About
Discord Stateoftheart AI
GitHub

Publications

849

Cited by

78609

Klaus-Robert Müller

machine learningartificial intelligencebig datacomputational neuroscience
Free University of Berlin

Germany

Papers and Citations

1 - 50
Nonlinear component analysis as a kernel eigenvalue problem
1998
Bernhard Schölkopf
Klaus-Robert Müller
Alex Smola
Cited by 9067
Efficient backprop
1998
Yann LeCun
Klaus-Robert Müller
Leon Bottou
+1
Cited by 3699
Kernel principal component analysis
1997
Alex Smola
Bernhard Schölkopf
Klaus-Robert Müller
Cited by 2385
Optimizing spatial filters for robust EEG single-trial analysis
2008
Motoaki Kawanabe
Steven Lemm
Klaus-Robert Müller
+5
Cited by 1815
On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation
2015
Sebastian Bach
Frederick Klauschen
Wojciech Samek
+4
Cited by 1758
Soft margins for AdaBoost
2001
Klaus-Robert Müller
Gunnar Rätsch
T Onoda
Cited by 1519
Input space versus feature space in kernel-based methods
1999
Bernhard Schölkopf
Klaus-Robert Müller
Sebastian Mika
+4
Cited by 1510
Predicting time series with support vector machines
1997
Alex Smola
Klaus-Robert Müller
Gunnar Rätsch
+3
Cited by 1194
Kernel PCA and de-noising in feature spaces
1999
Gunnar Rätsch
Sebastian Mika
Bernhard Schölkopf
+3
Cited by 1188
Methods for interpreting and understanding deep neural networks
2018
Wojciech Samek
Grégoire Montavon
Klaus-Robert Müller
Cited by 1131
Fast and accurate modeling of molecular atomization energies with machine learning
2012
Matthias Rupp
Alexandre Tkatchenko
Klaus-Robert Müller
+1
Cited by 1084
Single-trial analysis and classification of ERP components—a tutorial
2011
Benjamin Blankertz
Klaus-Robert Müller
Matthias Treder
+2
Cited by 1047
The non-invasive Berlin brain–computer interface: fast acquisition of effective performance in untrained subjects
2007
Gabriel Curio
Guido Dornhege
Matthias Krauledat
+4
Cited by 878
The connection between regularization operators and support vector kernels
1998
Bernhard Schölkopf
Klaus-Robert Müller
Alex Smola
Cited by 795
Covariate shift adaptation by importance weighted cross validation.
2007
Matthias Krauledat
Masashi Sugiyama
Klaus-Robert Müller
Cited by 684
Toward brain-computer interfacing
2007
Dennis McFarland
Klaus-Robert Müller
Terrence Sejnowski
+3
Cited by 673
Explaining nonlinear classification decisions with deep taylor decomposition
2017
Sebastian Lapuschkin
Klaus-Robert Müller
Grégoire Montavon
+3
Cited by 669
Quantum-chemical insights from deep tensor neural networks
2017
Alexandre Tkatchenko
Stefan Chmiela
Klaus-Robert Müller
+2
Cited by 630
Introduction to machine learning for brain imaging
2011
Thorsten Dickhaus
Klaus-Robert Müller
Benjamin Blankertz
+1
Cited by 624
Covariate shift adaptation by importance weighted cross validation
2007
Matthias Krauledat
Klaus-Robert Müller
Masashi Sugiyama
Cited by 618
Classifying single trial EEG: Towards brain computer interfacing
2002
Klaus-Robert Müller
Benjamin Blankertz
G Curio
Cited by 597
Evaluating the visualization of what a deep neural network has learned
2017
Sebastian Lapuschkin
Grégoire Montavon
Alexander Binder
+3
Cited by 547
How to explain individual classification decisions
2010
Stefan Harmeling
Klaus-Robert Müller
Timon Schroeter
+3
Cited by 546
Neurophysiological predictor of SMR-based BCI performance
2010
Sebastian Halder
Claudia Sannelli
Klaus-Robert Müller
+5
Cited by 529
SchNet–A deep learning architecture for molecules and materials
2018
Huziel E. Sauceda
Kristof T. Schütt
Klaus-Robert Müller
+2
Cited by 506
Review of the BCI competition IV
2012
Ad Aertsen
Gerwin Schalk
Klaus-Robert Müller
+15
Cited by 502
TDSEP—an efficient algorithm for blind separation using time structure
1998
Klaus-Robert Müller
Andreas Ziehe
Cited by 496
Towards adaptive classification for BCI
2006
Rajesh PN Rao
Pradeep Shenoy
Matthias Krauledat
+3
Cited by 491
Enhanced performance by a hybrid NIRS–EEG brain computer interface
2012
Benjamin Blankertz
Klaus-Robert Müller
Siamac Fazli
+4
Cited by 491
Machine learning for real-time single-trial EEG-analysis: from brain–computer interfacing to mental state monitoring
2008
Klaus-Robert Müller
Michael Tangermann
Guido Dornhege
+3
Cited by 490
Assessment and validation of machine learning methods for predicting molecular atomization energies
2013
Klaus-Robert Müller
Alexandre Tkatchenko
Siamac Fazli
+6
Cited by 469
Explainable artificial intelligence: Understanding, visualizing and interpreting deep learning models
2017
Thomas Wiegand
Klaus-Robert Müller
Wojciech Samek
Cited by 459
Robustly estimating the flow direction of information in complex physical systems
2008
Andreas Ziehe
Klaus-Robert Müller
Dr. Nicole Kr�mer
+4
Cited by 428
Incremental support vector learning: Analysis, implementation and applications
2006
Klaus-Robert Müller
Pavel Laskov
C Gehl
+1
Cited by 420
Machine learning predictions of molecular properties: Accurate many-body potentials and nonlocality in chemical space
2015
Alexandre Tkatchenko
Raghunathan Ramakrishnan
O. Anatole von Lilienfeld
+4
Cited by 398
Machine learning of molecular electronic properties in chemical compound space
2013
Matthias Rupp
Alexandre Tkatchenko
Vivekanand Vaman Gobre
+5
Cited by 397
Machine learning of accurate energy-conserving molecular force fields
2017
Kristof T. Schütt
Huziel E. Sauceda
Alexandre Tkatchenko
+3
Cited by 397
Kernels for structured data
2008
Klaus-Robert Müller
K Rieck
Cited by 372
Neural networks: Tricks of the trade
2012
Klaus-Robert Müller
Geoffrey Hinton
Grégoire Montavon
+1
Cited by 354
Finding density functionals with machine learning
2012
Matthias Rupp
Kieron Burke
Klaus-Robert Müller
+2
Cited by 353
The Berlin Brain-Computer Interface: Accurate performance from first-session in BCI-naive subjects
2008
Guido Dornhege
Florian Losch
Gabriel Curio
+6
Cited by 345
Unmasking clever hans predictors and assessing what machines really learn
2019
Sebastian Lapuschkin
Stephan Wäldchen
Grégoire Montavon
+5
Cited by 318
Deep neural networks for no-reference and full-reference image quality assessment
2017
Sebastian Bosse
Thomas Wiegand
Wojciech Samek
+2
Cited by 316
A fast algorithm for joint diagonalization with non-orthogonal transformations and its application to blind source separation
2004
Guido Nolte
Pavel Laskov
Klaus-Robert Müller
+1
Cited by 313
Brain-computer interfacing for intelligent systems
2008
Benjamin Blankertz
Anton Nijholt
Gert Pfurtscheller
+7
Cited by 310
Efficient and accurate lp-norm multiple kernel learning
2009
Klaus-Robert Müller
Pavel Laskov
Marius Kloft
+3
Cited by 308
How to represent crystal structures for machine learning: Towards fast prediction of electronic properties
2014
Antonio Sanna
Kristof T. Schütt
Klaus-Robert Müller
+3
Cited by 295
A critical assessment of connectivity measures for EEG data: a simulation study
2013
Vadim Nikulin
Stefan Haufe
Klaus-Robert Müller
+1
Cited by 259
Invariant common spatial patterns: Alleviating nonstationarities in brain-computer interfacing
2008
Klaus-Robert Müller
Benjamin Blankertz
Ryota Tomioka
+3
Cited by 255
Machine learning techniques for brain-computer interfaces
2004
Gabriel Curio
Guido Dornhege
Matthias Krauledat
+4
Cited by 253