Klaus-Robert Müller

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	All	Since 2016
Citations	85740	41947
h-index	128	91
i10-index	450	334

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Co-authors

Benjamin BlankertzTechnische Universität Berlin, Neurotechnology groupVerified email at tu-berlin.de
Wojciech SamekHead of AI Department and Explainable AI Group, Fraunhofer HHI, GermanyVerified email at hhi.fraunhofer.de
Gunnar RätschProfessor, ETH ZürichVerified email at inf.ethz.ch
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Grégoire MontavonTechnische Universität BerlinVerified email at tu-berlin.de
Sebastian MikacomtravoVerified email at comtravo.com
Motoaki KawanabeSenior Researcher, Advanced Telecommunications Research Institute InternationalVerified email at atr.jp
Alex SmolaAmazon Web ServicesVerified email at smola.org
Alexandre TkatchenkoProfessor of Physics, University of Luxembourg; Visiting Professor, Berlin Big Data CenterVerified email at uni.lu
Andreas ZiehePostdoc researcher, TU BerlinVerified email at cs.tu-berlin.de
Alexander BinderAssociate Professor, University of Oslo (UiO)Verified email at ifi.uio.no
Matthias KrauledatRhine-Waal University of Applied SciencesVerified email at hochschule-rhein-waal.de
Frank C. MeineckeResearch Associate, TU BerlinVerified email at tu-berlin.de
Carmen VidaurreBerlin University of Technology, Universidad Pública de NavarraVerified email at unavarra.es
Michael TangermannBrain State Decoding Lab and Autonomous Intelligent Systems Lab, University of Freiburg, GermanyVerified email at blbt.uni-freiburg.de
Guido NolteDept. of Neurophysiology and Pathophysiology, UKE, HamburgVerified email at uke.de
Siamac FazliNazarbayev UniversityVerified email at nu.edu.kz
Claudia SannelliMedtronicVerified email at medtronic.com
Kristof T. SchüttTechnische Universität BerlinVerified email at tu-berlin.de
Matthias RuppUniversity of KonstanzVerified email at uni-konstanz.de

Klaus-Robert Müller

Google Brain (on leave of Professor for Machine Learning, TU Berlin & Korea University, Seoul)

Verified email at tu-berlin.de

Machine learning artificial intelligence big data computational neuroscience


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Nonlinear component analysis as a kernel eigenvalue problem B Schölkopf, A Smola, KR Müller Neural computation 10 (5), 1299-1319, 1998	9333*	1998
An introduction to kernel-based learning algorithms KR Müller, S Mika, G Rätsch, K Tsuda, B Schölkopf IEEE Transactions on Neural Networks 12 (2), 181 - 201, 2001	4447	2001
Efficient backprop Y LeCun, L Bottou, G Orr, KR Müller Neural networks: Tricks of the trade 7700, 9-53, 2012	4105	2012
Fisher discriminant analysis with kernels S Mika, G Rätsch, J Weston, B Schölkopf, KR Müller Neural Networks for Signal Processing IX, 1999. Proceedings of the 1999 IEEE …, 1999	3435	1999
Kernel principal component analysis B Schölkopf, A Smola, KR Müller Artificial Neural Networks—ICANN'97, 583-588, 1997	2460	1997
Optimizing spatial filters for robust EEG single-trial analysis B Blankertz, R Tomioka, S Lemm, M Kawanabe, KR Müller IEEE Signal processing magazine 25 (1), 41-56, 2008	1749	2008
Input space versus feature space in kernel-based methods B Schölkopf, S Mika, CJC Burges, P Knirsch, KR Müller, G Rätsch, ... IEEE transactions on neural networks 10 (5), 1000-1017, 1999	1566	1999
On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation S Bach, A Binder, G Montavon, F Klauschen, KR Müller, W Samek PloS one 10 (7), e0130140, 2015	1518	2015
Soft margins for AdaBoost G Rätsch, T Onoda, KR Müller Machine learning 42 (3), 287-320, 2001	1491	2001
Predicting time series with support vector machines KR Müller, A Smola, G Rätsch, B Schölkopf, J Kohlmorgen, V Vapnik Artificial Neural Networks—ICANN'97, 999-1004, 1997	1221	1997
Kernel PCA and De-noising in feature spaces. S Mika, B Schölkopf, AJ Smola, KR Müller, M Scholz, G Rätsch Advances of Neural Information Processing Systems (NIPS) 11, 536-542, 1998	1215	1998
Fast and accurate modeling of molecular atomization energies with machine learning M Rupp, A Tkatchenko, KR Müller, OA Von Lilienfeld Physical review letters 108 (5), 058301, 2012	1175	2012
Single-trial analysis and classification of ERP components—a tutorial B Blankertz, S Lemm, M Treder, S Haufe, KR Müller NeuroImage 56 (2), 814-825, 2011	1004	2011
Methods for interpreting and understanding deep neural networks G Montavon, W Samek, KR Müller Digital Signal Processing 73, 1-15, 2018	1001	2018
The non-invasive Berlin brain–computer interface: fast acquisition of effective performance in untrained subjects B Blankertz, G Dornhege, M Krauledat, KR Müller, G Curio NeuroImage 37 (2), 539-550, 2007	850	2007
The BCI competition III: Validating alternative approaches to actual BCI problems B Blankertz, KR Muller, DJ Krusienski, G Schalk, JR Wolpaw, A Schlogl, ... IEEE transactions on neural systems and rehabilitation engineering 14 (2 …, 2006	811	2006
The connection between regularization operators and support vector kernels AJ Smola, B Schölkopf, KR Müller Neural networks 11 (4), 637-649, 1998	804	1998
The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials B Blankertz, KR Muller, G Curio, TM Vaughan, G Schalk, JR Wolpaw, ... IEEE transactions on biomedical engineering 51 (6), 1044-1051, 2004	795	2004
Combining brain–computer interfaces and assistive technologies: state-of-the-art and challenges JR Millán, R Rupp, G Mueller-Putz, R Murray-Smith, C Giugliemma, ... Frontiers in neuroscience 4, 161, 2010	770	2010
Toward Brain-Computer Interfacing G Dornhege, JR Millán, T Hinterberger, DJ McFarland, KR Müller The MIT Press, 2007	712	2007

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