Klaus-Robert Müller

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Citations	96056	51713
h-index	134	101
i10-index	471	372

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Benjamin BlankertzTechnische Universität Berlin, Neurotechnology groupVerified email at tu-berlin.de
Wojciech SamekHead of AI Department, Fraunhofer HHI, Germany, BIFOLD Fellow & ELLIS BerlinVerified 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
Alex SmolaAmazon Web ServicesVerified email at smola.org
Motoaki KawanabeSenior Researcher, Advanced Telecommunications Research Institute InternationalVerified email at atr.jp
Alexandre TkatchenkoProfessor of Physics, University of Luxembourg; Visiting Professor, Berlin Big Data CenterVerified email at uni.lu
Alexander BinderAssociate Professor, University of Oslo (UiO)Verified email at ifi.uio.no
Andreas ZiehePostdoc researcher, TU BerlinVerified email at cs.tu-berlin.de
Frank C. MeineckeResearch Associate, TU BerlinVerified email at tu-berlin.de
Matthias KrauledatRhine-Waal University of Applied SciencesVerified email at hochschule-rhein-waal.de
Carmen VidaurreIkerbasque Research Associate, Tecnalia Health, NeurotechVerified email at tecnalia.com
Michael TangermannDonders Insitute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands, andVerified email at donders.ru.nl
Guido NolteDept. of Neurophysiology and Pathophysiology, UKE, HamburgVerified email at uke.de
Kristof T. SchüttBIFOLD, Technische Universität BerlinVerified email at tu-berlin.de
Siamac FazliNazarbayev UniversityVerified email at nu.edu.kz
Claudia SannelliMedtronicVerified email at medtronic.com
Matthias RuppUniversity of KonstanzVerified email at uni-konstanz.de

Klaus-Robert Müller

TU Berlin & Korea University & Google Brain & MPII

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	9724	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	4595	2001
Efficient backprop Y LeCun, L Bottou, G Orr, KR Müller Neural networks: Tricks of the trade 7700, 9-53, 2012	4406	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	3584	1999
Kernel principal component analysis B Schölkopf, A Smola, KR Müller Artificial Neural Networks—ICANN'97, 583-588, 1997	2644	1997
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	2070	2015
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	1890	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	1602	1999
Soft margins for AdaBoost G Rätsch, T Onoda, KR Müller Machine learning 42 (3), 287-320, 2001	1567	2001
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	1414	2012
Methods for interpreting and understanding deep neural networks G Montavon, W Samek, KR Müller Digital Signal Processing 73, 1-15, 2018	1331	2018
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	1274	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	1269	1998
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	1080	2011
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	917	2007
The BCI competition III: Validating alternative approaches to actual BCI problems B Blankertz, KR Müller, DJ Krusienski, G Schalk, JR Wolpaw, A Schlogl, ... IEEE transactions on neural systems and rehabilitation engineering 14 (2 …, 2006	881	2006
Quantum-chemical insights from deep tensor neural networks KT Schütt, F Arbabzadah, S Chmiela, KR Müller, A Tkatchenko Nature Communications 8, 13890, 2017	836	2017
The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials B Blankertz, KR Müller, G Curio, TM Vaughan, G Schalk, JR Wolpaw, ... IEEE transactions on biomedical engineering 51 (6), 1044-1051, 2004	831	2004
The connection between regularization operators and support vector kernels AJ Smola, B Schölkopf, KR Müller Neural networks 11 (4), 637-649, 1998	831	1998
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	817	2010

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