Klaus-Robert Müller

发表

Neural network-based full-reference image quality assessment

Sebastian Bosse, Dominique Maniry, Klaus-Robert Müller, 2016, 2016 Picture Coding Symposium (PCS).

Why build an integrated EEG-NIRS? About the advantages of hybrid bio-acquisition hardware

Klaus-Robert Müller, Alexander von Lühmann, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Mathematical Programming Approach to the Kernel Fisher Algorithm

Gunnar Rätsch, Klaus-Robert Müller, Sebastian Mika, 2000, NIPS.

TDSEP { an e(cid:14)cient algorithm for blind separation using time structure

Andreas Ziehe, Klaus-Robert Müller, K. Müller, 1998 .

ℓ1-Penalized Linear Mixed-Effects Models for BCI

Klaus-Robert Müller, Siamac Fazli, Márton Danóczy, 2011, ICANN.

Data-driven multisubject neuroimaging analyses for naturalistic stimuli

Klaus-Robert Müller, Christian Wallraven, Felix Bießmann, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

Faculty Opinions recommendation of EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy.

Klaus-Robert Müller, K. Müller, 2019, Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature.

Explaining Predictions of Non-Linear Classifiers in NLP pdf

Klaus-Robert Müller, Wojciech Samek, Franziska Horn, 2016, Rep4NLP@ACL.

Understanding Kernel Ridge Regression: Common behaviors from simple functions to density functionals pdf

Li Li, Klaus-Robert Müller, Kevin Vu, 2015, ArXiv.

Unmasking Clever Hans predictors and assessing what machines really learn

Alexander Binder, Klaus-Robert Müller, Wojciech Samek, 2019, Nature Communications.

Estimating Functions for Blind Separation When Sources Have Variance Dependencies

Motoaki Kawanabe, Klaus-Robert Müller, M. Kawanabe, 2004, J. Mach. Learn. Res..

A Model Selection Method Based on Bound of Learning Coefficient

Klaus-Robert Müller, Sumio Watanabe, Keisuke Yamazaki, 2006, ICANN.

Big Learning and Deep Neural Networks

Klaus-Robert Müller, Grégoire Montavon, K. Müller, 2012, Neural Networks: Tricks of the Trade.

Advances in Cognitive Neural Prosthesis: Recognition of Neural Data with an Information-Theoretic Objective

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces

Klaus-Robert Müller, Masashi Sugiyama, 2002, ICANN.

Slow Feature Analysis as a Potential Preprocessing Tool in BCI

Klaus-Robert Müller, Michael Tangermann, Sven Dähne, 2011 .

The non-invasive Berlin Brain–Computer Interface: Fast acquisition of effective performance in untrained subjects

Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz, 2007, NeuroImage.

Unsupervised Detection and Explanation of Latent-class Contextual Anomalies pdf

Shinichi Nakajima, Klaus-Robert Müller, Grégoire Montavon, 2018, ArXiv.

Compact and Computationally Efficient Representation of Deep Neural Networks

Klaus-Robert Müller, Wojciech Samek, Simon Wiedemann, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Better Representations: Invariant, Disentangled and Reusable

Klaus-Robert Müller, Grégoire Montavon, 2012, Neural Networks: Tricks of the Trade.

Eyes-closed hybrid brain-computer interface employing frontal brain activation

Klaus-Robert Müller, Jaeyoung Shin, Han-Jeong Hwang, 2018, PloS one.

Exploring text datasets by visualizing relevant words pdf

Klaus-Robert Müller, Wojciech Samek, Franziska Horn, 2017, ArXiv.

Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms

Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz, 2004, IEEE Transactions on Biomedical Engineering.

Feature Discovery in Non-Metric Pairwise Data

Klaus-Robert Müller, Julian Laub, K. Müller, 2004, J. Mach. Learn. Res..

A resampling approach to estimate the stability of one-dimensional or multidimensional independent components

Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, 2002, IEEE Transactions on Biomedical Engineering.

Efficient Algorithms for Exact Inference in Sequence Labeling SVMs

Klaus-Robert Müller, Marius Kloft, Nico Görnitz, 2014, IEEE Transactions on Neural Networks and Learning Systems.

A Self-learning System for Detection of Anomalous SIP Messages

Klaus-Robert Müller, Konrad Rieck, Stefan Wahl, 2008, IPTComm.

Classification of Time-Embedded EEG Using Short-Time Principal Component Analysis

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Estimating the Reliability of ICA Projections

Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, 2001, NIPS.

Automating the search for a patent’s prior art with a full text similarity search

Klaus-Robert Müller, Franziska Horn, Franziska Biegler, 2019, PloS one.

Stationary common spatial patterns for brain–computer interfacing

Motoaki Kawanabe, Klaus-Robert Müller, Wojciech Samek, 2012, Journal of neural engineering.

Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers

Gunnar Rätsch, Klaus-Robert Müller, Sebastian Mika, 2001, ICANN.

Combined Optimization of Spatial and Temporal Filters for Improving Brain-Computer Interfacing

Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz, 2006, IEEE Transactions on Biomedical Engineering.

Identifying Individual Facial Expressions by Deconstructing a Neural Network

Klaus-Robert Müller, Wojciech Samek, Grégoire Montavon, 2016, GCPR.

A public dataset of overground walking kinetics and full-body kinematics in healthy adult individuals

Klaus-Robert Müller, Wojciech Samek, Sebastian Lapuschkin, 2019 .

The Berlin Brain-Computer Interface (BBCI) – towards a new communication channel for online control in gaming applications

Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz, 2007, Multimedia Tools and Applications.

Efficient BackProp

Klaus-Robert Müller, Yann LeCun, Léon Bottou, 2012, Neural Networks: Tricks of the Trade.

Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression

Motoaki Kawanabe, Klaus-Robert Müller, Masashi Sugiyama, 2004, Neural Computation.

Analysis of switching dynamics with competing neural networks

Klaus-Robert Müller, Klaus Pawelzik, Jens Kohlmorgen, 1995 .

Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain–Computer Interfaces

Klaus-Robert Müller, Wojciech Samek, Siamac Fazli, 2015, Proceedings of the IEEE.

Introduction to machine learning for brain imaging

Klaus-Robert Müller, Steven Lemm, Benjamin Blankertz, 2011, NeuroImage.

The Need for Open Source Software in Machine Learning

Carl E. Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, 2007, J. Mach. Learn. Res..

Myoelectric Control of Artificial Limbs¿Is There a Need to Change Focus? [In the Spotlight]

Dario Farina, Klaus-Robert Müller, Strahinja Dosen, 2012, IEEE Signal Process. Mag..

Headgear for Mobile Neurotechnology: looking into Alternatives for EEG and NIRS probes

Klaus-Robert Müller, Alexander von Lühmann, Benjamin Blankertz, 2017, GBCIC.

On the influence of high-pass filtering on ICA-based artifact reduction in EEG-ERP

Klaus-Robert Müller, Michael Tangermann, Stefan Debener, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data

Klaus-Robert Müller, Wojciech Samek, Simon Wiedemann, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Using Rest Class and Control Paradigms for Brain Computer Interfacing

Klaus-Robert Müller, Benjamin Blankertz, Siamac Fazli, 2010, Brain-Computer Interfaces.

Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithms

Gunnar Rätsch, Klaus-Robert Müller, Marius Kloft, 2015, ECML/PKDD.

An introduction to kernel-based learning algorithms

Gunnar Rätsch, Bernhard Schölkopf, Klaus-Robert Müller, 2001, IEEE Trans. Neural Networks.

Speeding Learning: Preface

Klaus-Robert Müller, Genevieve B. Orr, G. Orr, 1996, Neural Networks.

Structuring Neural Networks for More Explainable Predictions

Klaus-Robert Müller, Lars Kai Hansen, Grégoire Montavon, 2018 .

Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning

Gunnar Rätsch, Bernhard Schölkopf, Klaus-Robert Müller, 2006, PLoS Comput. Biol..

Large-scale EEG/MEG source localization with spatial flexibility

Stefan Haufe, Klaus-Robert Müller, Benjamin Blankertz, 2011, NeuroImage.

Kernels, Pre-images and Optimization

Klaus-Robert Müller, Sebastian Mika, John C. Snyder, 2013, Empirical Inference.

Visualization of anomaly detection using prediction sensitivity

Klaus-Robert Müller, Christin Schäfer, Konrad Rieck, 2005, Sicherheit.

An Introduction to Brain-Computer Interfacing

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

A consistency-based model selection for one-class classification

Klaus-Robert Müller, David M. J. Tax, K. Müller, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed Convergence and High Decoding Performance

Klaus-Robert Müller, Michael Tangermann, David Hübner, 2019, Brain-Computer Interface Research.

Discovering topics in text datasets by visualizing relevant words pdf

Klaus-Robert Müller, Wojciech Samek, Franziska Horn, 2017, ArXiv.

Deep Boltzmann Machines as Feed-Forward Hierarchies

Klaus-Robert Müller, Grégoire Montavon, Mikio L. Braun, 2012, AISTATS.

Learning and Evaluation in Presence of Non-i.i.d. Label Noise

Alexander Binder, Klaus-Robert Müller, Marius Kloft, 2014, AISTATS.

Stereoscopic depth increases intersubject correlations of brain networks

Klaus-Robert Müller, Felix Bießmann, Michael Gaebler, 2014, NeuroImage.

Learning representations of molecules and materials with atomistic neural networks pdf

Klaus-Robert Müller, Alexandre Tkatchenko, Kristof T. Schütt, 2018, Machine Learning Meets Quantum Physics.

Increase Information Transfer Rates in BCI by CSP Extension to Multi-class

Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz, 2003, NIPS.

Inlier‐based ICA with an application to superimposed images

Klaus-Robert Müller, Stefan Harmeling, Frank C. Meinecke, 2005, Int. J. Imaging Syst. Technol..

On Taxonomies for Multi-class Image Categorization

Motoaki Kawanabe, Alexander Binder, Klaus-Robert Müller, 2012, International Journal of Computer Vision.

Proceedings of the 12th International Conference on Neural Information Processing Systems

Klaus-Robert Müller, Sara A. Solla, Sara A. Solla, 1999 .

General Signal Processing and Machine Learning Tools for BCI Analysis

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Regularization Techniques to Improve Generalization

Klaus-Robert Müller, 2012, Neural Networks: Tricks of the Trade.

Recent advances in brain-machine interfaces

Tadashi Isa, Klaus-Robert Müller, Eberhard E. Fetz, 2009, Neural Networks.

Improving Network Models and Algorithmic Tricks: Preface

Klaus-Robert Müller, Genevieve B. Orr, G. Orr, 1996, Neural Networks: Tricks of the Trade.

Language Detection For Short Text Messages In Social Media pdf

Klaus-Robert Müller, Ivana Balazevic, Mikio L. Braun, 2016, ArXiv.

Asymptotic Bayesian generalization error when training and test distributions are different

Motoaki Kawanabe, Klaus-Robert Müller, Masashi Sugiyama, 2007, ICML '07.

Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution

Shinichi Nakajima, Klaus-Robert Müller, Wojciech Samek, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Noninvasive Estimates of Local Field Potentials for Brain-Computer Interfaces

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Editorial IEEE Brain Initiative Special issue on BMI/BCI Systems

Klaus-Robert Müller, Jose M. Carmena, 2017 .

The Berlin Brain-Computer Interface: Report from the Feedback Sessions

Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz, 2005 .

Asymptotic Properties of the Fisher Kernel

Motoaki Kawanabe, Klaus-Robert Müller, Shotaro Akaho, 2004, Neural Computation.

Intrusion detection in unlabeled data with quarter-sphere Support Vector Machines

Klaus-Robert Müller, Christin Schäfer, Igor Kotenko, 2004 .

Improving Network Models and Algorithmic Tricks

Klaus-Robert Müller, 2012, Neural Networks: Tricks of the Trade.

Wasserstein Training of Restricted Boltzmann Machines

Klaus-Robert Müller, Grégoire Montavon, Marco Cuturi, 2016, NIPS.

The Joint Submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the ImageCLEF2011 Photo Annotation Task

Motoaki Kawanabe, Alexander Binder, Klaus-Robert Müller, 2011, CLEF.

Understanding Patch-Based Learning by Explaining Predictions pdf

Klaus-Robert Müller, Wojciech Samek, Grégoire Montavon, 2018, ArXiv.

v-Arc: Ensemble Learning in the Presence of Outliers

Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, 1999, NIPS.

The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials

Klaus-Robert Müller, Christa Neuper, Gert Pfurtscheller, 2004, IEEE Transactions on Biomedical Engineering.

Detecting Mental States by Machine Learning Techniques: The Berlin Brain-Computer Interface

Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz, 2009 .

Uniqueness of Non-Gaussianity-Based Dimension Reduction

Motoaki Kawanabe, Klaus-Robert Müller, Fabian J. Theis, 2011, IEEE Transactions on Signal Processing.

Regularization Techniques to Improve Generalization: Preface

Klaus-Robert Müller, Genevieve B. Orr, G. Orr, 1996, Neural Networks.

Zero Training for BCI – Reality for BCI Systems Based on Event-Related Potentials

Klaus-Robert Müller, Benjamin Schrauwen, Michael Tangermann, 2013, Biomedizinische Technik. Biomedical engineering.

Predicting Error Bars for QSAR Models

Klaus-Robert Müller, Sebastian Mika, Anton Schwaighofer, 2007 .

A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy

Klaus-Robert Müller, Alexander von Lühmann, Tülay Adali, 2019, NeuroImage.

M3BA: A Mobile, Modular, Multimodal Biosignal Acquisition Architecture for Miniaturized EEG-NIRS-Based Hybrid BCI and Monitoring

Heidrun Wabnitz, Klaus-Robert Müller, Alexander von Lühmann, 2017, IEEE Transactions on Biomedical Engineering.

Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation pdf

Alexander Binder, Klaus-Robert Müller, Wojciech Samek, 2016, ArXiv.

Data Set A is a Pattern Matching Problem

Klaus-Robert Müller, Jens Kohlmorgen, 2004, Neural Processing Letters.

Combining sparsity and rotational invariance in EEG/MEG source reconstruction

Andreas Ziehe, Stefan Haufe, Klaus-Robert Müller, 2008, NeuroImage.

Single-Trial Analysis of EEG during Rapid Visual Discrimination: Enabling Cortically Coupled Computer Vision

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Co-adaptive calibration to improve BCI efficiency

Klaus-Robert Müller, Benjamin Blankertz, Carmen Vidaurre, 2011, Journal of neural engineering.

Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles pdf

Masaru Ishii, Alexander Binder, Klaus-Robert Müller, 2018, ArXiv.

Learning Invariant Representations of Molecules for Atomization Energy Prediction

Andreas Ziehe, Klaus-Robert Müller, Siamac Fazli, 2012, NIPS.

Brain-computer interfacing in discriminative and stationary subspaces

Motoaki Kawanabe, Klaus-Robert Müller, Wojciech Samek, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals pdf

Klaus-Robert Müller, Wojciech Samek, Sebastian Lapuschkin, 2018, ArXiv.

Support Vector Data Descriptions and $k$ -Means Clustering: One Class?

Shinichi Nakajima, Klaus-Robert Müller, Marius Kloft, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Toward Brain-Computer Interfacing (Neural Information Processing)

Terrence J. Sejnowski, José del R. Millán, Klaus-Robert Müller, 2007 .

Modeling Sparse Connectivity Between Underlying Brain Sources for EEG/MEG

Motoaki Kawanabe, Stefan Haufe, Klaus-Robert Müller, 2009, IEEE Transactions on Biomedical Engineering.

Brain-Computer Interfacing for Intelligent Systems

Desney S. Tan, José del R. Millán, Anton Nijholt, 2008, IEEE Intelligent Systems.

Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller

Klaus-Robert Müller, Benjamin Schrauwen, Michael Tangermann, 2014, Journal of neural engineering.

Optimal dyadic decision trees

Klaus-Robert Müller, Gilles Blanchard, Christin Schäfer, 2007, Machine Learning.

sGDML: Constructing accurate and data efficient molecular force fields using machine learning

Klaus-Robert Müller, Alexandre Tkatchenko, Igor Poltavsky, 2018, Comput. Phys. Commun..

Pattern Recognition, 28th DAGM Symposium, Berlin, Germany, September 12-14, 2006, Proceedings

Klaus-Robert Müller, Katrin Franke, Bertram Nickolay, 2006, DAGM-Symposium.

Invariant Feature Extraction and Classification in Kernel Spaces

Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, 1999, NIPS.

Explanations can be manipulated and geometry is to blame

Klaus-Robert Müller, Maximilian Alber, Christopher J. Anders, 2019, NeurIPS.

Evaluating the Visualization of What a Deep Neural Network Has Learned

Alexander Binder, Klaus-Robert Müller, Wojciech Samek, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels

Klaus-Robert Müller, Konrad Rieck, Pavel Laskov, 2006, DAGM-Symposium.

Regression for sets of polynomial equations

Franz J. Király, Klaus-Robert Müller, Frank C. Meinecke, 2011, AISTATS.

Deep Boltzmann Machines and the Centering Trick

Klaus-Robert Müller, Grégoire Montavon, K. Müller, 2012, Neural Networks: Tricks of the Trade.

Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective?

Klaus-Robert Müller, Shun-ichi Amari, Noboru Murata, 1995, NIPS.

Mean shrinkage improves the classification of ERP signals by exploiting additional label information

Klaus-Robert Müller, Daniel Bartz, Benjamin Blankertz, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

An Empirical Study on The Properties of Random Bases for Kernel Methods

Klaus-Robert Müller, Fei Sha, Pieter-Jan Kindermans, 2017, NIPS.

Insights from Classifying Visual Concepts with Multiple Kernel Learning

Motoaki Kawanabe, Shinichi Nakajima, Alexander Binder, 2011, PloS one.

How to Explain Individual Classification Decisions pdf

Motoaki Kawanabe, Klaus-Robert Müller, Stefan Harmeling, 2009, J. Mach. Learn. Res..

The connection between regularization operators and support vector kernels

Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller, 1998, Neural Networks.

Editorial: Charting Chemical Space: Challenges and Opportunities for Artificial Intelligence and Machine Learning

Klaus-Robert Müller, Pierre Baldi, Gisbert Schneider, 2011, Molecular informatics.

Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing

Motoaki Kawanabe, Klaus-Robert Müller, Benjamin Blankertz, 2007, NIPS.

BRAIN-COMPUTER INTERFACES TRANSLATE BRAIN SIGNALS INTO CONTROL COMMANDS.

Klaus-Robert Müller, Benjamin Blankertz, K. Müller, 2006 .

Single-trial analysis and classification of ERP components — A tutorial

Stefan Haufe, Klaus-Robert Müller, Steven Lemm, 2011, NeuroImage.

Optimizing for Measure of Performance in Max-Margin Parsing

Shinichi Nakajima, Klaus-Robert Müller, Nico Görnitz, 2017, IEEE Transactions on Neural Networks and Learning Systems.

A Maxmin Approach to Optimize Spatial Filters for EEG Single-Trial Classification

Motoaki Kawanabe, Klaus-Robert Müller, Benjamin Blankertz, 2009, IWANN.

Stationary Subspace Analysis

Klaus-Robert Müller, Frank C. Meinecke, Paul von Bünau, 2009, ICA.

Enhanced Performance by a Hybrid Nirs–eeg Brain Computer Interface

Klaus-Robert Müller, Gabriel Curio, Arno Villringer, 2022 .

Learning how to explain neural networks: PatternNet and PatternAttribution

Klaus-Robert Müller, Dumitru Erhan, Been Kim, 2017, ICLR.

Dynamics of supervised learning with restricted training sets and noisy teachers

Klaus-Robert Müller, Sara A. Solla, T. K. Leen, 2000, NIPS 2000.

Predicting BCI Subject Performance Using Probabilistic Spatio-Temporal Filters

Klaus-Robert Müller, Heung-Il Suk, Siamac Fazli, 2014, PloS one.

ML2Motif—Reliable extraction of discriminative sequence motifs from learning machines

Klaus-Robert Müller, Marius Kloft, Nico Görnitz, 2017, PloS one.

iNNvestigate neural networks!

Klaus-Robert Müller, Wojciech Samek, Sebastian Lapuschkin, 2018, J. Mach. Learn. Res..

Klaus-Robert Müller, Franziska Horn, 2017, ArXiv.

Temporal kernel CCA and its application in multimodal neuronal data analysis

Klaus-Robert Müller, Arthur Gretton, Felix Bießmann, 2010, Machine Learning.

Covariate Shift Adaptation by Importance Weighted Cross Validation

Klaus-Robert Müller, Masashi Sugiyama, Matthias Krauledat, 2007, J. Mach. Learn. Res..

Automated ocular artifact removal: comparing regression and component-based methods

Andreas Ziehe, Klaus-Robert Müller, Alois Schloegl, 2009 .

Asymptotic statistical theory of overtraining and cross-validation

Klaus-Robert Müller, Shun-ichi Amari, Noboru Murata, 1997, IEEE Trans. Neural Networks.

Logistic Regression for Single Trial EEG Classification

Kazuyuki Aihara, Klaus-Robert Müller, Ryota Tomioka, 2006, NIPS.

A mathematical model for the two-learners problem

Klaus-Robert Müller, Carmen Vidaurre, Martijn Schreuder, 2017, Journal of neural engineering.

Unmixing Hyperspectral Data

Andreas Ziehe, Lucas C. Parra, Klaus-Robert Müller, 1999, NIPS.

Unsupervised Decomposition Methods for Analysis of Multimodal Neural Data

Klaus-Robert Müller, Frank C. Meinecke, Felix Biessmann, 2013 .

Sharing hash codes for multiple purposes

Shinichi Nakajima, Klaus-Robert Müller, Wojciech Samek, 2016, ArXiv.

Faculty Opinions recommendation of VAMPnets for deep learning of molecular kinetics.

Klaus-Robert Müller, K. Müller, 2018, Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature.

Local Bandwidth Estimation via Mixture of Gaussian Processes pdf

Shinichi Nakajima, Klaus-Robert Müller, Danny Panknin, 2019, ArXiv.

Wasserstein Training of Boltzmann Machines pdf

Klaus-Robert Müller, Grégoire Montavon, Marco Cuturi, 2015, ArXiv.

Improving BCI performance by task-related trial pruning

Klaus-Robert Müller, Mikio L. Braun, Claudia Sannelli, 2009, Neural Networks.

PERFORMANCE COMPARISON OF LEARNING ALGORITHMS IN HOPFIELD NETWORKS

Klaus-Robert Müller, Andreas Waldenspuhl, 1992 .

From outliers to prototypes: Ordering data

Klaus-Robert Müller, David M. J. Tax, Stefan Harmeling, 2006, Neurocomputing.

Towards Zero Training for Brain-Computer Interfacing

Klaus-Robert Müller, Benjamin Blankertz, Michael Tangermann, 2008, PloS one.

Spärlich verbundene neuronale Netze und ihre Anwendung

Klaus-Robert Müller, K. Müller, 1994 .

Transductive Regression for Data With Latent Dependence Structure

Shinichi Nakajima, Klaus-Robert Müller, Luiz Alberto Lima, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Understanding Patch-Based Learning of Video Data by Explaining Predictions

Klaus-Robert Müller, Wojciech Samek, Grégoire Montavon, 2019, Explainable AI.

Improving Classification Performance of a brain-Computer Interface System based on Rapid Serial Visual Presentation by Shifting stimuli

Klaus-Robert Müller, Seong-Whan Lee, Han-Jeong Hwang, 2017, GBCIC.

Spatio-spectral filters for improving the classification of single trial EEG

Klaus-Robert Müller, Steven Lemm, Gabriel Curio, 2005, IEEE Transactions on Biomedical Engineering.

Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class Models pdf

Klaus-Robert Müller, Grégoire Montavon, Jacob Kauffmann, 2018, Pattern Recognit..

Kernel Analysis of Deep Networks

Klaus-Robert Müller, Grégoire Montavon, Mikio L. Braun, 2011, J. Mach. Learn. Res..

Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data

Stefan Haufe, Klaus-Robert Müller, Wojciech Samek, 2015, Proceedings of the IEEE.

Machine learning of accurate energy-conserving molecular force fields

Klaus-Robert Müller, Alexandre Tkatchenko, Igor Poltavsky, 2016, Science Advances.

Enhancing the signal-to-noise ratio of ICA-based extracted ERPs

Klaus-Robert Müller, Steven Lemm, Gabriel Curio, 2006, IEEE Transactions on Biomedical Engineering.

Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication

Klaus-Robert Müller, Wojciech Samek, Simon Wiedemann, 2018, 2019 International Joint Conference on Neural Networks (IJCNN).

Learning from label proportions in brain-computer interfaces

Klaus-Robert Müller, Michael Tangermann, Konstantin Schmid, 2017 .

Localizing and Estimating Causal Relations of Interacting Brain Rhythms

Klaus-Robert Müller, Guido Nolte, K. Müller, 2010, Front. Hum. Neurosci..

Securing IMS against novel threats

Klaus-Robert Müller, Konrad Rieck, Stefan Wahl, 2009 .

Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules

Klaus-Robert Müller, Sebastian Mika, Anton Schwaighofer, 2007, J. Comput. Aided Mol. Des..

BCI Systems and Approaches

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Tricks for Time Series

Klaus-Robert Müller, 2012, Neural Networks: Tricks of the Trade.

In Search of Non-Gaussian Components of a High-Dimensional Distribution

Motoaki Kawanabe, Klaus-Robert Müller, Masashi Sugiyama, 2006, J. Mach. Learn. Res..

Feature Importance Measure for Non-linear Learning Algorithms pdf

Klaus-Robert Müller, Marius Kloft, Nico Görnitz, 2016, ArXiv.

Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information

Klaus-Robert Müller, Felix Bießmann, Yusuke Murayama, 2011, MLINI.

Analyzing neuroimaging data with subclasses: A shrinkage approach

Klaus-Robert Müller, Daniel Bartz, Benjamin Blankertz, 2016, NeuroImage.

The Importance of Online Error Correction and Feed-Forward Adjustments in Brain-Machine Interfaces for Restoration of Movement

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

ℓ1-penalized linear mixed-effects models for high dimensional data with application to BCI

Klaus-Robert Müller, Siamac Fazli, Márton Danóczy, 2011, NeuroImage.

On Relevant Dimensions in Kernel Feature Spaces

Joachim M. Buhmann, Klaus-Robert Müller, Mikio L. Braun, 2008, J. Mach. Learn. Res..

Measuring phase synchronization of superimposed signals.

Andreas Ziehe, Klaus-Robert Müller, Jürgen Kurths, 2005, Physical review letters.

Optimizing the regularization for image reconstruction of cerebral diffuse optical tomography

Stefan Haufe, Klaus-Robert Müller, Jens Steinbrink, 2014, Journal of biomedical optics.

Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction

Motoaki Kawanabe, Klaus-Robert Müller, Masashi Sugiyama, 2005, NIPS.

The Stationary Subspace Analysis Toolbox

Franz J. Király, Klaus-Robert Müller, Frank C. Meinecke, 2011, J. Mach. Learn. Res..

A Scatter-Based Prototype Framework and Multi-Class Extension of Support Vector Machines

Robert Jenssen, Klaus-Robert Müller, Alexander Zien, 2012, PloS one.

Injecting noise for analysing the stability of ICA components

Klaus-Robert Müller, Stefan Harmeling, Frank C. Meinecke, 2004, Signal Process..

An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels

Weiwei Liu, Ivor W. Tsang, Klaus-Robert Müller, 2017, J. Mach. Learn. Res..

Lernen mit Kernen

Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller, 1999, Informatik Forschung und Entwicklung.

Automatie Identification of Faked and Fraudulent Interviews in the German SOEP

Klaus-Robert Müller, Christin Schäfer, Gert G. Wagner, 2005, Journal of Contextual Economics – Schmollers Jahrbuch.

Electrocorticogram as a Brain-Computer Interface Signal Source

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Hybrid EEG-NIRS brain-computer interface under eyes-closed condition

Klaus-Robert Müller, Jaeyoung Shin, Han-Jeong Hwang, 2017, 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters

Stefan Haufe, Klaus-Robert Müller, Michael Tangermann, 2014, NeuroImage.

Independent Component Analysis Aapo Hyvärinen, Juha Karhunen,

Erkki Oja, Motoaki Kawanabe, Andreas Ziehe, 2004 .

A Probabilistic Approach to Classifying Metabolic Stability

Klaus-Robert Müller, Sebastian Mika, Anton Schwaighofer, 2008, J. Chem. Inf. Model..

Optimizing spatial filters for the extraction of envelope-coupled neural oscillations

Stefan Haufe, Klaus-Robert Müller, Vadim V. Nikulin, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

Zero Shot Learning for Semantic Boundary Detection - How Far Can We Get? pdf

Alexander Binder, Klaus-Robert Müller, Wojciech Samek, 2016, ArXiv.

An Improvement of AdaBoost to Avoid Overfitting

Gunnar Rätsch, Klaus-Robert Müller, Takashi Onoda, 1998, ICONIP.

Towards Explainable Artificial Intelligence

Klaus-Robert Müller, Wojciech Samek, K. Müller, 2019, Explainable AI.

Advances in neural information processing systems : proceedings of the ... conference

Thomas G. Dietterich, Richard P. Lippmann, Klaus-Robert Müller, 1989 .

Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces

Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces

Motoaki Kawanabe, Klaus-Robert Müller, Masashi Sugiyama, 2006, ICA.

Tight Bound of Incremental Cover Trees for Dynamic Diversification pdf

Shinichi Nakajima, Klaus-Robert Müller, Hannah Marienwald, 2018, ArXiv.

Pyff – A Pythonic Framework for Feedback Applications and Stimulus Presentation in Neuroscience

Klaus-Robert Müller, John Williamson, Benjamin Blankertz, 2010, Front. Neurosci..

Unsupervised Learning for Brain-Computer Interfaces Based on Event-Related Potentials: Review and Online Comparison [Research Frontier]

Klaus-Robert Müller, Michael Tangermann, David Hübner, 2018, IEEE Computational Intelligence Magazine.

Analysis of Drifting Dynamics with Neural Network Hidden Markov Models

Klaus-Robert Müller, Klaus Pawelzik, Jens Kohlmorgen, 1997, NIPS.

Analyzing Local Structure in Kernel-Based Learning: Explanation, Complexity, and Reliability Assessment

Klaus-Robert Müller, Grégoire Montavon, Mikio L. Braun, 2013, IEEE Signal Processing Magazine.

Block adaptive selection of multiple core transforms for video coding

Heiko Schwarz, Detlev Marpe, Klaus-Robert Müller, 2016, 2016 Picture Coding Symposium (PCS).

Towards an enhanced ERP speller based on the visual processing of face familiarity

Klaus-Robert Müller, Siamac Fazli, Seong-Whan Lee, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Heterogeneous Component Analysis

Motoaki Kawanabe, Shin Ishii, Klaus-Robert Müller, 2007, NIPS.

Adaptive On-line Learning in Changing Environments

Andreas Ziehe, Klaus-Robert Müller, Shun-ichi Amari, 1996, NIPS.

Importance-Weighted Cross-Validation for Covariate Shift

Klaus-Robert Müller, Masashi Sugiyama, Benjamin Blankertz, 2006, DAGM-Symposium.

On-line learning in changing environments with applications in supervised and unsupervised learning

Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, 2002, Neural Networks.

The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States

Klaus-Robert Müller, Steven Lemm, Gabriel Curio, 2006, J. Univers. Comput. Sci..

Associative storage and retrieval of highly correlated natural pattern sets in diluted Hopfield networks

Klaus-Robert Müller, Herbert Janssen, Thomas Stiefvater, 1993, IEEE International Conference on Neural Networks.

Deep Transfer Learning For Whole-Brain fMRI Analyses pdf

Klaus-Robert Müller, Wojciech Samek, Armin W. Thomas, 2019, OR/MLCN@MICCAI.

Input space versus feature space in kernel-based methods

Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, 1999, IEEE Trans. Neural Networks.

The LDA beamformer: Optimal estimation of ERP source time series using linear discriminant analysis

Klaus-Robert Müller, Benjamin Blankertz, Forooz Shahbazi Avarvand, 2016, NeuroImage.

Identifying Granger causal relationships between neural power dynamics and variables of interest

Stefan Haufe, Klaus-Robert Müller, Sven Dähne, 2015, NeuroImage.

Subspace information criterion for nonquadratic regularizers-Model selection for sparse regressors

Klaus-Robert Müller, Masashi Sugiyama, Koji Tsuda, 2002, IEEE Trans. Neural Networks.

Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling pdf

Shinichi Nakajima, Klaus-Robert Müller, Wojciech Samek, 2019, ArXiv.

Covariance shrinkage for autocorrelated data

Klaus-Robert Müller, Daniel Bartz, K. Müller, 2014, NIPS.

Alternative CSP approaches for multimodal distributed BCI data

Stephanie Brandl, Klaus-Robert Müller, Wojciech Samek, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Machine Learning for Intrusion Detection

Klaus-Robert Müller, Konrad Rieck, Pavel Laskov, 2007, NATO ASI Mining Massive Data Sets for Security.

Machine-Learning-Based Coadaptive Calibration for Brain-Computer Interfaces

Klaus-Robert Müller, Benjamin Blankertz, Carmen Vidaurre, 2011, Neural Computation.

Machine learning for real-time single-trial EEG-analysis: From brain–computer interfacing to mental state monitoring

Klaus-Robert Müller, Benjamin Blankertz, Michael Tangermann, 2008, Journal of Neuroscience Methods.

Combining BCI and Virtual Reality: Scouting Virtual Worlds

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Validity of Time Reversal for Testing Granger Causality

Stefan Haufe, Klaus-Robert Müller, Daniel Bartz, 2015, IEEE Transactions on Signal Processing.

Enhanced representation and multi-task learning for image annotation

Motoaki Kawanabe, Alexander Binder, Klaus-Robert Müller, 2013, Comput. Vis. Image Underst..

Tackling noise, artifacts and nonstationarity in BCI with robust divergences

Klaus-Robert Müller, Wojciech Samek, K. Müller, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Decoding Brain States during Auditory Perception by Supervising Unsupervised Learning

Klaus-Robert Müller, Marius Kloft, Nico Görnitz, 2013, J. Comput. Sci. Eng..

Evaluation of a Compact Hybrid Brain-Computer Interface System

Klaus-Robert Müller, Jaeyoung Shin, Han-Jeong Hwang, 2017, BioMed research international.

Finding Density Functionals with Machine Learning

Klaus-Robert Müller, John C. Snyder, Matthias Rupp, 2011, Physical review letters.

Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information

Klaus-Robert Müller, Lars Kai Hansen, Sofie Therese Hansen, 2015, 2015 International Workshop on Pattern Recognition in NeuroImaging.

Feature Extraction for One-Class Classification

Klaus-Robert Müller, David M. J. Tax, K. Müller, 2003, ICANN.

Investigating the influence of noise and distractors on the interpretation of neural networks pdf

Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans, 2016, ArXiv.

A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models pdf

Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek, 2017, ArXiv.

N-ary decomposition for multi-class classification

Klaus-Robert Müller, Shen-Shyang Ho, Joey Tianyi Zhou, 2019, Machine Learning.

A convolutional neural network for steady state visual evoked potential classification under ambulatory environment

Klaus-Robert Müller, Seong-Whan Lee, No-Sang Kwak, 2017, PloS one.

Robust Ensemble Learning for Data Mining

Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, 2000, PAKDD.

Reinforcement learning for video encoder control in HEVC

Heiko Schwarz, Klaus-Robert Müller, Thomas Wiegand, 2017, 2017 International Conference on Systems, Signals and Image Processing (IWSSIP).

An Efficient ERP-Based Brain-Computer Interface Using Random Set Presentation and Face Familiarity

Klaus-Robert Müller, Siamac Fazli, Seong-Whan Lee, 2014, PloS one.

Incremental Support Vector Learning: Analysis, Implementation and Applications

Klaus-Robert Müller, Pavel Laskov, Stefan Krüger, 2006, J. Mach. Learn. Res..

Special Issue on Advances in Kernel-Based Learning for Signal Processing

Sergios Theodoridis, Klaus-Robert Müller, Kenji Fukumizu, 2013 .

Artifact Reduction in Magnetoneurography Based on Time-Delayed Second Order Correlations

Andreas Ziehe, Klaus-Robert Müller, Gabriel Curio, 1998 .

Neurally informed assessment of perceived natural texture image quality

Sebastian Bosse, Klaus-Robert Müller, Thomas Wiegand, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Approximating the Best Linear Unbiased Estimator of Non-Gaussian Signals with Gaussian Noise

Motoaki Kawanabe, Klaus-Robert Müller, Masashi Sugiyama, 2008, IEICE Trans. Inf. Syst..

Capturing intensive and extensive DFT/TDDFT molecular properties with machine learning

Klaus-Robert Müller, Alexandre Tkatchenko, Wiktor Pronobis, 2018 .

Benchmark Data Set for in Silico Prediction of Ames Mutagenicity

Klaus-Robert Müller, Sebastian Mika, Thomas Steger-Hartmann, 2009, J. Chem. Inf. Model..

Object Boundary Detection and Classification with Image-Level Labels

Alexander Binder, Klaus-Robert Müller, Wojciech Samek, 2017, GCPR.

CSP patches: an ensemble of optimized spatial filters. An evaluation study

Klaus-Robert Müller, Benjamin Blankertz, Carmen Vidaurre, 2011, Journal of neural engineering.

Tricks for Time Series: Preface

Klaus-Robert Müller, Genevieve B. Orr, G. Orr, 1996, Neural Networks: Tricks of the Trade.

Assessing Perceived Image Quality Using Steady-State Visual Evoked Potentials and Spatio-Spectral Decomposition

Sebastian Bosse, Klaus-Robert Müller, Thomas Wiegand, 2018, IEEE Transactions on Circuits and Systems for Video Technology.

Identification of nonstationary dynamics in physiological recordings

Klaus-Robert Müller, Klaus Pawelzik, Jens Kohlmorgen, 2000, Biological Cybernetics.

The Berlin Brain-Computer Interface

Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz, 2008, WCCI.

The P300 BCI: on its Way to End-Users?

Klaus-Robert Müller, Cuntai Guan, Andrea Kübler, 2017, GBCIC.

Probabilistically Modeling and Decoding Neural Population Activity in Motor Cortex

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Resolving challenges in deep learning-based analyses of histopathological images using explanation methods

Klaus-Robert Müller, Wojciech Samek, Sebastian Lapuschkin, 2019, Scientific Reports.

Improving Human Performance in a Real Operating Environment through Real-Time Mental Workload Detection

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

Alexander Binder, Klaus-Robert Müller, Wojciech Samek, 2015, PloS one.

A New Discriminative Kernel from Probabilistic Models

Gunnar Rätsch, Motoaki Kawanabe, Klaus-Robert Müller, 2001, Neural Computation.

N-ary Error Correcting Coding Scheme pdf

Ivor W. Tsang, Klaus-Robert Müller, Shen-Shyang Ho, 2016, ArXiv.

Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs pdf

Shinichi Nakajima, Klaus-Robert Müller, Nico Görnitz, 2019, AISTATS.

Robust Statistical Detection of Power-Law Cross-Correlation

Klaus-Robert Müller, Vadim V. Nikulin, Duncan A. J. Blythe, 2016, Scientific Reports.

Directional Variance Adjustment: a novel covariance estimator for high dimensional portfolio optimization pdf

Klaus-Robert Müller, Steven Lemm, Daniel Bartz, 2011, arXiv.org.

Accurate Maximum-Margin Training for Parsing With Context-Free Grammars

Klaus-Robert Müller, Mikio L. Braun, Alexander Bauer, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Applicability Domains for Classification Problems: Benchmarking of Distance to Models for Ames Mutagenicity Set

Igor V. Tetko, Artem Cherkasov, Klaus-Robert Müller, 2010, J. Chem. Inf. Model..

From Clustering to Cluster Explanations via Neural Networks pdf

Klaus-Robert Müller, Wojciech Samek, Grégoire Montavon, 2019, IEEE transactions on neural networks and learning systems.

Novel Paradigms for Auditory ERP Spellers with Spatial Hearing: Two Online Studies

Klaus-Robert Müller, Benjamin Blankertz, Michael Tangermann, 2010 .

Soft Margins for AdaBoost

Gunnar Rätsch, Klaus-Robert Müller, Takashi Onoda, 2001, Machine Learning.

Combining Features for BCI

Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz, 2002, NIPS.

Subject-independent mental state classification in single trials

Klaus-Robert Müller, Benjamin Blankertz, Siamac Fazli, 2009, Neural Networks.

Why Does a Hilbertian Metric Work Efficiently in Online Learning With Kernels?

Klaus-Robert Müller, Masahiro Yukawa, 2016, IEEE Signal Processing Letters.

Neurophysiological predictor of SMR-based BCI performance

Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz, 2010, NeuroImage.

The Berlin Brain-Computer Interface: Accurate performance from first-session in BCI-naive subjects

Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz, 2008, IEEE Transactions on Biomedical Engineering.

Graz-Brain-Computer Interface: State of Research

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

BCI Applications for the General Population

Klaus-Robert Müller, Benjamin Blankertz, Michael Tangermann, 2012 .

Motion-Based Rapid Serial Visual Presentation for Gaze-Independent Brain-Computer Interfaces

Klaus-Robert Müller, Dong-Min Kim, Seong-Whan Lee, 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Classifying 'Drug-likeness' with Kernel-Based Learning Methods

Gunnar Rätsch, Klaus-Robert Müller, Sebastian Mika, 2005, J. Chem. Inf. Model..

Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation

Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, 2003, J. Mach. Learn. Res..

On the information and representation of non-Euclidean pairwise data

Joachim M. Buhmann, Volker Roth, Klaus-Robert Müller, 2006, Pattern Recognit..

A better metric in kernel adaptive filtering

Klaus-Robert Müller, Masahiro Yukawa, Airi Takeuchi, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Three-Way Analysis of Spectrospatial Electromyography Data: Classification and Interpretation

Klaus-Robert Müller, Aapo Hyvärinen, Jukka-Pekka Kauppi, 2015, PloS one.

Estimation of distortion sensitivity for visual quality prediction using a convolutional neural network

Sebastian Bosse, Klaus-Robert Müller, Wojciech Samek, 2019, Digit. Signal Process..

Quantifying spatiotemporal dynamics of twitter replies to news feeds

Andreas Harth, Klaus-Robert Müller, Felix Bießmann, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Model Selection Under Covariate Shift

Klaus-Robert Müller, Masashi Sugiyama, K. Müller, 2005, ICANN.

Simultaneous and proportional control of 2D wrist movements with myoelectric signals

Dario Farina, Lucas C. Parra, Klaus-Robert Müller, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Improvement of Information Transfer Rates Using a Hybrid EEG-NIRS Brain-Computer Interface with a Short Trial Length: Offline and Pseudo-Online Analyses

Klaus-Robert Müller, Jaeyoung Shin, Han-Jeong Hwang, 2018, Sensors.

BioSig: An Open-Source Software Library for BCI Research

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Adaptation in Brain-Computer Interfaces

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Efficient Exact Inference With Loss Augmented Objective in Structured Learning

Shinichi Nakajima, Klaus-Robert Müller, Alexander Bauer, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Machine Learning for Visual Concept Recognition and Ranking for Images

Motoaki Kawanabe, Alexander Binder, Klaus-Robert Müller, 2014, Towards the Internet of Services.

Analyzing Coupled Brain Sources: Distinguishing True from Spurious Interaction

Andreas Ziehe, Klaus-Robert Müller, Guido Nolte, 2005, NIPS.

The IDIAP Brain-Computer Interface: An Asynchronous Multiclass Approach

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Toward noninvasive brain-computer interfaces

Klaus-Robert Müller, Benjamin Blankertz, K. Müller, 2006, IEEE Signal Process. Mag..

A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity

Klaus-Robert Müller, Benjamin Blankertz, Carmen Vidaurre, 2019, PloS one.

Hidden Markov gating for prediction of change points in switching dynamical systems

Klaus-Robert Müller, Steven Lemm, Klaus Pawelzik, 1999, ESANN.

Algebraic Geometric Comparison of Probability Distributions

Franz J. Király, Klaus-Robert Müller, Frank C. Meinecke, 2012, J. Mach. Learn. Res..

Layer-Wise Relevance Propagation for Deep Neural Network Architectures

Alexander Binder, Klaus-Robert Müller, Wojciech Samek, 2016 .

A new scatter-based multi-class support vector machine

Robert Jenssen, Klaus-Robert Müller, Alexander Zien, 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing.

Using Rest Class and Control Paradigms for Brain Computer Interfacing

Klaus-Robert Müller, Benjamin Blankertz, Siamac Fazli, 2009, IWANN.

Shifting stimuli for brain computer interface based on rapid serial visual presentation

Klaus-Robert Müller, Seong-Whan Lee, Han-Jeong Hwang, 2017, 2017 5th International Winter Conference on Brain-Computer Interface (BCI).

Entropy-Constrained Training of Deep Neural Networks

Klaus-Robert Müller, Wojciech Samek, Simon Wiedemann, 2018, 2019 International Joint Conference on Neural Networks (IJCNN).

Obtaining the Best Linear Unbiased Estimator of Noisy Signals by Non-Gaussian Component Analysis

Motoaki Kawanabe, Klaus-Robert Müller, Masashi Sugiyama, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Sparse Causal Discovery in Multivariate Time Series

Stefan Haufe, Klaus-Robert Müller, Nicole Krämer, 2008, NIPS Causality: Objectives and Assessment.

Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach

Klaus-Robert Müller, Benjamin Blankertz, Michael Tangermann, 2006, NIPS.

Assessment and Validation of Machine Learning Methods for Predicting Molecular Atomization Energies.

Klaus-Robert Müller, Siamac Fazli, Grégoire Montavon, 2013, Journal of chemical theory and computation.

Toward a Direct Measure of Video Quality Perception Using EEG

Sebastian Bosse, Klaus-Robert Müller, Thomas Wiegand, 2012, IEEE Transactions on Image Processing.

A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation

Andreas Ziehe, Klaus-Robert Müller, Guido Nolte, 2004, J. Mach. Learn. Res..

Kernel PCA and De-Noising in Feature Spaces

Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, 1998, NIPS.

Layer-wise analysis of deep networks with Gaussian kernels

Klaus-Robert Müller, Grégoire Montavon, Mikio L. Braun, 2010, NIPS.

Blind Source Separation Techniques for Decomposing Event-Related Brain Signals

Andreas Ziehe, Klaus-Robert Müller, Ricardo Vigário, 2004, Int. J. Bifurc. Chaos.

Real-time robustness evaluation of regression based myoelectric control against arm position change and donning/doffing

Klaus-Robert Müller, Han-Jeong Hwang, Janne Mathias Hahne, 2017, PloS one.

Proceedings of the 28th conference on Pattern Recognition

Klaus-Robert Müller, Katrin Franke, Bertram Nickolay, 2006 .

Open Access Dataset for EEG+NIRS Single-Trial Classification

Klaus-Robert Müller, Jichai Jeong, Benjamin Blankertz, 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Evaluating Recurrent Neural Network Explanations pdf

Klaus-Robert Müller, Wojciech Samek, Leila Arras, 2019, BlackboxNLP@ACL.

The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces

Klaus-Robert Müller, Masashi Sugiyama, K. Müller, 2003, J. Mach. Learn. Res..

Ensembles of adaptive spatial filters increase BCI performance: an online evaluation

Klaus-Robert Müller, Benjamin Blankertz, Carmen Vidaurre, 2016, Journal of neural engineering.

Efficient and Accurate Lp-Norm Multiple Kernel Learning

Klaus-Robert Müller, Alexander Zien, Sören Sonnenburg, 2009, NIPS.

Explaining Recurrent Neural Network Predictions in Sentiment Analysis

Klaus-Robert Müller, Wojciech Samek, Leila Arras, 2017, WASSA@EMNLP.

Interpretable human action recognition in compressed domain

Klaus-Robert Müller, Wojciech Samek, Cornelius Hellge, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Special Issue on Advances in Kernel-Based Learning for Signal Processing [From the Guest Editors]

Sergios Theodoridis, Klaus-Robert Müller, Kenji Fukumizu, 2013, IEEE Signal Process. Mag..

Classification of structured validation data using stateless and stateful features

Klaus-Robert Müller, Ralf Pabst, Guido Schwenk, 2019, Comput. Commun..

How to iNNvestigate neural networks' predictions!

Klaus-Robert Müller, Wojciech Samek, Sebastian Lapuschkin, 2018 .

Explainable artificial intelligence

Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek, 2017 .

Learning invariances with Stationary Subspace Analysis

Motoaki Kawanabe, Klaus-Robert Müller, Frank C. Meinecke, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Machine Learning and Applications for Brain-Computer Interfacing

Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz, 2007, HCI.

Pitfalls in EEG-Based Brain Effective Connectivity Analysis

Stefan Haufe, Klaus-Robert Müller, Guido Nolte, 2011, MLINI.

Speeding Learning

Klaus-Robert Müller, K. Müller, 2012, Neural Networks: Tricks of the Trade.

Optimizing spatio-temporal filters for improving Brain-Computer Interfacing

Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz, 2005, NIPS.

Revealing the neural response to imperceptible peripheral flicker with machine learning

Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Nonlinear Component Analysis as a Kernel Eigenvalue Problem

Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller, 1998, Neural Computation.

Wasserstein Stationary Subspace Analysis

Shinichi Nakajima, Klaus-Robert Müller, Wojciech Samek, 2018, IEEE Journal of Selected Topics in Signal Processing.

New Methods for Splice Site Recognition

Gunnar Rätsch, Klaus-Robert Müller, Sören Sonnenburg, 2002, ICANN.

Playing Pinball with non-invasive BCI

Klaus-Robert Müller, Benjamin Blankertz, Michael Tangermann, 2008, NIPS.

An Algebraic Method for Approximate Rank One Factorization of Rank Deficient Matrices

Franz J. Király, Andreas Ziehe, Klaus-Robert Müller, 2012, LVA/ICA.

Identifying interactions in mixed and noisy complex systems.

Andreas Ziehe, Klaus-Robert Müller, Guido Nolte, 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

BCI2000: A General-Purpose Software Platform for BCI

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Multifrequency Analysis of Brain-Computer Interfaces

Klaus-Robert Müller, Heung-Il Suk, Siamac Fazli, 2015 .

How are the Centered Kernel Principal Components Relevant to Regression Task? -An Exact Analysis

Klaus-Robert Müller, Masahiro Yukawa, Yuto Ogino, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Estimating vector fields using sparse basis field expansions

Andreas Ziehe, Stefan Haufe, Klaus-Robert Müller, 2008, NIPS.

Quantum-chemical insights from interpretable atomistic neural networks

Klaus-Robert Müller, Michael Gastegger, Alexandre Tkatchenko, 2018, Explainable AI.

Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guarantees

Klaus-Robert Müller, Michael Tangermann, Konstantin Schmid, 2017, PloS one.

The LRP Toolbox for Artificial Neural Networks

Alexander Binder, Klaus-Robert Müller, Wojciech Samek, 2016, J. Mach. Learn. Res..

Robust ICA for Super-Gaussian Sources

Klaus-Robert Müller, Stefan Harmeling, Frank C. Meinecke, 2004, ICA.

Approximate Joint Diagonalization Using a Natural Gradient Approach

Arie Yeredor, Andreas Ziehe, Klaus-Robert Müller, 2004, ICA.

StructRank: A New Approach for Ligand-Based Virtual Screening

Klaus-Robert Müller, Ulf Brefeld, Fabian Rathke, 2011, J. Chem. Inf. Model..

Adaptive Methods in BCI Research - An Introductory Tutorial

Klaus-Robert Müller, Carmen Vidaurre, Alois Schlögl, 2009 .

Stopping conditions for exact computation of leave-one-out error in support vector machines

Klaus-Robert Müller, Pavel Laskov, Vojtech Franc, 2008, ICML '08.

Robust common spatial filters with a maxmin approach

Motoaki Kawanabe, Klaus-Robert Müller, Carmen Vidaurre, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Towards adaptive classification for BCI

Rajesh P. N. Rao, Klaus-Robert Müller, Benjamin Blankertz, 2006, Journal of neural engineering.

Interpretable deep neural networks for single-trial EEG classification

Klaus-Robert Müller, Wojciech Samek, Sebastian Bach, 2016, Journal of Neuroscience Methods.

Spatial Filtering for Robust Myoelectric Control

Klaus-Robert Müller, Bernhard Graimann, Janne Mathias Hahne, 2012, IEEE Transactions on Biomedical Engineering.

The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology

Stefan Haufe, Klaus-Robert Müller, Gabriel Curio, 2010, Front. Neurosci..

Analysis of Wake/Sleep EEG with Competing Experts

Klaus-Robert Müller, Klaus Pawelzik, Jens Kohlmorgen, 1997, ICANN.

A regularized discriminative framework for EEG analysis with application to brain–computer interface

Klaus-Robert Müller, Ryota Tomioka, K. Müller, 2010, NeuroImage.

Interpretable LSTMs For Whole-Brain Neuroimaging Analyses pdf

Klaus-Robert Müller, Wojciech Samek, Hauke R. Heekeren, 2018, ArXiv.

Generalizing Analytic Shrinkage for Arbitrary Covariance Structures

Klaus-Robert Müller, Daniel Bartz, 2013, NIPS.

Using Reduce for Replica Calculations

Paul Lukowicz, Klaus-Robert Müller, Werner M. Seiler, 1993 .

Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling

Klaus-Robert Müller, Byung-Do Kim, Seong-Whan Lee, 2018, IJCAI.

Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment

Stephanie Brandl, Klaus-Robert Müller, Wojciech Samek, 2015, 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER).

Clustering with the Fisher Score

Motoaki Kawanabe, Klaus-Robert Müller, Koji Tsuda, 2002, NIPS.

Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics

Klaus-Robert Müller, Klaus Pawelzik, Jens Kohlmorgen, 1996, Neural Computation.

Integration of Multivariate Data Streams With Bandpower Signals

Klaus-Robert Müller, Siamac Fazli, Felix Bießmann, 2013, IEEE Transactions on Multimedia.

Barrier Boosting

Gunnar Rätsch, Klaus-Robert Müller, Sebastian Mika, 2000, COLT.

Open access repository for hybrid EEG-NIRS data

Klaus-Robert Müller, Jichai Jeong, Benjamin Blankertz, 2018, 2018 6th International Conference on Brain-Computer Interface (BCI).

SchNet: A continuous-filter convolutional neural network for modeling quantum interactions

Klaus-Robert Müller, Alexandre Tkatchenko, Pieter-Jan Kindermans, 2017, NIPS.

Going Metric: Denoising Pairwise Data

Joachim M. Buhmann, Volker Roth, Klaus-Robert Müller, 2002, NIPS.

Channel selection for simultaneous and proportional myoelectric prosthesis control of multiple degrees-of-freedom

Klaus-Robert Müller, Han-Jeong Hwang, Janne Mathias Hahne, 2014, Journal of neural engineering.

Robust Common Spatial Filters with a Maxmin Approach

Motoaki Kawanabe, Klaus-Robert Müller, Wojciech Samek, 2014, Neural Computation.

Machine-Learning Based Co-adaptive Calibration: A Perspective to Fight BCI Illiteracy

Klaus-Robert Müller, Benjamin Blankertz, Carmen Vidaurre, 2010, HAIS.

On robust parameter estimation in brain–computer interfacing

Motoaki Kawanabe, Shinichi Nakajima, Klaus-Robert Müller, 2017, Journal of neural engineering.

Brain Interface Design for Asynchronous Control

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Kernel Feature Spaces and Nonlinear Blind Souce Separation

Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, 2001, NIPS.

Transferring Unsupervised Adaptive Classifiers Between Users of a Spatial Auditory Brain-Computer Interface

Klaus-Robert Müller, Benjamin Schrauwen, Benjamin Blankertz, 2014 .

Berlin Brain-Computer Interface - The HCI communication channel for discovery

Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz, 2007, Int. J. Hum. Comput. Stud..

A lower limb exoskeleton control system based on steady state visual evoked potentials

Klaus-Robert Müller, Seong-Whan Lee, No-Sang Kwak, 2015, Journal of neural engineering.

Subject independent EEG-based BCI decoding

Klaus-Robert Müller, Benjamin Blankertz, Siamac Fazli, 2009, NIPS.

Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder pdf

Shinichi Nakajima, Klaus-Robert Müller, Wojciech Samek, 2018, ArXiv.

Regularizing AdaBoost

Gunnar Rätsch, Klaus-Robert Müller, Takashi Onoda, 1998, NIPS.

Das Berliner Brain-Computer Interface

Klaus-Robert Müller, K. Müller, 2006, Künstliche Intell..

Brain-Computer Interfaces for Communication and Motor Control—Perspectives on Clinical Applications

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Independent component analysis of noninvasively recorded cortical magnetic DC-fields in humans

Andreas Ziehe, Klaus-Robert Müller, Gabriel Curio, 2000, IEEE Transactions on Biomedical Engineering.

Brain-Computer Interfaces and Visual Activity

José del R. Millán, Klaus-Robert Müller, Michael Tangermann, 2011 .

Neurophysiological assessment of perceived image quality using steady-state visual evoked potentials

Sebastian Bosse, Klaus-Robert Müller, Gabriel Curio, 2015, SPIE Optical Engineering + Applications.

Multiple Kernel Learning for Brain-Computer Interfacing

Alexander Binder, Klaus-Robert Müller, Wojciech Samek, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization

Klaus-Robert Müller, Steven Lemm, Gabriel Curio, 2009, PLoS Comput. Biol..

Learning with Algebraic Invariances, and the Invariant Kernel Trick pdf

Franz J. Király, Andreas Ziehe, Klaus-Robert Müller, 2014, ArXiv.

Machine learning models for lipophilicity and their domain of applicability.

Klaus-Robert Müller, Sebastian Mika, Anton Schwaighofer, 2007, Molecular pharmaceutics.

Predicting Time Series with Support Vector Machines

Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, 1997, ICANN.

Identifying Dynamical Systems for Forecasting and Control

Klaus-Robert Müller, Grégoire Montavon, 2012, Neural Networks: Tricks of the Trade.

Modeling of molecular atomization energies using machine learning

Klaus-Robert Müller, Matthias Rupp, Alexandre Tkatchenko, 2012, Journal of Cheminformatics.

Covariate shift adaptation in EMG pattern recognition for prosthetic device control

Dario Farina, Klaus-Robert Müller, Bernhard Graimann, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Securing IMS against novel threats

Klaus-Robert Müller, Konrad Rieck, Stefan Wahl, 2009, Bell Labs Technical Journal.

Evaluation Criteria for BCI Research

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

"What is relevant in a text document?": An interpretable machine learning approach

Klaus-Robert Müller, Wojciech Samek, Franziska Horn, 2016, PloS one.

Descriptor : Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset

Klaus-Robert Müller, Jaeyoung Shin, Han-Jeong Hwang, 2018 .

Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach

Klaus-Robert Müller, Sebastian Mika, Anton Schwaighofer, 2007, J. Chem. Inf. Model..

Explaining the unique nature of individual gait patterns with deep learning

Klaus-Robert Müller, Wojciech Samek, Sebastian Lapuschkin, 2018, Scientific Reports.

A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks

Klaus Schulten, Klaus-Robert Müller, Shun-ichi Amari, 1996, Neural Computation.

Detecting resting-state networks using scalable multi-subject spatial canonical correlation analysis

Daniel S. Margulies, Julia M. Huntenburg, Janis Reinelt, 2016 .

Minimizing Trust Leaks for Robust Sybil Detection

Shinichi Nakajima, Klaus-Robert Müller, Nico Görnitz, 2017, ICML.

Robust Spatial Filtering with Beta Divergence

Motoaki Kawanabe, Klaus-Robert Müller, Wojciech Samek, 2013, NIPS.

Understanding Machine-learned Density Functionals pdf

Li Li, Klaus-Robert Müller, John C. Snyder, 2014, ArXiv.

On-line learning in switching and drifting environments with application to blind source separation

Andreas Ziehe, Klaus-Robert Müller, Shun-ichi Amari, 1999 .

Modeling Molecular Spectra with Interpretable Atomistic Neural Networks

Klaus-Robert Müller, Michael Gastegger, Alexandre Tkatchenko, 2019 .

Optimizing Spectral Filters for Single Trial EEG Classification

Kazuyuki Aihara, Klaus-Robert Müller, Guido Nolte, 2006, DAGM-Symposium.

Comparison of Granger Causality and Phase Slope Index

Andreas Ziehe, Klaus-Robert Müller, Nicole Krämer, 2008, NIPS Causality: Objectives and Assessment.

A critical assessment of connectivity measures for EEG data: A simulation study

Stefan Haufe, Klaus-Robert Müller, Guido Nolte, 2013, NeuroImage.

Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions

Klaus-Robert Müller, Felix Bießmann, Yusuke Murayama, 2012, NeuroImage.

Neural Networks: Tricks of the Trade, this book is an outgrowth of a 1996 NIPS workshop

Klaus-Robert Müller, Genevieve Orr, G. Orr, 1998, NIPS 1998.

Classifying Single Trial EEG: Towards Brain Computer Interfacing

Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz, 2001, NIPS.

Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification

Gunnar Rätsch, Bernhard Schölkopf, Klaus-Robert Müller, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Analysis of Drifting Dynamics with Competing Predictors

Klaus-Robert Müller, Klaus Pawelzik, Jens Kohlmorgen, 1996, ICANN.

Layer-Wise Relevance Propagation: An Overview

Klaus-Robert Müller, Wojciech Samek, Sebastian Lapuschkin, 2019, Explainable AI.

Regularizing generalization error estimators: a novel approach to robust model selection

Motoaki Kawanabe, Klaus-Robert Müller, Masashi Sugiyama, 2004, ESANN.

Denoising and Dimension Reduction in Feature Space

Joachim M. Buhmann, Klaus-Robert Müller, Mikio L. Braun, 2006, NIPS.

What is Unique in Individual Gait Patterns? Understanding and Interpreting Deep Learning in Gait Analysis pdf

Klaus-Robert Müller, Wojciech Samek, Sebastian Lapuschkin, 2018, ArXiv.

Inducing Metric Violations in Human Similarity Judgements

Klaus-Robert Müller, Felix A. Wichmann, Jakob H. Macke, 2006, NIPS.

Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

Sebastian Bosse, Dominique Maniry, Klaus-Robert Müller, 2016, IEEE Transactions on Image Processing.

Optimizing transition states via kernel-based machine learning.

Klaus-Robert Müller, Matthias Rupp, Graeme Henkelman, 2012, The Journal of chemical physics.

Decoding of top-down cognitive processing for SSVEP-controlled BMI

Klaus-Robert Müller, Sven Dähne, Byoung-Kyong Min, 2016, Scientific Reports.

Finding brain oscillations with power dependencies in neuroimaging data

Stefan Haufe, Klaus-Robert Müller, Vadim V. Nikulin, 2014, NeuroImage.

PatternNet and PatternLRP - Improving the interpretability of neural networks pdf

Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans, 2017, ArXiv.

Approximate Tree Kernels

Klaus-Robert Müller, Ulf Brefeld, Konrad Rieck, 2010, J. Mach. Learn. Res..

PREDICTION OF FINANCIAL DATA WITH HIDDEN MARKOV MIXTURES OF EXPERTS

Klaus-Robert Müller, Steven Lemm, Klaus Pawelzik, 2000 .

Prediction of Mixtures

Klaus-Robert Müller, Klaus Pawelzik, Jens Kohlmorgen, 1996, ICANN.

Common Spatial Pattern Patches: Online evaluation on BCI-naive users

Klaus-Robert Müller, Benjamin Blankertz, Carmen Vidaurre, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Bypassing the Kohn-Sham equations with machine learning

Li Li, Klaus-Robert Müller, Kieron Burke, 2016, Nature Communications.

True Zero-Training Brain-Computer Interfacing – An Online Study

Klaus-Robert Müller, Benjamin Schrauwen, Michael Tangermann, 2014, PloS one.

Kernel Principal Component Analysis

Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller, 1997, ICANN.

On Optimal Channel Configurations for SMR-based Brain–Computer Interfaces

Klaus-Robert Müller, Benjamin Blankertz, Thorsten Dickhaus, 2010, Brain Topography.

Recent Progress in Brain and Cognitive Engineering

Klaus-Robert Müller, Heinrich H. Bülthoff, Seong-Whan Lee, 2015, Trends in Augmentation of Human Performance.

Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework

Stefan Haufe, Klaus-Robert Müller, Gitta Kutyniok, 2021, NeuroImage.

Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization pdf

Klaus-Robert Müller, Takafumi Kanamori, Grégoire Montavon, 2021, ArXiv.

BIGDML—Towards accurate quantum machine learning force fields for materials pdf

Klaus-Robert Müller, Alexandre Tkatchenko, Stefan Chmiela, 2021, Nature Communications.

Scrutinizing XAI using linear ground-truth data with suppressor variables pdf

Stefan Haufe, Klaus-Robert Müller, Rick Wilming, 2021, Machine Learning.

Morphological and molecular breast cancer profiling through explainable machine learning

Masaru Ishii, Klaus-Robert Müller, Daniel Heim, 2021, Nature Machine Intelligence.

Machine Learning Force Fields

Klaus-Robert Müller, Michael Gastegger, Alexandre Tkatchenko, 2020, Chemical reviews.

Evaluating deep transfer learning for whole-brain cognitive decoding pdf

Klaus-Robert Müller, Wojciech Samek, Ulman Lindenberger, 2021, J. Frankl. Inst..

Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning pdf

Klaus-Robert Müller, Wojciech Samek, Sebastian Lapuschkin, 2019, Pattern Recognit..

Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy pdf

Klaus-Robert Müller, Wojciech Samek, Sebastian Lapuschkin, 2021, ArXiv.

Statistics meets Machine Learning

Klaus-Robert Müller, Lutz Dümbgen, Fadoua Balabdaoui, 2021 .

Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications

Klaus-Robert Müller, Wojciech Samek, Sebastian Lapuschkin, 2021, Proceedings of the IEEE.

SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects

Klaus-Robert Müller, Michael Gastegger, Oliver T. Unke, 2021, Nature Communications.

EEG-based classification of video quality perception using steady state visual evoked potentials (SSVEPs)

Sebastian Bosse, Klaus-Robert Müller, Thomas Wiegand, 2015, Journal of neural engineering.

Machine learning analysis of DNA methylation profiles distinguishes primary lung squamous cell carcinomas from head and neck metastases

Klaus-Robert Müller, Grégoire Montavon, Michael Bockmayr, 2019, Science Translational Medicine.

The Influence of Preceding Movements on Motor Cortical Activity in Finger-Tapping

Klaus-Robert Müller, Gabriel Curio, Benjamin Blankertz, 2004 .

Meta Learning : Learning to Predict the Leave – one – out Error

Gunnar Rätsch, Klaus-Robert Müller, Sebastian Mika, 2007 .

Kernel Principal Component Analysis

Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller, 1997, International Conference on Artificial Neural Networks.

A consistency-based model selection for one-class classification

Klaus-Robert Müller, David M. J. Tax, 2004, ICPR 2004.

Relationship between neural and hemodynamic signals during spontaneous activity studied with temporal kernel CCA.

Klaus-Robert Müller, Yusuke Murayama, Axel Oeltermann, 2010, Magnetic resonance imaging.

Estimating Noise and Dimensionality in BCI Data Sets : Towards Illiteracy Comprehension

Klaus-Robert Müller, Michael Tangermann, Claudia Sannelli, 2008 .

A fast algorithm for joint diagonalization with application to blind source separation – BLISS Technical Report ∗ –

Andreas Ziehe, Klaus-Robert Müller, Guido Nolte, 2003 .

Many-Body Descriptors for Predicting Molecular Properties with Machine Learning: Analysis of Pairwise and Three-Body Interactions in Molecules.

Klaus-Robert Müller, Alexandre Tkatchenko, Wiktor Pronobis, 2018, Journal of chemical theory and computation.

Asymptotically unbiased estimation of physical observables with neural samplers.

Shinichi Nakajima, Klaus-Robert Müller, Wojciech Samek, 2020, Physical review. E.

SVM2Motif—Reconstructing Overlapping DNA Sequence Motifs by Mimicking an SVM Predictor

Gunnar Rätsch, Klaus-Robert Müller, Marius Kloft, 2015, PloS one.

Computational analysis reveals histotype-dependent molecular profile and actionable mutation effects across cancers

Klaus-Robert Müller, Grégoire Montavon, Daniel Heim, 2018, Genome Medicine.

On the Interpretability of Linear Multivariate Neuroimaging Analyses : Filters , Patterns and their Relationship

Stefan Haufe, Klaus-Robert Müller, Benjamin Blankertz, 2012 .

From Machine Learning to Natural Product Derivatives that Selectively Activate Transcription Factor PPARγ

Klaus-Robert Müller, Gisbert Schneider, Matthias Rupp, 2010, ChemMedChem.

Molecular force fields with gradient-domain machine learning: Construction and application to dynamics of small molecules with coupled cluster forces.

Klaus-Robert Müller, Alexandre Tkatchenko, Igor Poltavsky, 2019, The Journal of chemical physics.

A new algorithm of non-Gaussian component analysis with radial kernel functions

Motoaki Kawanabe, Klaus-Robert Müller, Masashi Sugiyama, 2007 .

Explorative data analysis for changes in neural activity

Klaus-Robert Müller, Duncan A. J. Blythe, Frank C Meinecke, 2013, Journal of neural engineering.

Analyzing and Validating Neural Networks Predictions

Alexander Binder, Klaus-Robert Müller, Wojciech Samek, 2016 .

Full-Reference Image Quality Assessment Using Neural Networks

Sebastian Bosse, Dominique Maniry, Klaus-Robert Müller, 2016 .

Objective quality assessment of stereoscopic images with vertical disparity using EEG

Sebastian Bosse, Klaus-Robert Müller, Thomas Wiegand, 2017, Journal of neural engineering.

The need for novel informatics tools for integrating and planning research in molecular and cellular cognition

Klaus-Robert Müller, Alcino J. Silva, Alcino J Silva, 2015, Learning & memory.

Spatio-temporal dynamics of multimodal EEG-fNIRS signals in the loss and recovery of consciousness under sedation using midazolam and propofol

Seong-Whan Lee, Klaus-Robert Müller, Seul-Ki Yeom, 2017, PloS one.

Invasive BCI Approaches

José del R. Millán, Klaus-Robert Müller, Thilo Hinterberger, 2007 .

Interaction Potentials in Molecules and Non-Local Information in Chemical Space

Klaus-Robert Müller, Alexandre Tkatchenko, Franziska Biegler, 2014 .

Machine-Learning Based Co-adaptive Calibration : Towards a Cure for BCI illiteracy

Klaus-Robert Müller, Benjamin Blankertz, Carmen Vidaurre, 2010 .