According to our database1, Sebastian Weichwald authored at least 13 papers between 2014 and 2020.
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Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values.
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise.
J. Mach. Learn. Res., 2019
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
IEEE J. Sel. Top. Signal Process., 2016
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation.
J. Mach. Learn. Res., 2016
Pymanopt: A Python Toolbox for Manifold Optimization using Automatic Differentiation.
Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014