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Sebastian Weichwald
Sebastian Weichwald
University of Copenhagen / formerly Max Planck Institute for Intelligent Systems, ETH Zurich
Verified email at math.ku.dk - Homepage
Title
Cited by
Cited by
Year
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
1772016
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
952015
Causal Consistency of Structural Equation Models
PK Rubenstein*, S Weichwald*, S Bongers, JM Mooij, D Janzing, ...
Conference on Uncertainty in Artificial Intelligence (UAI), 2017
502017
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game
A Reisach, C Seiler, S Weichwald
Advances in Neural Information Processing Systems 34, 2021
23*2021
Causality in Cognitive Neuroscience: Concepts, Challenges, and Distributional Robustness
S Weichwald, J Peters
Journal of Cognitive Neuroscience, 1-21, 2020
16*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
152020
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
142019
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
122017
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
112014
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
82017
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
72014
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
52016
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
52016
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
42021
Pragmatism and Variable Transformations in Causal Modelling
S Weichwald
ETH Zurich, 2019
42019
Compositional abstraction error and a category of causal models
EF Rischel, S Weichwald
Uncertainty in Artificial Intelligence, 1013-1023, 2021
32021
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, ...
arXiv preprint arXiv:2202.06052, 2022
22022
A note on the expected minimum error probability in equientropic channels
S Weichwald, T Fomina, B Schölkopf, M Grosse-Wentrup
arXiv preprint arXiv:1605.07094, 2016
2*2016
The right tool for the right question --- beyond the encoding versus decoding dichotomy
S Weichwald, M Grosse-Wentrup
arXiv preprint arXiv:1704.08851, 2017
12017
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past
N Thams, R Søndergaard, S Weichwald, J Peters
arXiv preprint arXiv:2203.06056, 2022
2022
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Articles 1–20