Sebastian Weichwald
Sebastian Weichwald
University of Copenhagen / formerly Max Planck Institute for Intelligent Systems, ETH Zurich
Verified email at - Homepage
Cited by
Cited by
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
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
Causal Consistency of Structural Equation Models
PK Rubenstein*, S Weichwald*, S Bongers, JM Mooij, D Janzing, ...
Conference on Uncertainty in Artificial Intelligence (UAI), 2017
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
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
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
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
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
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
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
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
Causality in cognitive neuroscience: concepts, challenges, and distributional robustness
S Weichwald, J Peters
arXiv preprint arXiv:2002.06060, 2020
The right tool for the right question --- beyond the encoding versus decoding dichotomy
S Weichwald, M Grosse-Wentrup
arXiv preprint arXiv:1704.08851, 2017
Pragmatism and Variable Transformations in Causal Modelling
S Weichwald
ETH Zurich, 2019
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
What is Cantor's continuum problem?
S Weichwald
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