Paul von Bünau

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Klaus-Robert MüllerTU Berlin & Korea University & Google Brain & Max Planck Institute for Informatics, GermanyVerified email at tu-berlin.de
Motoaki KawanabeSenior Researcher, Advanced Telecommunications Research Institute InternationalVerified email at atr.jp
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoVerified email at k.u-tokyo.ac.jp
Franz J. KiralyLecturer in StatisticsVerified email at ucl.ac.uk
Hisashi KashimaProfessor, Kyoto UniversityVerified email at i.kyoto-u.ac.jp
Shinichi NakajimaMachine Learning Group, Technische Universität BerlinVerified email at tu-berlin.de
Taiji SuzukiThe University of TokyoVerified email at mist.i.u-tokyo.ac.jp
Duncan BlytheSuperDuperDB, Inc.Verified email at superduperdb.com
Jan Saputra Müllerresearch associate, TU BerlinVerified email at tu-berlin.de
Carmen VidaurreIkerbasque Research Associate, Tecnalia, NeurotechVerified email at tecnalia.com
Satoshi HaraAssistant Professor, Osaka UniversityVerified email at ar.sanken.osaka-u.ac.jp
Benjamin BlankertzTechnische Universität Berlin, Neurotechnology groupVerified email at tu-berlin.de
Makoto YamadaOkinawa Institute of Science and TechnologyVerified email at oist.jp
J. D. MitchellUniversity of St AndrewsVerified email at st-andrews.ac.uk
Joao AraujoUniversidade Nova de LisboaVerified email at fct.unl.pt
Wojciech SamekProfessor at TU Berlin, Head of AI Department at Fraunhofer HHI, BIFOLD FellowVerified email at tu-berlin.de
Aldo BeniniConsultantVerified email at starpower.net
Frank C. Meinecke
Ryota TomiokaMicrosoft Research CambridgeVerified email at microsoft.com

Paul von Bünau

idalab GmbH

Verified email at idalab.de - Homepage

machine learning artificial intelligence digital health computational biology


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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	1301*	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	929	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	309	2011
Finding stationary subspaces in multivariate time series P von Bünau, FC Meinecke, FJ Király, KR Müller Physical review letters 103 (21), 214101, 2009	269	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	84	2010
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	61	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	57	2012
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	57	2011
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	43	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	23	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	21	2011
Computing automorphisms of semigroups J Araújo, P von Bünau, JD Mitchell, M Neunhoffer Journal of Symbolic Computation 45 (3), 373-392, 2010	19	2010
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	18	2011
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	15	2012
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	15	2009
Regression for sets of polynomial equations FJ Kiraly, P von Bünau, JS Müller, DAJ Blythe, F Meinecke, KR Müller AISTATS 2012, 2012	12	2012
Advances in Neural Information Processing Systems M Sugiyama, S Nakajima, H Kashima, PV Buenau, M Kawanabe, J Platt, ... Springer, 2008	11	2008
Stationary subspace analysis: towards understanding non-stationary data P Bünau	8	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

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