| Contextual string embeddings for sequence labeling A Akbik, D Blythe, R Vollgraf Proceedings of the 27th international conference on computational …, 2018 | 1604 | 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 | 853 | 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 | 63 | 2012 |
| Robust spatial filtering with beta divergence W Samek, D Blythe, KR Müller, M Kawanabe Advances in Neural Information Processing Systems 26, 2013 | 53 | 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 | 38 | 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 | 32 | 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 | 25 | 2015 |
| Prediction and quantification of individual athletic performance of runners DAJ Blythe, FJ Király PLoS One 11 (6), e0157257, 2016 | 21 | 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 | 16 | 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 | 12 | 2012 |
| Robust statistical detection of power-law cross-correlation DAJ Blythe, VV Nikulin, KR Müller Scientific reports 6 (1), 27089, 2016 | 10 | 2016 |
| A rigorous and efficient asymptotic test for power-law cross-correlation DAJ Blythe arXiv preprint arXiv:1309.4073, 2013 | 10 | 2013 |
| Causal learning via manifold regularization SM Hill, CJ Oates, DA Blythe, S Mukherjee JMLR, 2019 | 9 | 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 | 6 | 2017 |
| Prediction and quantification of individual athletic performance DAJ Blythe, FJ Király arXiv preprint arXiv:1505.01147, 2015 | 5 | 2015 |
| Meta-universality classes at criticality DAJ Blythe, VV Nikulin arXiv preprint arXiv:1502.07885, 2015 | 4 | 2015 |
| Syntax-Aware Language Modeling with Recurrent Neural Networks D Blythe, A Akbik, R Vollgraf arXiv preprint arXiv:1803.03665, 2018 | 3 | 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 | 3 | 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 | 2 | 2014 |
| Regression for sets of polynomial equations FJ Király, P von Bünau, JS Müller, DAJ Blythe, FC Meinecke, KR Müller stat 1050, 25, 2013 | 1 | 2013 |
