Duncan Blythe
Duncan Blythe
SuperDuperDB, Inc.
Verified email at - Homepage
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
Advances in Neural Information Processing Systems 26, 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
Prediction and quantification of individual athletic performance of runners
DAJ Blythe, FJ Király
PLoS One 11 (6), e0157257, 2016
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
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
Robust statistical detection of power-law cross-correlation
DAJ Blythe, VV Nikulin, KR Müller
Scientific reports 6 (1), 27089, 2016
A rigorous and efficient asymptotic test for power-law cross-correlation
DAJ Blythe
arXiv preprint arXiv:1309.4073, 2013
Causal learning via manifold regularization
SM 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
Syntax-Aware Language Modeling with Recurrent Neural Networks
D Blythe, A Akbik, R Vollgraf
arXiv preprint arXiv:1803.03665, 2018
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
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
Regression for sets of polynomial equations
FJ Király, P von Bünau, JS Müller, DAJ Blythe, FC Meinecke, KR Müller
stat 1050, 25, 2013
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