Müller, Klaus-Robert

109 publications

TMLR 2025 Explaining Bayesian Neural Networks Kirill Bykov, Marina MC Höhne, Adelaida Creosteanu, Klaus Robert Muller, Frederick Klauschen, Shinichi Nakajima, Marius Kloft

TMLR 2025 Getting Aligned on Representational Alignment Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J Cueva, Erin Grant, Iris Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine Hermann, Kerem Oktar, Klaus Greff, Martin N Hebart, Nathan Cloos, Nikolaus Kriegeskorte, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus Robert Muller, Mariya Toneva, Thomas L. Griffiths

NeurIPS 2025 Manipulating Feature Visualizations with Gradient Slingshots Dilyara Bareeva, Marina MC Höhne, Alexander Warnecke, Lukas Pirch, Klaus Robert Muller, Konrad Rieck, Sebastian Lapuschkin, Kirill Bykov

NeurIPS 2025 Sampling 3D Molecular Conformers with Diffusion Transformers Thorben Frank, Winfried Ripken, Gregor Lied, Klaus Robert Muller, Oliver T. Unke, Stefan Chmiela

NeurIPS 2025 Smoothed Differentiation Efficiently Mitigates Shattered Gradients in Explanations Adrian Hill, Neal McKee, Johannes Maeß, Stefan Bluecher, Klaus Robert Muller

NeurIPS 2024 MambaLRP: Explaining Selective State Space Sequence Models Farnoush Rezaei Jafari, Grégoire Montavon, Klaus-Robert Müller, Oliver Eberle

ICMLW 2024 Manipulating Feature Visualizations with Gradient Slingshots Dilyara Bareeva, Marina MC Höhne, Alexander Warnecke, Lukas Pirch, Klaus Robert Muller, Konrad Rieck, Kirill Bykov

ICLR 2024 Set Learning for Accurate and Calibrated Models Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus Robert Muller

NeurIPS 2024 xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology Julius Hense, Mina Jamshidi Idaji, Oliver Eberle, Thomas Schnake, Jonas Dippel, Laure Ciernik, Oliver Buchstab, Andreas Mock, Frederick Klauschen, Klaus-Robert Müller

TMLR 2023 DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov, Mayukh Deb, Dennis Grinwald, Klaus Robert Muller, Marina MC Höhne

ICLRW 2023 DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov, Mayukh Deb, Dennis Grinwald, Klaus Robert Muller, Marina MC Höhne

TMLR 2023 Local Function Complexity for Active Learning via Mixture of Gaussian Processes Danny Panknin, Stefan Chmiela, Klaus Robert Muller, Shinichi Nakajima

ICLRW 2023 Mark My Words: Dangers of Watermarked Images in ImageNet Kirill Bykov, Klaus Robert Muller, Marina MC Höhne

NeurIPS 2023 Physics-Informed Bayesian Optimization of Variational Quantum Circuits Kim Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Klaus-Robert Müller, Paolo Stornati, Pan Kessel, Shinichi Nakajima

ICML 2023 Relevant Walk Search for Explaining Graph Neural Networks Ping Xiong, Thomas Schnake, Michael Gastegger, Grégoire Montavon, Klaus Robert Muller, Shinichi Nakajima

CVPR 2023 Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek

ICML 2022 Efficient Computation of Higher-Order Subgraph Attribution via Message Passing Ping Xiong, Thomas Schnake, Grégoire Montavon, Klaus-Robert Müller, Shinichi Nakajima

TMLR 2022 Exposing Outlier Exposure: What Can Be Learned from Few, One, and Zero Outlier Images Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus Robert Muller, Marius Kloft

MLJ 2022 Scrutinizing XAI Using Linear Ground-Truth Data with Suppressor Variables Rick Wilming, Céline Budding, Klaus-Robert Müller, Stefan Haufe

NeurIPS 2022 So3krates: Equivariant Attention for Interactions on Arbitrary Length-Scales in Molecular Systems Thorben Frank, Oliver Unke, Klaus-Robert Müller

ICML 2022 XAI for Transformers: Better Explanations Through Conservative Propagation Ameen Ali, Thomas Schnake, Oliver Eberle, Grégoire Montavon, Klaus-Robert Müller, Lior Wolf

NeurIPS 2021 Efficient Hierarchical Bayesian Inference for Spatio-Temporal Regression Models in Neuroimaging Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe

ICLR 2021 Explainable Deep One-Class Classification Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus Robert Muller

NeurIPS 2021 SE(3)-Equivariant Prediction of Molecular Wavefunctions and Electronic Densities Oliver Unke, Mihail Bogojeski, Michael Gastegger, Mario Geiger, Tess Smidt, Klaus-Robert Müller

AAAI 2020 Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima

ICLR 2020 Deep Semi-Supervised Anomaly Detection Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft

ICML 2020 Fairwashing Explanations with Off-Manifold Detergent Christopher Anders, Plamen Pasliev, Ann-Kathrin Dombrowski, Klaus-Robert Müller, Pan Kessel

NeurIPS 2019 Explanations Can Be Manipulated and Geometry Is to Blame Ann-Kathrin Dombrowski, Maximillian Alber, Christopher Anders, Marcel Ackermann, Klaus-Robert Müller, Pan Kessel

MLJ 2019 N-Ary Decomposition for Multi-Class Classification Joey Tianyi Zhou, Ivor W. Tsang, Shen-Shyang Ho, Klaus-Robert Müller

AISTATS 2019 Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs Alexander Bauer, Shinichi Nakajima, Nico Goernitz, Klaus-Robert Müller

MLOSS 2019 iNNvestigate Neural Networks! Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele, Kristof T. Schütt, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans

IJCAI 2018 Curly: An AI-Based Curling Robot Successfully Competing in the Olympic Discipline of Curling Dong-Ok Won, Byung-Do Kim, Ho-Jung Kim, Tae-San Eom, Klaus-Robert Müller, Seong-Whan Lee

ICLR 2018 Learning How to Explain Neural Networks: PatternNet and PatternAttribution Pieter-Jan Kindermans, Kristof T. Schütt, Maximilian Alber, Klaus-Robert Müller, Dumitru Erhan, Been Kim, Sven Dähne

JMLR 2017 An Easy-to-Hard Learning Paradigm for Multiple Classes and Multiple Labels Weiwei Liu, Ivor W. Tsang, Klaus-Robert Müller

NeurIPS 2017 An Empirical Study on the Properties of Random Bases for Kernel Methods Maximilian Alber, Pieter-Jan Kindermans, Kristof Schütt, Klaus-Robert Müller, Fei Sha

ICML 2017 Minimizing Trust Leaks for Robust Sybil Detection János Höner, Shinichi Nakajima, Alexander Bauer, Klaus-Robert Müller, Nico Görnitz

NeurIPS 2017 SchNet: A Continuous-Filter Convolutional Neural Network for Modeling Quantum Interactions Kristof Schütt, Pieter-Jan Kindermans, Huziel Enoc Sauceda Felix, Stefan Chmiela, Alexandre Tkatchenko, Klaus-Robert Müller

ICCVW 2017 Understanding and Comparing Deep Neural Networks for Age and Gender Classification Wojciech Samek, Alexander Binder, Sebastian Lapuschkin, Klaus-Robert Müller

CVPR 2016 Analyzing Classifiers: Fisher Vectors and Deep Neural Networks Sebastian Lapuschkin, Alexander Binder, Gregoire Montavon, Klaus-Robert Muller, Wojciech Samek

JMLR 2016 The LRP Toolbox for Artificial Neural Networks Sebastian Lapuschkin, Alexander Binder, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek

NeurIPS 2016 Wasserstein Training of Restricted Boltzmann Machines Grégoire Montavon, Klaus-Robert Müller, Marco Cuturi

ECML-PKDD 2015 Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithms Marina M.-C. Vidovic, Nico Görnitz, Klaus-Robert Müller, Gunnar Rätsch, Marius Kloft

NeurIPS 2014 Covariance Shrinkage for Autocorrelated Data Daniel Bartz, Klaus-Robert Müller

AISTATS 2014 Learning and Evaluation in Presence of Non-I.i.d. Label Noise Nico Görnitz, Anne Porbadnigk, Alexander Binder, Claudia Sannelli, Mikio L. Braun, Klaus-Robert Müller, Marius Kloft

NeurIPS 2013 Generalizing Analytic Shrinkage for Arbitrary Covariance Structures Daniel Bartz, Klaus-Robert Müller

NeurIPS 2013 Robust Spatial Filtering with Beta Divergence Wojciech Samek, Duncan Blythe, Klaus-Robert Müller, Motoaki Kawanabe

JMLR 2012 Algebraic Geometric Comparison of Probability Distributions Franz J. Király, Paul von Bünau, Frank C. Meinecke, Duncan A.J. Blythe, Klaus-Robert Müller

AISTATS 2012 Deep Boltzmann Machines as Feed-Forward Hierarchies Gregoire Montavon, Mikio Braun, Klaus-Robert Muller

NeurIPS 2012 Learning Invariant Representations of Molecules for Atomization Energy Prediction Grégoire Montavon, Katja Hansen, Siamac Fazli, Matthias Rupp, Franziska Biegler, Andreas Ziehe, Alexandre Tkatchenko, Anatole V. Lilienfeld, Klaus-Robert Müller

AISTATS 2012 Regression for Sets of Polynomial Equations Franz Kiraly, Paul Von Buenau, Jan Muller, Duncan Blythe, Frank Meinecke, Klaus-Robert Muller

JMLR 2011 Kernel Analysis of Deep Networks Grégoire Montavon, Mikio L. Braun, Klaus-Robert Müller

MLOSS 2011 The Stationary Subspace Analysis Toolbox Jan Saputra Müller, Paul von Bünau, Frank C. Meinecke, Franz J. Király, Klaus-Robert Müller

JMLR 2010 Approximate Tree Kernels Konrad Rieck, Tammo Krueger, Ulf Brefeld, Klaus-Robert Müller

JMLR 2010 How to Explain Individual Classification Decisions David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller

NeurIPS 2010 Layer-Wise Analysis of Deep Networks with Gaussian Kernels Grégoire Montavon, Klaus-Robert Müller, Mikio L. Braun

MLJ 2010 Temporal Kernel CCA and Its Application in Multimodal Neuronal Data Analysis Felix Bießmann, Frank C. Meinecke, Arthur Gretton, Alexander Rauch, Gregor Rainer, Nikos K. Logothetis, Klaus-Robert Müller

NeurIPS 2009 Efficient and Accurate Lp-Norm Multiple Kernel Learning Marius Kloft, Ulf Brefeld, Pavel Laskov, Klaus-Robert Müller, Alexander Zien, Sören Sonnenburg

ICCVW 2009 Learning Invariances with Stationary Subspace Analysis Frank C. Meinecke, Paul von Bünau, Motoaki Kawanabe, Klaus-Robert Müller

NeurIPS 2009 Subject Independent EEG-Based BCI Decoding Siamac Fazli, Cristian Grozea, Marton Danoczy, Benjamin Blankertz, Florin Popescu, Klaus-Robert Müller

NeurIPS 2008 Estimating Vector Fields Using Sparse Basis Field Expansions Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Klaus-Robert Müller, Guido Nolte

JMLR 2008 On Relevant Dimensions in Kernel Feature Spaces Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller

NeurIPS 2008 Playing Pinball with Non-Invasive BCI Matthias Krauledat, Konrad Grzeska, Max Sagebaum, Benjamin Blankertz, Carmen Vidaurre, Klaus-Robert Müller, Michael Schröder

ICML 2008 Stopping Conditions for Exact Computation of Leave-One-Out Error in Support Vector Machines Vojtech Franc, Pavel Laskov, Klaus-Robert Müller

ICML 2007 Asymptotic Bayesian Generalization Error When Training and Test Distributions Are Different Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama, Klaus-Robert Müller

JMLR 2007 Covariate Shift Adaptation by Importance Weighted Cross Validation Masashi Sugiyama, Matthias Krauledat, Klaus-Robert Müller

NeurIPS 2007 Heterogeneous Component Analysis Shigeyuki Oba, Motoaki Kawanabe, Klaus-Robert Müller, Shin Ishii

NeurIPS 2007 Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka, Friederike Hohlefeld, Klaus-Robert Müller, Vadim V. Nikulin

MLJ 2007 Optimal Dyadic Decision Trees Gilles Blanchard, Christin Schäfer, Yves Rozenholc, Klaus-Robert Müller

JMLR 2007 The Need for Open Source Software in Machine Learning Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Leon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Alexander Smola, Pascal Vincent, Jason Weston, Robert Williamson

NeurIPS 2006 Denoising and Dimension Reduction in Feature Space Mikio L. Braun, Klaus-Robert Müller, Joachim M. Buhmann

JMLR 2006 In Search of Non-Gaussian Components of a High-Dimensional Distribution Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiyama, Vladimir Spokoiny, Klaus-Robert Müller

JMLR 2006 Incremental Support Vector Learning: Analysis, Implementation and Applications Pavel Laskov, Christian Gehl, Stefan Krüger, Klaus-Robert Müller

NeurIPS 2006 Inducing Metric Violations in Human Similarity Judgements Julian Laub, Klaus-Robert Müller, Felix A. Wichmann, Jakob H. Macke

NeurIPS 2006 Logistic Regression for Single Trial EEG Classification Ryota Tomioka, Kazuyuki Aihara, Klaus-Robert Müller

NeurIPS 2006 Reducing Calibration Time for Brain-Computer Interfaces: A Clustering Approach Matthias Krauledat, Michael Schröder, Benjamin Blankertz, Klaus-Robert Müller

NeurIPS 2005 Analyzing Coupled Brain Sources: Distinguishing True from Spurious Interaction Guido Nolte, Andreas Ziehe, Frank Meinecke, Klaus-Robert Müller

JMLR 2005 Estimating Functions for Blind Separation When Sources Have Variance Dependencies Motoaki Kawanabe, Klaus-Robert Müller

NeurIPS 2005 Non-Gaussian Component Analysis: A Semi-Parametric Framework for Linear Dimension Reduction Gilles Blanchard, Masashi Sugiyama, Motoaki Kawanabe, Vladimir Spokoiny, Klaus-Robert Müller

NeurIPS 2005 Optimizing Spatio-Temporal Filters for Improving Brain-Computer Interfacing Guido Dornhege, Benjamin Blankertz, Matthias Krauledat, Florian Losch, Gabriel Curio, Klaus-Robert Müller

JMLR 2004 A Fast Algorithm for Joint Diagonalization with Non-Orthogonal Transformations and Its Application to Blind Source Separation Andreas Ziehe, Pavel Laskov, Guido Nolte, Klaus-Robert Müller

NeCo 2004 Asymptotic Properties of the Fisher Kernel Koji Tsuda, Shotaro Akaho, Motoaki Kawanabe, Klaus-Robert Müller

JMLR 2004 Feature Discovery in Non-Metric Pairwise Data Julian Laub, Klaus-Robert Müller

NeCo 2004 Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller

JMLR 2003 Blind Separation of Post-Nonlinear Mixtures Using Linearizing Transformations and Temporal Decorrelation Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling, Klaus-Robert Müller

NeurIPS 2003 Increase Information Transfer Rates in BCI by CSP Extension to Multi-Class Guido Dornhege, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller

NeCo 2003 Kernel-Based Nonlinear Blind Source Separation Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller

NeCo 2002 A New Discriminative Kernel from Probabilistic Models Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller

NeurIPS 2002 Clustering with the Fisher Score Koji Tsuda, Motoaki Kawanabe, Klaus-Robert Müller

NeurIPS 2002 Combining Features for BCI Guido Dornhege, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller

NeurIPS 2002 Going Metric: Denoising Pairwise Data Volker Roth, Julian Laub, Klaus-Robert Müller, Joachim M. Buhmann

JMLR 2002 The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces (Kernel Machines Section) Masashi Sugiyama, Klaus-Robert Müller

NeurIPS 2001 A New Discriminative Kernel from Probabilistic Models Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller

NeurIPS 2001 Classifying Single Trial EEG: Towards Brain Computer Interfacing Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller

NeurIPS 2001 Estimating the Reliability of ICA Projections Frank C. Meinecke, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller

NeurIPS 2001 Kernel Feature Spaces and Nonlinear Blind Souce Separation Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller

MLJ 2001 Soft Margins for AdaBoost Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller

NeurIPS 2000 A Mathematical Programming Approach to the Kernel Fisher Algorithm Sebastian Mika, Gunnar Rätsch, Klaus-Robert Müller

COLT 2000 Barrier Boosting Gunnar Rätsch, Manfred K. Warmuth, Sebastian Mika, Takashi Onoda, Steven Lemm, Klaus-Robert Müller

NeurIPS 1999 Invariant Feature Extraction and Classification in Kernel Spaces Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller

NeurIPS 1999 Unmixing Hyperspectral Data Lucas C. Parra, Clay Spence, Paul Sajda, Andreas Ziehe, Klaus-Robert Müller

NeurIPS 1999 V-Arc: Ensemble Learning in the Presence of Outliers Gunnar Rätsch, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller, Takashi Onoda, Sebastian Mika

NeurIPS 1998 Kernel PCA and De-Noising in Feature Spaces Sebastian Mika, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller, Matthias Scholz, Gunnar Rätsch

NeCo 1998 Nonlinear Component Analysis as a Kernel Eigenvalue Problem Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller

NeurIPS 1997 Analysis of Drifting Dynamics with Neural Network Hidden Markov Models Jens Kohlmorgen, Klaus-Robert Müller, Klaus Pawelzik

NeCo 1996 A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks Klaus-Robert Müller, Michael Finke, Noboru Murata, Klaus Schulten, Shun-ichi Amari

NeurIPS 1996 Adaptive On-Line Learning in Changing Environments Noboru Murata, Klaus-Robert Müller, Andreas Ziehe, Shun-ichi Amari

NeCo 1996 Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics Klaus Pawelzik, Jens Kohlmorgen, Klaus-Robert Müller

NeurIPS 1995 Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective? Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Hua Yang