraction error and a category of causal models EF Rischel, S Weichwald Uncertainty in Artificial Intelligence, 1013-1023, 2021 | 30 | 2021 |
| A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models AG Reisach, M Tami, C Seiler, A Chambaz, S Weichwald Advances in Neural Information Processing Systems 36, 2023 | 25* | 2023 |
| Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise N Pfister*, S Weichwald*, P Bühlmann, B Schölkopf Journal of Machine Learning Research 20 (147), 1-50, 2019 | 24 | 2019 |
| Improving 1-year mortality prediction in ACS patients using machine learning S Weichwald, A Candreva, R Burkholz, R Klingenberg, L Räber, D Heg, ... European Heart Journal Acute Cardiovascular Care 10 (8), 855-865, 2021 | 18 | 2021 |
| Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past N Thams, R Søndergaard, S Weichwald, J Peters Journal of Machine Learning Research 25 (302), 1-51, 2024 | 17 | 2024 |
| Absence of EEG correlates of self-referential processing depth in ALS. T Fomina, S Weichwald, M Synofzik, J Just, L Schöls, B Schölkopf, ... PloS one 12 (6), e0180136, 2017 | 15 | 2017 |
| Causal and anti-causal learning in pattern recognition for neuroimaging S Weichwald, B Schölkopf, T Ball, M Grosse-Wentrup Pattern Recognition in Neuroimaging, 2014 International Workshop on, 1-4, 2014 | 14 | 2014 |
| Personalized Brain-Computer Interface Models for Motor Rehabilitation AA Mastakouri, S Weichwald, O Özdenizci, T Meyer, B Schölkopf, ... Proceedings of the IEEE International Conference on Systems, Man, and …, 2017 | 11 | 2017 |
| Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning S Weichwald, SW Mogensen, TE Lee, D Baumann, O Kroemer, I Guyon, ... NeurIPS 2021 Competitions and Demonstrations Track, 246-258, 2022 | 9 | 2022 |
| Decoding index finger position from EEG using random forests S Weichwald, T Meyer, B Schölkopf, T Ball, M Grosse-Wentrup Cognitive Information Processing (CIP), 2014 4th International Workshop on, 1-6, 2014 | 7 | 2014 |
| MERLiN: Mixture Effect Recovery in Linear Networks S Weichwald, M Grosse-Wentrup, A Gretton IEEE Journal of Selected Topics in Signal Processing 10 (7), 1254-1266, 2016 | 6 | 2016 |
| Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data S Weichwald, A Gretton, B Scholkopf, M Grosse-Wentrup 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2016 | 5 | 2016 |
| Pragmatism and Variable Transformations in Causal Modelling S Weichwald ETH Zurich, 2019 | 4 | 2019 |
| Adjustment Identification Distance: A gadjid for Causal Structure Learning L Henckel, T Würtzen, S Weichwald Uncertainty in Artificial Intelligence, 1569-1598, 2024 | 3 | 2024 |
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHtuebingen.mpg.de의 이메일 확인됨
