Sebastian Weichwald

According to our database1, Sebastian Weichwald authored at least 13 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values.
CoRR, 2020

2019
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise.
J. Mach. Learn. Res., 2019

2018
groupICA: Independent component analysis for grouped data.
CoRR, 2018

2017
Causal Consistency of Structural Equation Models.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Personalized brain-computer interface models for motor rehabilitation.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016
MERLiN: Mixture Effect Recovery in Linear Networks.
IEEE J. Sel. Top. Signal Process., 2016

Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation.
J. Mach. Learn. Res., 2016

Optimal Coding in Biological and Artificial Neural Networks.
CoRR, 2016

Pymanopt: A Python Toolbox for Manifold Optimization using Automatic Differentiation.
CoRR, 2016

Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

2015
Causal interpretation rules for encoding and decoding models in neuroimaging.
NeuroImage, 2015

2014
Causal and anti-causal learning in pattern recognition for neuroimaging.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Decoding index finger position from EEG using random forests.
Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014


  Loading...