Duncan Blythe
Cited by
Cited by
Contextual string embeddings for sequence labeling
A Akbik, D Blythe, R Vollgraf
Proceedings of the 27th international conference on computational …, 2018
FLAIR: An easy-to-use framework for state-of-the-art NLP
A Akbik, T Bergmann, D Blythe, K Rasul, S Schweter, R Vollgraf
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
Feature extraction for change-point detection using stationary subspace analysis
DAJ Blythe, P Von Bunau, FC Meinecke, KR Muller
IEEE Transactions on Neural Networks and Learning Systems 23 (4), 631-643, 2012
Robust spatial filtering with beta divergence
W Samek, D Blythe, KR Müller, M Kawanabe
Proceedings of the 26th International Conference on Neural Information …, 2013
The effect of linear mixing in the EEG on Hurst exponent estimation
DAJ Blythe, S Haufe, KR Müller, VV Nikulin
NeuroImage 99, 377-387, 2014
Multiscale temporal neural dynamics predict performance in a complex sensorimotor task
W Samek, DAJ Blythe, G Curio, KR Müller, B Blankertz, VV Nikulin
Neuroimage 141, 291-303, 2016
Power‐law dynamics in neuronal and behavioral data introduce spurious correlations
N Schaworonkow, DAJ Blythe, J Kegeles, G Curio, VV Nikulin
Human brain mapping 36 (8), 2901-2914, 2015
Algebraic Geometric Comparison of Probability Distributions.
FJ Király, P Von Bünau, FC Meinecke, DAJ Blythe, KR Müller, K Fukumizu
Journal of Machine Learning Research 13 (3), 2012
Prediction and quantification of individual athletic performance of runners
DAJ Blythe, FJ Király
PloS one 11 (6), e0157257, 2016
Regression for sets of polynomial equations
F Kiraly, P Von Bünau, J Muller, D Blythe, F Meinecke, KR Muller
Artificial Intelligence and Statistics, 628-637, 2012
A rigorous and efficient asymptotic test for power-law cross-correlation
DAJ Blythe
arXiv preprint arXiv:1309.4073, 2013
Robust statistical detection of power-law cross-correlation
DAJ Blythe, VV Nikulin, KR Müller
Scientific reports 6 (1), 1-10, 2016
Causal Learning via Manifold Regularization.
S Hill, CJ Oates, DA Blythe, S Mukherjee
JMLR, 2019
Long-range temporal correlations in neural narrowband time-series arise due to critical dynamics
DAJ Blythe, VV Nikulin
PloS one 12 (5), e0175628, 2017
Prediction and quantification of individual athletic performance
DAJ Blythe, FJ Király
arXiv preprint arXiv:1505.01147, 2015
Meta-universality classes at criticality
DAJ Blythe, VV Nikulin
arXiv preprint arXiv:1502.07885, 2015
Algebraic-Combinatorial Methods for Low-Rank Matrix Completion with Application to Athletic Performance Prediction
DAJ Blythe, L Theran, F Kiraly
arXiv preprint arXiv:1406.2864, 2014
Explorative data analysis for changes in neural activity
DAJ Blythe, FC Meinecke, P Von Bünau, KR Müller
Journal of neural engineering 10 (2), 026018, 2013
Regression for sets of polynomial equations
FJ Király, P von Bünau, JS Müller, DAJ Blythe, FC Meinecke, KR Müller
stat 1050, 25, 2013
Algebraic geometric comparison of probability distributions
FJ Király, P von Bünau, FC Meinecke, DAJ Blythe, KR Müller
arXiv preprint arXiv:1108.1483, 2011
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