| Direct importance estimation for covariate shift adaptation M Sugiyama, T Suzuki, S Nakajima, H Kashima, P von Bünau, ... Annals of the Institute of Statistical Mathematics 60 (4), 699-746, 2008 | 945* | 2008 |
| Direct importance estimation with model selection and its application to covariate shift adaptation M Sugiyama, S Nakajima, H Kashima, P von Bünau, M Kawanabe Advances in Neural Information Processing Systems 20, 1433-1440, 2008 | 701 | 2008 |
| Toward an unsupervised adaptation of LDA for Brain-Computer Interfaces C Vidaurre, M Kawanabe, P von Bünau, B Blankertz, KR Muller Biomedical Engineering, IEEE Transactions on, 1-1, 2011 | 250 | 2011 |
| Finding stationary subspaces in multivariate time series P von Bünau, FC Meinecke, FJ Király, KR Müller Physical review letters 103 (21), 214101, 2009 | 225 | 2009 |
| Finding stationary brain sources in EEG data P von Bünau, FC Meinecke, S Scholler, KR Müller Engineering in Medicine and Biology Society (EMBC), 2010 Annual …, 2010 | 62 | 2010 |
| Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search M Sugiyama, M Yamada, P von Bünau, T Suzuki, T Kanamori, ... Neural Networks 24 (2), 183-198, 2011 | 53 | 2011 |
| Feature Extraction for Change-Point Detection using Stationary Subspace Analysis DAJ Blythe, P von Bünau, FC Meinecke, KR Müller Arxiv preprint arXiv:1108.2486, 2011 | 49 | 2011 |
| Separation of stationary and non-stationary sources with a generalized eigenvalue problem S Hara, Y Kawahara, T Washio, P von Bünau, T Tokunaga, K Yumoto Neural Networks, 2012 | 38 | 2012 |
| A mathematical model for the two-learners problem JS Müller, C Vidaurre, M Schreuder, FC Meinecke, P Von Bünau, ... Journal of neural engineering 14 (3), 036005, 2017 | 26 | 2017 |
| Stationary subspace analysis as a generalized eigenvalue problem S Hara, Y Kawahara, T Washio, P von Bünau Neural Information Processing. Theory and Algorithms, 422-429, 2010 | 21 | 2010 |
| Computing automorphisms of semigroups J Araújo, P von Bünau, JD Mitchell, M Neunhoffer Journal of Symbolic Computation 45 (3), 373-392, 2010 | 19 | 2010 |
| The Stationary Subspace Analysis Toolbox JS Müller, P von Bünau, FC Meinecke, FJ Király, KR Müller Journal of Machine Learning Research 12, 3065-3069, 2011 | 18 | 2011 |
| An information geometrical view of stationary subspace analysis M Kawanabe, W Samek, P von Bünau, F Meinecke Artificial Neural Networks and Machine Learning–ICANN 2011, 397-404, 2011 | 17 | 2011 |
| Learning invariances with stationary subspace analysis FC Meinecke, P von Bünau, M Kawanabe, KR Muller Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International …, 2009 | 15 | 2009 |
| Stationary subspace analysis P von Bünau, F Meinecke, KR Müller Independent Component Analysis and Signal Separation, 1-8, 2009 | 13 | 2009 |
| Algebraic geometric comparison of probability distributions FJ Király, PV Bünau, FC Meinecke, DAJ Blythe, KR Müller The Journal of Machine Learning Research 13, 855-903, 2012 | 12 | 2012 |
| Regression for sets of polynomial equations FJ Kiraly, P von Bünau, JS Müller, DAJ Blythe, F Meinecke, KR Müller AISTATS 2012, 2012 | 11 | 2012 |
| K-triviality, Oberwolfach randomness, and differentiability L Bienvenu, N Greenberg, A Kučera, A Nies, D Turetsky Mathematisches Forschungsinstitut Oberwolfach, 2012 | 10 | 2012 |
| Stationary Subspace Analysis: Towards understanding non-stationary data P Bünau | 7 | 2012 |
| Direct density ratio estimation with dimensionality reduction M Sugiyama, S Hara, P von Bünau, T Suzuki, T Kanamori, M Kawanabe Proceedings of 2010 SIAM International Conference on Data Mining (SDM2010 …, 2010 | 7 | 2010 |
Klaus-Robert MüllerGoogle Brain (on leave of Professor for Machine Learning, TU Berlin & Korea University, Seoul)Verified email at tu-berlin.de
