Klaus-Robert Müller

589 papers A* 22A 4B 12C 11Misc 3Journal 359Unranked 144

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Atlas 2 - Foundation models for clinical deployment. CoRR Maximilian Alber, Timo Milbich, Alexandra Carpen-Amarie, Stephan Tietz, Jonas Dippel, Lukas Muttenthaler, Beatriz Perez Cancer, Alessandro Benetti, Panos Korfiatis, Elias Eulig, Jérôme Lüscher, Jiasen Wu, Sayed Abid Hashimi, Gabriel Dernbach, Simon Schallenberg, Neelay Shah, Moritz Krügener, Aniruddh Jammoria, Jake Matras, Patrick Duffy, Matt Redlon, Philipp Jurmeister, David Horst, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen, Andrew P. Norgan
2026	J	`jnl`	Beyond Attention Heatmaps: How to Get Better Explanations for Multiple Instance Learning Models in Histopathology. CoRR Mina Jamshidi Idaji, Julius Hense, Tom Neuhäuser, Augustin Krause, Yanqing Luo, Oliver Eberle, Thomas Schnake, Laure Ciernik, Farnoush Rezaei Jafari, Reza Vahidimajd, Jonas Dippel, Christoph Walz, Frederick Klauschen, Andreas Mock, Klaus-Robert Müller
2026	J	`jnl`	Characterizing High-Capacity Janus Aminobenzene-Graphene Anode for Sodium-Ion Batteries with Machine Learning. CoRR Claudia Islas-Vargas, L. Ricardo Montoya, Carlos A. Vital-José, Oliver T. Unke, Klaus-Robert Müller, Huziel E. Sauceda
2026	J	`jnl`	Distilling Lightweight Domain Experts from Large ML Models by Identifying Relevant Subspaces. CoRR Pattarawat Chormai, Ali Hashemi, Klaus-Robert Müller, Grégoire Montavon
2026	J	`jnl`	Enhancing Brain Source Reconstruction by Initializing 3-D Neural Networks With Physical Inverse Solutions. IEEE Trans. Medical Imaging Marco Morik, Ali Hashemi, Klaus-Robert Müller, Stefan Haufe, Shinichi Nakajima
2026	J	`jnl`	Investigating the Robustness of Subtask Distillation under Spurious Correlation. CoRR Pattarawat Chormai, Klaus-Robert Müller, Grégoire Montavon
2026	J	`jnl`	Learning Hamiltonian Flow Maps: Mean Flow Consistency for Large-Timestep Molecular Dynamics. CoRR Winfried Ripken, Michael Plainer, Gregor Lied, J. Thorben Frank, Oliver T. Unke, Stefan Chmiela, Frank Noé, Klaus-Robert Müller
2026	J	`jnl`	Network Measure-Enriched GNNs: A New Framework for Power Grid Stability Prediction. IEEE Trans. Knowl. Data Eng. Junyou Zhu, Christian Nauck, Michael Lindner, Langzhou He, Philip S. Yu, Klaus-Robert Müller, Jürgen Kurths, Frank Hellmann
2026	J	`jnl`	Towards desiderata-driven design of visual counterfactual explainers. Pattern Recognit. Sidney Bender, Jan Herrmann, Klaus-Robert Müller, Grégoire Montavon
2025	J	`jnl`	Aligning machine and human visual representations across abstraction levels. Nat. Lukas Muttenthaler, Klaus Greff, Frieda Born, Bernhard Spitzer, Simon Kornblith, Michael C. Mozer, Klaus-Robert Müller, Thomas Unterthiner, Andrew K. Lampinen
2025	J	`jnl`	Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charité, and Aignostics. CoRR Maximilian Alber, Stephan Tietz, Jonas Dippel, Timo Milbich, Timothée Lesort, Panos Korfiatis, Moritz Krügener, Beatriz Perez Cancer, Neelay Shah, Alexander Möllers, Philipp Seegerer, Alexandra Carpen-Amarie, Kai Standvoss, Gabriel Dernbach, Edwin D. de Jong, Simon Schallenberg, Andreas Kunft, Helmut Hoffer von Ankershoffen, Gavin Schaeferle, Patrick Duffy, Matt Redlon, Philipp Jurmeister, David Horst, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen, Andrew P. Norgan
2025	J	`jnl`	Control Variate Score Matching for Diffusion Models. CoRR Khaled Kahouli, Romuald Elie, Klaus-Robert Müller, Quentin Berthet, Oliver T. Unke, Arnaud Doucet
2025	J	`jnl`	Data augmentation for forecasting industrial aging processes via conditional multimodal generative time-series models. Comput. Chem. Eng. Mihail Bogojeski, Nataliya Yakut, Sasho Nedelkoski, Shinichi Nakajima, Klaus-Robert Müller
2025	—	`conf`	Deep Learning Meets Source Reconstruction. BCI Klaus-Robert Müller, Marco Morik
2025	J	`jnl`	Enhancing Diffusion Models Efficiency by Disentangling Total-Variance and Signal-to-Noise Ratio. CoRR Khaled Kahouli, Winfried Ripken, Stefan Gugler, Oliver T. Unke, Klaus-Robert Müller, Shinichi Nakajima
2025	J	`jnl`	Explainable AI reveals Clever Hans effects in unsupervised learning models. Nat. Mac. Intell. Jacob R. Kauffmann, Jonas Dippel, Lukas Ruff, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon
2025	J	`jnl`	Explaining Bayesian Neural Networks. Trans. Mach. Learn. Res. Kirill Bykov, Marina M.-C. Höhne, Adelaida Creosteanu, Klaus-Robert Müller, Frederick Klauschen, Shinichi Nakajima, Marius Kloft
2025	J	`jnl`	Fast and Accurate Explanations of Distance-Based Classifiers by Uncovering Latent Explanatory Structures. CoRR Florian Bley, Jacob R. Kauffmann, Simon León Krug, Klaus-Robert Müller, Grégoire Montavon
2025	J	`jnl`	Getting aligned on representational alignment. Trans. Mach. Learn. Res. Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J. Cueva, Erin Grant, Iris I. A. Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. 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 P. O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2025	J	`jnl`	Guest Editorial: Special Issue on Information Theoretic Methods for the Generalization, Robustness, and Interpretability of Machine Learning. IEEE Trans. Neural Networks Learn. Syst. Badong Chen, Shujian Yu, Robert Jenssen, José C. Príncipe, Klaus-Robert Müller
2025	J	`jnl`	How simple can you go? An off-the-shelf transformer approach to molecular dynamics. CoRR Max Eissler, Tim Korjakow, Stefan Ganscha, Oliver T. Unke, Klaus-Robert Müller, Stefan Gugler
2025	—	`conf`	Improving Performance in fNIRS Single Trial Analysis: Multidisciplinary Opportunities and Perspective. BCI Alexander von Lühmann, Eike Middell, Thomas Fischer, Christian Tesch, Bilal Siddique, Bernhard B. Zimmermann, Shakiba Moradi, David A. Boas, Klaus-Robert Müller
2025	—	`conf`	MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification. MICCAI (14) David Jacob Drexlin, Jonas Dippel, Julius Hense, Niklas Prenißl, Grégoire Montavon, Frederick Klauschen, Klaus-Robert Müller
2025	J	`jnl`	MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification. CoRR David Jacob Drexlin, Jonas Dippel, Julius Hense, Niklas Prenißl, Grégoire Montavon, Frederick Klauschen, Klaus-Robert Müller
2025	J	`jnl`	Mitigating Clever Hans Strategies in Image Classifiers through Generating Counterexamples. CoRR Sidney Bender, Ole Delzer, Jan Herrmann, Heike Marxfeld, Klaus-Robert Müller, Grégoire Montavon
2025	J	`jnl`	Noise & pattern: identity-anchored Tikhonov regularization for robust structural anomaly detection. CoRR Alexander Bauer, Klaus-Robert Müller
2025	J	`jnl`	Parameterization of intraoperative human microelectrode recordings: Linking action potential morphology to brain anatomy. PLoS Comput. Biol. Matthew R. Baker, Bryan T. Klassen, Michael A. Jensen, Gabriela Ojeda Valencia, Hossein Heydari, Nuri F. Ince, Klaus-Robert Müller, Kai J. Miller
2025	J	`jnl`	Sampling 3D Molecular Conformers with Diffusion Transformers. CoRR J. Thorben Frank, Winfried Ripken, Gregor Lied, Klaus-Robert Müller, Oliver T. Unke, Stefan Chmiela
2025	J	`jnl`	Towards Desiderata-Driven Design of Visual Counterfactual Explainers. CoRR Sidney Bender, Jan Herrmann, Klaus-Robert Müller, Grégoire Montavon
2025	J	`jnl`	Towards Robust Foundation Models for Digital Pathology. CoRR Jonah Kömen, Edwin D. de Jong, Julius Hense, Hannah Marienwald, Jonas Dippel, Philip Naumann, Eric Marcus, Lukas Ruff, Maximilian Alber, Jonas Teuwen, Frederick Klauschen, Klaus-Robert Müller
2025	J	`jnl`	Towards symbolic XAI - explanation through human understandable logical relationships between features. Inf. Fusion Thomas Schnake, Farnoush Rezaei Jafari, Jonas Lederer, Ping Xiong, Shinichi Nakajima, Stefan Gugler, Grégoire Montavon, Klaus-Robert Müller
2025	—	`conf`	Uncovering the Structure of Explanation Quality with Spectral Analysis. xAI (3) Johannes Maeß, Grégoire Montavon, Shinichi Nakajima, Klaus-Robert Müller, Thomas Schnake
2025	J	`jnl`	Uncovering the Structure of Explanation Quality with Spectral Analysis. CoRR Johannes Maeß, Grégoire Montavon, Shinichi Nakajima, Klaus-Robert Müller, Thomas Schnake
2025	—	`conf`	XpertAI: Uncovering Regression Model Strategies for Sub-manifolds. xAI (3) Simon Letzgus, Klaus-Robert Müller, Grégoire Montavon
2024	J	`jnl`	A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery. CoRR Parastoo Semnani, Mihail Bogojeski, Florian Bley, Zizheng Zhang, Qiong Wu, Thomas Kneib, Jan Herrmann, Christoph Weisser, Florina Patcas, Klaus-Robert Müller
2024	J	`jnl`	AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics. CoRR Jonas Dippel, Niklas Prenißl, Julius Hense, Philipp Liznerski, Tobias Winterhoff, Simon Schallenberg, Marius Kloft, Oliver Buchstab, David Horst, Maximilian Alber, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen
2024	J	`jnl`	Aligning Machine and Human Visual Representations across Abstraction Levels. CoRR Lukas Muttenthaler, Klaus Greff, Frieda Born, Bernhard Spitzer, Simon Kornblith, Michael C. Mozer, Klaus-Robert Müller, Thomas Unterthiner, Andrew K. Lampinen
2024	J	`jnl`	AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark. J. Frankl. Inst. Sören Becker, Johanna Vielhaben, Marcel Ackermann, Klaus-Robert Müller, Sebastian Lapuschkin, Wojciech Samek
2024	J	`jnl`	Complete and Efficient Covariants for 3D Point Configurations with Application to Learning Molecular Quantum Properties. CoRR Hartmut Maennel, Oliver T. Unke, Klaus-Robert Müller
2024	—	`conf`	Deep Learning made transferable: studying Brain decoding. BCI Klaus-Robert Müller
2024	J	`jnl`	Diffeomorphic Counterfactuals With Generative Models. IEEE Trans. Pattern Anal. Mach. Intell. Ann-Kathrin Dombrowski, Jan E. Gerken, Klaus-Robert Müller, Pan Kessel
2024	J	`jnl`	Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. Pattarawat Chormai, Jan Herrmann, Klaus-Robert Müller, Grégoire Montavon
2024	J	`jnl`	Enhancing Brain Source Reconstruction through Physics-Informed 3D Neural Networks. CoRR Marco Morik, Ali Hashemi, Klaus-Robert Müller, Stefan Haufe, Shinichi Nakajima
2024	J	`jnl`	Euclidean Fast Attention: Machine Learning Global Atomic Representations at Linear Cost. CoRR J. Thorben Frank, Stefan Chmiela, Klaus-Robert Müller, Oliver T. Unke
2024	J	`jnl`	From Clustering to Cluster Explanations via Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Jacob R. Kauffmann, Malte Esders, Lukas Ruff, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
2024	J	`jnl`	Joint Learning of Full-Structure Noise in Hierarchical Bayesian Regression Models. IEEE Trans. Medical Imaging Ali Hashemi, Chang Cai, Yijing Gao, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
2024	A*	`conf`	MambaLRP: Explaining Selective State Space Sequence Models. NeurIPS Farnoush Rezaei Jafari, Grégoire Montavon, Klaus-Robert Müller, Oliver Eberle
2024	J	`jnl`	MambaLRP: Explaining Selective State Space Sequence Models. CoRR Farnoush Rezaei Jafari, Grégoire Montavon, Klaus-Robert Müller, Oliver Eberle
2024	J	`jnl`	Manipulating Feature Visualizations with Gradient Slingshots. CoRR Dilyara Bareeva, Marina M.-C. Höhne, Alexander Warnecke, Lukas Pirch, Klaus-Robert Müller, Konrad Rieck, Kirill Bykov
2024	J	`jnl`	Molecular relaxation by reverse diffusion with time step prediction. CoRR Khaled Kahouli, Stefaan Simon Pierre Hessmann, Klaus-Robert Müller, Shinichi Nakajima, Stefan Gugler, Niklas W. A. Gebauer
2024	J	`jnl`	Molecular relaxation by reverse diffusion with time step prediction. Mach. Learn. Sci. Technol. Khaled Kahouli, Stefaan Simon Pierre Hessmann, Klaus-Robert Müller, Shinichi Nakajima, Stefan Gugler, Niklas W. A. Gebauer
2024	J	`jnl`	Physics-Informed Bayesian Optimization of Variational Quantum Circuits. CoRR Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Klaus-Robert Müller, Paolo Stornati, Pan Kessel, Shinichi Nakajima
2024	J	`jnl`	Preemptively pruning Clever-Hans strategies in deep neural networks. Inf. Fusion Lorenz Linhardt, Klaus-Robert Müller, Grégoire Montavon
2024	J	`jnl`	RudolfV: A Foundation Model by Pathologists for Pathologists. CoRR Jonas Dippel, Barbara Feulner, Tobias Winterhoff, Simon Schallenberg, Gabriel Dernbach, Andreas Kunft, Stephan Tietz, Philipp Jurmeister, David Horst, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen, Maximilian Alber
2024	A*	`conf`	Set Learning for Accurate and Calibrated Models. ICLR Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller
2024	J	`jnl`	The Clever Hans Effect in Unsupervised Learning. CoRR Jacob R. Kauffmann, Jonas Dippel, Lukas Ruff, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon
2024	J	`jnl`	Towards Symbolic XAI - Explanation Through Human Understandable Logical Relationships Between Features. CoRR Thomas Schnake, Farnoush Rezaei Jafari, Jonas Lederer, Ping Xiong, Shinichi Nakajima, Stefan Gugler, Grégoire Montavon, Klaus-Robert Müller
2024	J	`jnl`	XpertAI: uncovering model strategies for sub-manifolds. CoRR Simon Letzgus, Klaus-Robert Müller, Grégoire Montavon
2024	J	`jnl`	xCG: Explainable Cell Graphs for Survival Prediction in Non-Small Cell Lung Cancer. CoRR Marvin Sextro, Gabriel Dernbach, Kai Standvoss, Simon Schallenberg, Frederick Klauschen, Klaus-Robert Müller, Maximilian Alber, Lukas Ruff
2024	A*	`conf`	xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology. NeurIPS Julius Hense, Mina Jamshidi Idaji, Oliver Eberle, Thomas Schnake, Jonas Dippel, Laure Ciernik, Oliver Buchstab, Andreas Mock, Frederick Klauschen, Klaus-Robert Müller
2024	J	`jnl`	xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology. CoRR Julius Hense, Mina Jamshidi Idaji, Oliver Eberle, Thomas Schnake, Jonas Dippel, Laure Ciernik, Oliver Buchstab, Andreas Mock, Frederick Klauschen, Klaus-Robert Müller
2023	J	`jnl`	Canonical Response Parameterization: Quantifying the structure of responses to single-pulse intracranial electrical brain stimulation. PLoS Comput. Biol. Kai J. Miller, Klaus-Robert Müller, Gabriela Ojeda Valencia, Harvey Huang, Nicholas M. Gregg, Gregory A. Worrell, Dora Hermes
2023	J	`jnl`	DORA: Exploring Outlier Representations in Deep Neural Networks. Trans. Mach. Learn. Res. Kirill Bykov, Mayukh Deb, Dennis Grinwald, Klaus-Robert Müller, Marina M.-C. Höhne
2023	J	`jnl`	Evaluating deep transfer learning for whole-brain cognitive decoding. J. Frankl. Inst. Armin W. Thomas, Ulman Lindenberger, Wojciech Samek, Klaus-Robert Müller
2023	J	`jnl`	From Peptides to Nanostructures: A Euclidean Transformer for Fast and Stable Machine Learned Force Fields. CoRR J. Thorben Frank, Oliver T. Unke, Klaus-Robert Müller, Stefan Chmiela
2023	J	`jnl`	Getting aligned on representational alignment. CoRR Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Erin Grant, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew K. Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2023	J	`jnl`	Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI. CoRR Oliver Eberle, Jochen Büttner, Hassan El-Hajj, Grégoire Montavon, Klaus-Robert Müller, Matteo Valleriani
2023	—	`conf`	Interpreting Deep Learning Models for Multi-modal Neuroimaging. BCI Klaus-Robert Müller, Simon M. Hofmann
2023	J	`jnl`	Langevin Cooling for Unsupervised Domain Translation. IEEE Trans. Neural Networks Learn. Syst. Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
2023	J	`jnl`	Learning domain invariant representations by joint Wasserstein distance minimization. Neural Networks Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, Klaus-Robert Müller, Grégoire Montavon
2023	J	`jnl`	Local Function Complexity for Active Learning via Mixture of Gaussian Processes. Trans. Mach. Learn. Res. Danny Panknin, Stefan Chmiela, Klaus-Robert Müller, Shinichi Nakajima
2023	—	`conf`	Mark My Words: Dangers of Watermarked Images in ImageNet. ECAI Workshops (1) Kirill Bykov, Klaus-Robert Müller, Marina M.-C. Höhne
2023	J	`jnl`	Mark My Words: Dangers of Watermarked Images in ImageNet. CoRR Kirill Bykov, Klaus-Robert Müller, Marina M.-C. Höhne
2023	J	`jnl`	Novel multivariate methods to track frequency shifts of neural oscillations in EEG/MEG recordings. NeuroImage Carmen Vidaurre, K. Gurunandan, Mina Jamshidi Idaji, Guido Nolte, Marisol Gómez, Arno Villringer, Klaus-Robert Müller, Vadim V. Nikulin
2023	A*	`conf`	Physics-Informed Bayesian Optimization of Variational Quantum Circuits. NeurIPS Kim Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Klaus-Robert Müller, Paolo Stornati, Pan Kessel, Shinichi Nakajima
2023	J	`jnl`	Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks. CoRR Lorenz Linhardt, Klaus-Robert Müller, Grégoire Montavon
2023	A*	`conf`	Relevant Walk Search for Explaining Graph Neural Networks. ICML Ping Xiong, Thomas Schnake, Michael Gastegger, Grégoire Montavon, Klaus-Robert Müller, Shinichi Nakajima
2023	J	`jnl`	Set Learning for Accurate and Calibrated Models. CoRR Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller
2023	A*	`conf`	Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations. CVPR Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2023	J	`jnl`	Towards transparent and robust data-driven wind turbine power curve models. CoRR Simon Letzgus, Klaus-Robert Müller
2022	J	`jnl`	Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations. CoRR Oliver T. Unke, Martin Stöhr, Stefan Ganscha, Thomas Unterthiner, Hartmut Maennel, Sergii Kashubin, Daniel Ahlin, Michael Gastegger, Leonardo Medrano Sandonas, Alexandre Tkatchenko, Klaus-Robert Müller
2022	J	`jnl`	Algorithmic Differentiation for Automatized Modelling of Machine Learned Force Fields. CoRR Niklas Frederik Schmitz, Klaus-Robert Müller, Stefan Chmiela
2022	J	`jnl`	An Ever-Expanding Humanities Knowledge Graph: The Sphaera Corpus at the Intersection of Humanities, Data Management, and Machine Learning. Datenbank-Spektrum Hassan El-Hajj, Maryam Zamani, Jochen Büttner, Julius Martinetz, Oliver Eberle, Noga Shlomi, Anna Siebold, Grégoire Montavon, Klaus-Robert Müller, Holger Kantz, Matteo Valleriani
2022	J	`jnl`	Automated Dissipation Control for Turbulence Simulation with Shell Models. CoRR Ann-Kathrin Dombrowski, Klaus-Robert Müller, Wolf-Christian Müller
2022	J	`jnl`	Automatic Identification of Chemical Moieties. CoRR Jonas Lederer, Michael Gastegger, Kristof T. Schütt, Michael Kampffmeyer, Klaus-Robert Müller, Oliver T. Unke
2022	J	`jnl`	Building and Interpreting Deep Similarity Models. IEEE Trans. Pattern Anal. Mach. Intell. Oliver Eberle, Jochen Büttner, Florian Kräutli, Klaus-Robert Müller, Matteo Valleriani, Grégoire Montavon
2022	J	`jnl`	DORA: Exploring outlier representations in Deep Neural Networks. CoRR Kirill Bykov, Mayukh Deb, Dennis Grinwald, Klaus-Robert Müller, Marina M.-C. Höhne
2022	—	`conf`	Deep Learning for Whole-Brain Cognitive Decoding. BCI Klaus-Robert Müller, Armin W. Thomas, Wojciech Samek
2022	J	`jnl`	Diffeomorphic Counterfactuals with Generative Models. CoRR Ann-Kathrin Dombrowski, Jan E. Gerken, Klaus-Robert Müller, Pan Kessel
2022	J	`jnl`	Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces. CoRR Pattarawat Chormai, Jan Herrmann, Klaus-Robert Müller, Grégoire Montavon
2022	A*	`conf`	Efficient Computation of Higher-Order Subgraph Attribution via Message Passing. ICML Ping Xiong, Thomas Schnake, Grégoire Montavon, Klaus-Robert Müller, Shinichi Nakajima
2022	J	`jnl`	Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images. CoRR Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft
2022	J	`jnl`	Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images. Trans. Mach. Learn. Res. Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft
2022	J	`jnl`	Finding and removing Clever Hans: Using explanation methods to debug and improve deep models. Inf. Fusion Christopher J. Anders, Leander Weber, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin
2022	J	`jnl`	Harmoni: A method for eliminating spurious interactions due to the harmonic components in neuronal data. NeuroImage Mina Jamshidi Idaji, Juanli Zhang, Tilman Stephani, Guido Nolte, Klaus-Robert Müller, Arno Villringer, Vadim V. Nikulin
2022	J	`jnl`	High-fidelity molecular dynamics trajectory reconstruction with bi-directional neural networks. Mach. Learn. Sci. Technol. Ludwig Winkler, Klaus-Robert Müller, Huziel E. Sauceda
2022	J	`jnl`	Higher-Order Explanations of Graph Neural Networks via Relevant Walks. IEEE Trans. Pattern Anal. Mach. Intell. Thomas Schnake, Oliver Eberle, Jonas Lederer, Shinichi Nakajima, Kristof T. Schütt, Klaus-Robert Müller, Grégoire Montavon
2022	J	`jnl`	Interpretability, Reproducibility, and Replicability [From the Guest Editors]. IEEE Signal Process. Mag. Tülay Adali, Rodrigo Capobianco Guido, Tin Kam Ho, Klaus-Robert Müller, Stephen C. Strother
2022	J	`jnl`	Reconstructing Kernel-based Machine Learning Force Fields with Super-linear Convergence. CoRR Stefan Blücher, Klaus-Robert Müller, Stefan Chmiela
2022	J	`jnl`	Scrutinizing XAI using linear ground-truth data with suppressor variables. Mach. Learn. Rick Wilming, Céline Budding, Klaus-Robert Müller, Stefan Haufe
2022	J	`jnl`	Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations. CoRR Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2022	J	`jnl`	So3krates - Self-attention for higher-order geometric interactions on arbitrary length-scales. CoRR J. Thorben Frank, Oliver T. Unke, Klaus-Robert Müller
2022	A*	`conf`	So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems. NeurIPS J. Thorben Frank, Oliver T. Unke, Klaus-Robert Müller
2022	J	`jnl`	Super-resolution in Molecular Dynamics Trajectory Reconstruction with Bi-Directional Neural Networks. CoRR Ludwig Winkler, Klaus-Robert Müller, Huziel E. Sauceda
2022	J	`jnl`	Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective. IEEE Signal Process. Mag. Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon
2022	J	`jnl`	Towards robust explanations for deep neural networks. Pattern Recognit. Ann-Kathrin Dombrowski, Christopher J. Anders, Klaus-Robert Müller, Pan Kessel
2022	J	`jnl`	Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain. NeuroImage Simon M. Hofmann, Frauke Beyer, Sebastian Lapuschkin, Ole Goltermann, Markus Loeffler, Klaus-Robert Müller, Arno Villringer, Wojciech Samek, Anja Veronica Witte
2022	—	`conf`	Welcome Message from the General Chairs. BCI Seong-Whan Lee, Klaus-Robert Müller
2022	A*	`conf`	XAI for Transformers: Better Explanations through Conservative Propagation. ICML Ameen Ali, Thomas Schnake, Oliver Eberle, Grégoire Montavon, Klaus-Robert Müller, Lior Wolf
2022	J	`jnl`	XAI for Transformers: Better Explanations through Conservative Propagation. CoRR Ameen Ali, Thomas Schnake, Oliver Eberle, Grégoire Montavon, Klaus-Robert Müller, Lior Wolf
2022	—	`ed.`	xxAI - Beyond Explainable AI - International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers xxAI@ICML Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller, Wojciech Samek
2021	J	`jnl`	A Unifying Review of Deep and Shallow Anomaly Detection. Proc. IEEE Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller
2021	J	`jnl`	BIGDML: Towards Exact Machine Learning Force Fields for Materials. CoRR Huziel E. Sauceda, Luis E. Gálvez-González, Stefan Chmiela, Lauro Oliver Paz-Borbón, Klaus-Robert Müller, Alexandre Tkatchenko
2021	J	`jnl`	Basis profile curve identification to understand electrical stimulation effects in human brain networks. PLoS Comput. Biol. Kai J. Miller, Klaus-Robert Müller, Dora Hermes
2021	J	`jnl`	Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints. IEEE Trans. Neural Networks Learn. Syst. Felix Sattler, Klaus-Robert Müller, Wojciech Samek
2021	J	`jnl`	Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging. CoRR Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
2021	A*	`conf`	Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging. NeurIPS Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
2021	J	`jnl`	Evaluating deep transfer learning for whole-brain cognitive decoding. CoRR Armin W. Thomas, Ulman Lindenberger, Wojciech Samek, Klaus-Robert Müller
2021	A*	`conf`	Explainable Deep One-Class Classification. ICLR Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Müller
2021	J	`jnl`	Explaining Bayesian Neural Networks. CoRR Kirill Bykov, Marina M.-C. Höhne, Adelaida Creosteanu, Klaus-Robert Müller, Frederick Klauschen, Shinichi Nakajima, Marius Kloft
2021	J	`jnl`	Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications. Proc. IEEE Wojciech Samek, Grégoire Montavon, Sebastian Lapuschkin, Christopher J. Anders, Klaus-Robert Müller
2021	J	`jnl`	Forecasting industrial aging processes with machine learning methods. Comput. Chem. Eng. Mihail Bogojeski, Simeon Sauer, Franziska Horn, Klaus-Robert Müller
2021	J	`jnl`	Inverse design of 3d molecular structures with conditional generative neural networks. CoRR Niklas W. A. Gebauer, Michael Gastegger, Stefaan Simon Pierre Hessmann, Klaus-Robert Müller, Kristof T. Schütt
2021	J	`jnl`	Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization. CoRR Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, Klaus-Robert Müller, Grégoire Montavon
2021	J	`jnl`	Morphological and molecular breast cancer profiling through explainable machine learning. Nat. Mach. Intell. Alexander Binder, Michael Bockmayr, Miriam Hägele, Stephan Wienert, Daniel Heim, Katharina Hellweg, Masaru Ishii, Albrecht Stenzinger, Andreas Hocke, Carsten Denkert, Klaus-Robert Müller, Frederick Klauschen
2021	J	`jnl`	On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy. CoRR Vignesh Srinivasan, Nils Strodthoff, Jackie Ma, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
2021	J	`jnl`	Optimal Sampling Density for Nonparametric Regression. CoRR Danny Panknin, Shinichi Nakajima, Klaus-Robert Müller
2021	J	`jnl`	Pruning by explaining: A novel criterion for deep neural network pruning. Pattern Recognit. Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin, Alexander Binder, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
2021	J	`jnl`	Robustifying models against adversarial attacks by Langevin dynamics. Neural Networks Vignesh Srinivasan, Csaba Rohrer, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
2021	A*	`conf`	SE(3)-equivariant prediction of molecular wavefunctions and electronic densities. NeurIPS Oliver T. Unke, Mihail Bogojeski, Michael Gastegger, Mario Geiger, Tess E. Smidt, Klaus-Robert Müller
2021	J	`jnl`	Scrutinizing XAI using linear ground-truth data with suppressor variables. CoRR Rick Wilming, Céline Budding, Klaus-Robert Müller, Stefan Haufe
2021	J	`jnl`	Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy. CoRR Christopher J. Anders, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin
2021	J	`jnl`	SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects. CoRR Oliver T. Unke, Stefan Chmiela, Michael Gastegger, Kristof T. Schütt, Huziel E. Sauceda, Klaus-Robert Müller
2021	J	`jnl`	Toward Explainable AI for Regression Models. CoRR Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon
2021	J	`jnl`	Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology. Mach. Learn. Knowl. Extr. Stefan Studer, Thanh Binh Bui, Christian Drescher, Alexander Hanuschkin, Ludwig Winkler, Steven Peters, Klaus-Robert Müller
2021	J	`jnl`	Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework. NeuroImage Ali Hashemi, Chang Cai, Gitta Kutyniok, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
2020	J	`jnl`	A Unifying Review of Deep and Shallow Anomaly Detection. CoRR Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller
2020	J	`jnl`	An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real-world conditions. Sci. Robotics Dong-Ok Won, Klaus-Robert Müller, Seong-Whan Lee
2020	—	`conf`	Analysing the Changing Brain: Immediate Brain Plasticity After One Hour of BCI. BCI Klaus-Robert Müller
2020	J	`jnl`	Automatic Identification of Types of Alterations in Historical Manuscripts. CoRR David Lassner, Anne Baillot, Sergej Dogadov, Klaus-Robert Müller, Shinichi Nakajima
2020	J	`jnl`	Autonomous robotic nanofabrication with reinforcement learning. CoRR Philipp Leinen, Malte Esders, Kristof T. Schütt, Christian Wagner, Klaus-Robert Müller, F. Stefan Tautz
2020	A*	`conf`	Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance. AAAI Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
2020	J	`jnl`	Building and Interpreting Deep Similarity Models. CoRR Oliver Eberle, Jochen Büttner, Florian Kräutli, Klaus-Robert Müller, Matteo Valleriani, Grégoire Montavon
2020	J	`jnl`	Compact and Computationally Efficient Representation of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
2020	A*	`conf`	Deep Semi-Supervised Anomaly Detection. ICLR Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
2020	B	`conf`	EEG-Based Assessment of Perceived Quality in Complex Natural Images. ICIP Tamer Ajaj, Klaus-Robert Müller, Gabriel Curio, Thomas Wiegand, Sebastian Bosse
2020	B	`conf`	EEG-Based Assessment of Perceived Realness in Stylized Face Images. QoMEX Milena T. Bagdasarian, Anna Hilsmann, Peter Eisert, Gabriel Curio, Klaus-Robert Müller, Thomas Wiegand, Sebastian Bosse
2020	J	`jnl`	Explainable Deep One-Class Classification. CoRR Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Müller
2020	—	`conf`	Explaining the Predictions of Unsupervised Learning Models. xxAI@ICML Grégoire Montavon, Jacob R. Kauffmann, Wojciech Samek, Klaus-Robert Müller
2020	J	`jnl`	Fairwashing Explanations with Off-Manifold Detergent. CoRR Christopher J. Anders, Plamen Pasliev, Ann-Kathrin Dombrowski, Klaus-Robert Müller, Pan Kessel
2020	A*	`conf`	Fairwashing explanations with off-manifold detergent. ICML Christopher J. Anders, Plamen Pasliev, Ann-Kathrin Dombrowski, Klaus-Robert Müller, Pan Kessel
2020	J	`jnl`	Forecasting Industrial Aging Processes with Machine Learning Methods. CoRR Mihail Bogojeski, Simeon Sauer, Franziska Horn, Klaus-Robert Müller
2020	J	`jnl`	How Much Can I Trust You? - Quantifying Uncertainties in Explaining Neural Networks. CoRR Kirill Bykov, Marina M.-C. Höhne, Klaus-Robert Müller, Shinichi Nakajima, Marius Kloft
2020	J	`jnl`	Improved physiological noise regression in fNIRS: A multimodal extension of the General Linear Model using temporally embedded Canonical Correlation Analysis. NeuroImage Alexander von Lühmann, Xinge Li, Klaus-Robert Müller, David A. Boas, Meryem A. Yücel
2020	—	`ch.`	Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images. AI and ML for Digital Pathology Philipp Seegerer, Alexander Binder, René Saitenmacher, Michael Bockmayr, Maximilian Alber, Philipp Jurmeister, Frederick Klauschen, Klaus-Robert Müller
2020	J	`jnl`	Langevin Cooling for Domain Translation. CoRR Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
2020	J	`jnl`	Mammography Image Quality Assurance Using Deep Learning. IEEE Trans. Biomed. Eng. Tobias Kretz, Klaus-Robert Müller, Tobias Schaeffter, Clemens Elster
2020	J	`jnl`	Nonlinear interaction decomposition (NID): A method for separation of cross-frequency coupled sources in human brain. NeuroImage Mina Jamshidi Idaji, Klaus-Robert Müller, Guido Nolte, Burkhard Maess, Arno Villringer, Vadim V. Nikulin
2020	Misc	`conf`	On the Byzantine Robustness of Clustered Federated Learning. ICASSP Felix Sattler, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek
2020	J	`jnl`	Optimizing for Measure of Performance in Max-Margin Parsing. IEEE Trans. Neural Networks Learn. Syst. Alexander Bauer, Shinichi Nakajima, Nico Görnitz, Klaus-Robert Müller
2020	J	`jnl`	Rethinking Assumptions in Deep Anomaly Detection. CoRR Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft
2020	J	`jnl`	Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements. CoRR Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann, Markus Wenzel, Ralf Schäfer, Wojciech Samek, Klaus-Robert Müller, Thomas Wiegand
2020	J	`jnl`	Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements. npj Digit. Medicine Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann, Markus Wenzel, Ralf Schäfer, Wojciech Samek, Klaus-Robert Müller, Thomas Wiegand
2020	J	`jnl`	Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data. IEEE Trans. Neural Networks Learn. Syst. Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
2020	J	`jnl`	The Clever Hans Effect in Anomaly Detection. CoRR Jacob R. Kauffmann, Lukas Ruff, Grégoire Montavon, Klaus-Robert Müller
2020	J	`jnl`	Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond. CoRR Wojciech Samek, Grégoire Montavon, Sebastian Lapuschkin, Christopher J. Anders, Klaus-Robert Müller
2020	J	`jnl`	Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology. CoRR Stefan Studer, Thanh Binh Bui, Christian Drescher, Alexander Hanuschkin, Ludwig Winkler, Steven Peters, Klaus-Robert Müller
2020	J	`jnl`	Towards Robust Explanations for Deep Neural Networks. CoRR Ann-Kathrin Dombrowski, Christopher J. Anders, Klaus-Robert Müller, Pan Kessel
2020	J	`jnl`	Towards explaining anomalies: A deep Taylor decomposition of one-class models. Pattern Recognit. Jacob R. Kauffmann, Klaus-Robert Müller, Grégoire Montavon
2020	J	`jnl`	XAI for Graphs: Explaining Graph Neural Network Predictions by Identifying Relevant Walks. CoRR Thomas Schnake, Oliver Eberle, Jonas Lederer, Shinichi Nakajima, Kristof T. Schütt, Klaus-Robert Müller, Grégoire Montavon
2020	—	`conf`	xxAI - Beyond Explainable Artificial Intelligence. xxAI@ICML Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller, Wojciech Samek
2019	—	`conf`	A Neural Network Model of Spatial Distortion Sensitivity for Video Quality Estimation. MLSP Sören Becker, Klaus-Robert Müller, Thomas Wiegand, Sebastian Bosse
2019	J	`jnl`	A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy. NeuroImage Alexander von Lühmann, Zois Boukouvalas, Klaus-Robert Müller, Tülay Adali
2019	J	`jnl`	Analyzing ImageNet with Spectral Relevance Analysis: Towards ImageNet un-Hans'ed. CoRR Christopher J. Anders, Talmaj Marinc, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin
2019	J	`jnl`	Asymptotically Unbiased Generative Neural Sampling. CoRR Kim A. Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Pan Kessel
2019	J	`jnl`	Automating the search for a patent's prior art with a full text similarity search. CoRR Lea Helmers, Franziska Horn, Franziska Biegler, Tim Oppermann, Klaus-Robert Müller
2019	—	`conf`	Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution. EUSIPCO Vignesh Srinivasan, Ercan E. Kuruoglu, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
2019	J	`jnl`	Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution. CoRR Vignesh Srinivasan, Ercan E. Kuruoglu, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
2019	J	`jnl`	Canonical maximization of coherence: A novel tool for investigation of neuronal interactions between two datasets. NeuroImage Carmen Vidaurre, Guido Nolte, Ingmar E. J. de Vries, Marisol Gómez, Tjeerd W. Boonstra, Klaus-Robert Müller, Arno Villringer, Vadim V. Nikulin
2019	J	`jnl`	Classification of structured validation data using stateless and stateful features. Comput. Commun. Guido Schwenk, Ralf Pabst, Klaus-Robert Müller
2019	J	`jnl`	Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints. CoRR Felix Sattler, Klaus-Robert Müller, Wojciech Samek
2019	J	`jnl`	Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling. CoRR Kim Nicoli, Pan Kessel, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Shinichi Nakajima
2019	J	`jnl`	Deep Semi-Supervised Anomaly Detection. CoRR Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
2019	J	`jnl`	Deep Transfer Learning For Whole-Brain fMRI Analyses. CoRR Armin W. Thomas, Klaus-Robert Müller, Wojciech Samek
2019	—	`conf`	Deep Transfer Learning for Whole-Brain FMRI Analyses. OR/MLCN@MICCAI Armin W. Thomas, Klaus-Robert Müller, Wojciech Samek
2019	J	`jnl`	Enhancing sensorimotor BCI performance with assistive afferent activity: An online evaluation. NeuroImage Carmen Vidaurre, Ander Ramos-Murguialday, Stefan Haufe, Marisol Gómez, Klaus-Robert Müller, Vadim V. Nikulin
2019	B	`conf`	Entropy-Constrained Training of Deep Neural Networks. IJCNN Simon Wiedemann, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek
2019	J	`jnl`	Estimation of distortion sensitivity for visual quality prediction using a convolutional neural network. Digit. Signal Process. Sebastian Bosse, Sören Becker, Klaus-Robert Müller, Wojciech Samek, Thomas Wiegand
2019	—	`conf`	Evaluating Recurrent Neural Network Explanations. BlackboxNLP@ACL Leila Arras, Ahmed Osman, Klaus-Robert Müller, Wojciech Samek
2019	J	`jnl`	Evaluating Recurrent Neural Network Explanations. CoRR Leila Arras, Ahmed Osman, Klaus-Robert Müller, Wojciech Samek
2019	—	`book`	Explainable AI: Interpreting, Explaining and Visualizing Deep Learning Explainable AI Wojciech Samek, Grégoire Montavon, Andrea Vedaldi, Lars Kai Hansen, Klaus-Robert Müller
2019	—	`conf`	Explainable Deep Learning for Analysing Brain Data. BCI Klaus-Robert Müller
2019	J	`jnl`	Explaining and Interpreting LSTMs. CoRR Leila Arras, Jose A. Arjona-Medina, Michael Widrich, Grégoire Montavon, Michael Gillhofer, Klaus-Robert Müller, Sepp Hochreiter, Wojciech Samek
2019	—	`ch.`	Explaining and Interpreting LSTMs. Explainable AI Leila Arras, Jose A. Arjona-Medina, Michael Widrich, Grégoire Montavon, Michael Gillhofer, Klaus-Robert Müller, Sepp Hochreiter, Wojciech Samek
2019	A*	`conf`	Explanations can be manipulated and geometry is to blame. NeurIPS Ann-Kathrin Dombrowski, Maximilian Alber, Christopher J. Anders, Marcel Ackermann, Klaus-Robert Müller, Pan Kessel
2019	J	`jnl`	Explanations can be manipulated and geometry is to blame. CoRR Ann-Kathrin Dombrowski, Maximilian Alber, Christopher J. Anders, Marcel Ackermann, Klaus-Robert Müller, Pan Kessel
2019	J	`jnl`	From Clustering to Cluster Explanations via Neural Networks. CoRR Jacob R. Kauffmann, Malte Esders, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
2019	—	`ch.`	Layer-Wise Relevance Propagation: An Overview. Explainable AI Grégoire Montavon, Alexander Binder, Sebastian Lapuschkin, Wojciech Samek, Klaus-Robert Müller
2019	J	`jnl`	Local Bandwidth Estimation via Mixture of Gaussian Processes. CoRR Danny Panknin, Shinichi Nakajima, Thanh Binh Bui, Klaus-Robert Müller
2019	J	`jnl`	Machine learning for molecular simulation. CoRR Frank Noé, Alexandre Tkatchenko, Klaus-Robert Müller, Cecilia Clementi
2019	J	`jnl`	N-ary decomposition for multi-class classification. Mach. Learn. Joey Tianyi Zhou, Ivor W. Tsang, Shen-Shyang Ho, Klaus-Robert Müller
2019	A	`conf`	Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs. AISTATS Alexander Bauer, Shinichi Nakajima, Nico Görnitz, Klaus-Robert Müller
2019	J	`jnl`	Pruning by Explaining: A Novel Criterion for Deep Neural Network Pruning. CoRR Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
2019	—	`ch.`	Quantum-Chemical Insights from Interpretable Atomistic Neural Networks. Explainable AI Kristof T. Schütt, Michael Gastegger, Alexandre Tkatchenko, Klaus-Robert Müller
2019	J	`jnl`	Resolving challenges in deep learning-based analyses of histopathological images using explanation methods. CoRR Miriam Hägele, Philipp Seegerer, Sebastian Lapuschkin, Michael Bockmayr, Wojciech Samek, Frederick Klauschen, Klaus-Robert Müller, Alexander Binder
2019	—	`ch.`	Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed Convergence and High Decoding Performance. Brain-Computer Interface Research (7) David Hübner, Pieter-Jan Kindermans, Thibault Verhoeven, Klaus-Robert Müller, Michael Tangermann
2019	J	`jnl`	Robust and Communication-Efficient Federated Learning from Non-IID Data. CoRR Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
2019	—	`conf`	Rotation Invariant Clustering of 3D Cell Nuclei Shapes. EMBC Patrick Wagner, Jakob Paul Morath, Arturo Zychlinsky, Klaus-Robert Müller, Wojciech Samek
2019	B	`conf`	Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication. IJCNN Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
2019	J	`jnl`	Towards Explainable Artificial Intelligence. CoRR Wojciech Samek, Klaus-Robert Müller
2019	—	`ch.`	Towards Explainable Artificial Intelligence. Explainable AI Wojciech Samek, Klaus-Robert Müller
2019	—	`ch.`	Understanding Patch-Based Learning of Video Data by Explaining Predictions. Explainable AI Christopher J. Anders, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
2019	J	`jnl`	Unmasking Clever Hans Predictors and Assessing What Machines Really Learn. CoRR Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
2019	J	`jnl`	iNNvestigate Neural Networks! J. Mach. Learn. Res. Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele, Kristof T. Schütt, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans
2019	J	`jnl`	sGDML: Constructing accurate and data efficient molecular force fields using machine learning. Comput. Phys. Commun. Stefan Chmiela, Huziel Enoc Sauceda Felix, Igor Poltavsky, Klaus-Robert Müller, Alexandre Tkatchenko
2018	J	`jnl`	Assessing Perceived Image Quality Using Steady-State Visual Evoked Potentials and Spatio-Spectral Decomposition. IEEE Trans. Circuits Syst. Video Technol. Sebastian Bosse, Laura Acqualagna, Wojciech Samek, Anne K. Porbadnigk, Gabriel Curio, Benjamin Blankertz, Klaus-Robert Müller, Thomas Wiegand
2018	J	`jnl`	Compact and Computationally Efficient Representation of Deep Neural Networks. CoRR Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
2018	J	`jnl`	Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder. CoRR Vignesh Srinivasan, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
2018	A*	`conf`	Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling. IJCAI Dong-Ok Won, Byung-Do Kim, Ho-Jung Kim, Tae-San Eom, Klaus-Robert Müller, Seong-Whan Lee
2018	J	`jnl`	Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment. IEEE Trans. Image Process. Sebastian Bosse, Dominique Maniry, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek
2018	J	`jnl`	Entropy-Constrained Training of Deep Neural Networks. CoRR Simon Wiedemann, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek
2018	Misc	`conf`	How are the Centered Kernel Principal Components Relevant to Regression Task? -An Exact Analysis. ICASSP Masahiro Yukawa, Klaus-Robert Müller, Yuto Ogino
2018	J	`jnl`	Improvement of Information Transfer Rates Using a Hybrid EEG-NIRS Brain-Computer Interface with a Short Trial Length: Offline and Pseudo-Online Analyses. Sensors Jaeyoung Shin, Do-Won Kim, Klaus-Robert Müller, Han-Jeong Hwang
2018	J	`jnl`	Interpretable LSTMs For Whole-Brain Neuroimaging Analyses. CoRR Armin W. Thomas, Hauke R. Heekeren, Klaus-Robert Müller, Wojciech Samek
2018	J	`jnl`	Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals. CoRR Sören Becker, Marcel Ackermann, Sebastian Lapuschkin, Klaus-Robert Müller, Wojciech Samek
2018	—	`conf`	Learning how to explain neural networks: PatternNet and PatternAttribution. ICLR (Poster) Pieter-Jan Kindermans, Kristof T. Schütt, Maximilian Alber, Klaus-Robert Müller, Dumitru Erhan, Been Kim, Sven Dähne
2018	J	`jnl`	Learning representations of molecules and materials with atomistic neural networks. CoRR Kristof T. Schütt, Alexandre Tkatchenko, Klaus-Robert Müller
2018	J	`jnl`	Methods for interpreting and understanding deep neural networks. Digit. Signal Process. Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
2018	—	`conf`	Open access repository for hybrid EEG-NIRS data. BCI Jaeyoung Shin, Alexander von Lühmann, Benjamin Blankertz, Do-Won Kim, Jan Mehnert, Jichai Jeong, Han-Jeong Hwang, Klaus-Robert Müller
2018	J	`jnl`	Quantum-chemical insights from interpretable atomistic neural networks. CoRR Kristof T. Schütt, Michael Gastegger, Alexandre Tkatchenko, Klaus-Robert Müller
2018	J	`jnl`	Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication. CoRR Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
2018	J	`jnl`	Support Vector Data Descriptions and k-Means Clustering: One Class? IEEE Trans. Neural Networks Learn. Syst. Nico Görnitz, Luiz Alberto Lima, Klaus-Robert Müller, Marius Kloft, Shinichi Nakajima
2018	J	`jnl`	Tight Bound of Incremental Cover Trees for Dynamic Diversification. CoRR Hannah Marienwald, Wikor Pronobis, Klaus-Robert Müller, Shinichi Nakajima
2018	J	`jnl`	Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class Models. CoRR Jacob R. Kauffmann, Klaus-Robert Müller, Grégoire Montavon
2018	J	`jnl`	Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles. CoRR Alexander Binder, Michael Bockmayr, Miriam Hägele, Stephan Wienert, Daniel Heim, Katharina Hellweg, Albrecht Stenzinger, Laura Parlow, Jan Budczies, Benjamin Goeppert, Denise Treue, Manato Kotani, Masaru Ishii, Manfred Dietel, Andreas Hocke, Carsten Denkert, Klaus-Robert Müller, Frederick Klauschen
2018	—	`conf`	Towards robust machine learning methods for the analysis of brain data. BCI Klaus-Robert Müller
2018	J	`jnl`	Transductive Regression for Data With Latent Dependence Structure. IEEE Trans. Neural Networks Learn. Syst. Nico Görnitz, Luiz Alberto Lima, Luiz Eduardo Varella, Klaus-Robert Müller, Shinichi Nakajima
2018	J	`jnl`	Understanding Patch-Based Learning by Explaining Predictions. CoRR Christopher J. Anders, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
2018	J	`jnl`	Unsupervised Detection and Explanation of Latent-class Contextual Anomalies. CoRR Jacob R. Kauffmann, Grégoire Montavon, Luiz Alberto Lima, Shinichi Nakajima, Klaus-Robert Müller, Nico Görnitz
2018	J	`jnl`	Unsupervised Learning for Brain-Computer Interfaces Based on Event-Related Potentials: Review and Online Comparison [Research Frontier]. IEEE Comput. Intell. Mag. David Hübner, Thibault Verhoeven, Klaus-Robert Müller, Pieter-Jan Kindermans, Michael Tangermann
2018	J	`jnl`	Wasserstein Stationary Subspace Analysis. IEEE J. Sel. Top. Signal Process. Stephan Kaltenstadler, Shinichi Nakajima, Klaus-Robert Müller, Wojciech Samek
2018	J	`jnl`	What is Unique in Individual Gait Patterns? Understanding and Interpreting Deep Learning in Gait Analysis. CoRR Fabian Horst, Sebastian Lapuschkin, Wojciech Samek, Klaus-Robert Müller, Wolfgang Immanuel Schöllhorn
2018	J	`jnl`	iNNvestigate neural networks! CoRR Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele, Kristof T. Schütt, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans
2017	J	`jnl`	Accurate Maximum-Margin Training for Parsing With Context-Free Grammars. IEEE Trans. Neural Networks Learn. Syst. Alexander Bauer, Mikio L. Braun, Klaus-Robert Müller
2017	J	`jnl`	An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels. J. Mach. Learn. Res. Weiwei Liu, Ivor W. Tsang, Klaus-Robert Müller
2017	—	`conf`	An Empirical Study on The Properties of Random Bases for Kernel Methods. NIPS Maximilian Alber, Pieter-Jan Kindermans, Kristof Schütt, Klaus-Robert Müller, Fei Sha
2017	J	`jnl`	Discovering topics in text datasets by visualizing relevant words. CoRR Franziska Horn, Leila Arras, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2017	J	`jnl`	Efficient Exact Inference With Loss Augmented Objective in Structured Learning. IEEE Trans. Neural Networks Learn. Syst. Alexander Bauer, Shinichi Nakajima, Klaus-Robert Müller
2017	J	`jnl`	Evaluating the Visualization of What a Deep Neural Network Has Learned. IEEE Trans. Neural Networks Learn. Syst. Wojciech Samek, Alexander Binder, Grégoire Montavon, Sebastian Lapuschkin, Klaus-Robert Müller
2017	J	`jnl`	Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models. CoRR Wojciech Samek, Thomas Wiegand, Klaus-Robert Müller
2017	—	`conf`	Explaining Recurrent Neural Network Predictions in Sentiment Analysis. WASSA@EMNLP Leila Arras, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2017	J	`jnl`	Explaining Recurrent Neural Network Predictions in Sentiment Analysis. CoRR Leila Arras, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2017	J	`jnl`	Explaining nonlinear classification decisions with deep Taylor decomposition. Pattern Recognit. Grégoire Montavon, Sebastian Lapuschkin, Alexander Binder, Wojciech Samek, Klaus-Robert Müller
2017	J	`jnl`	Exploring text datasets by visualizing relevant words. CoRR Franziska Horn, Leila Arras, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2017	—	`conf`	From measurement to machine learning: Towards analysing cognition. BCI Klaus-Robert Müller
2017	—	`conf`	Headgear for Mobile Neurotechnology: looking into Alternatives for EEG and NIRS probes. GBCIC Alexander von Lühmann, Surjo R. Soekadar, Benjamin Blankertz, Klaus-Robert Müller
2017	—	`conf`	Hybrid EEG-NIRS brain-computer interface under eyes-closed condition. APSIPA Jaeyoung Shin, Klaus-Robert Müller, Han-Jeong Hwang
2017	—	`conf`	Improving Classification Performance of a brain-Computer Interface System based on Rapid Serial Visual Presentation by Shifting stimuli. GBCIC Dong-Ok Won, Han-Jeong Hwang, Klaus-Robert Müller, Seong-Whan Lee
2017	Misc	`conf`	Interpretable human action recognition in compressed domain. ICASSP Vignesh Srinivasan, Sebastian Lapuschkin, Cornelius Hellge, Klaus-Robert Müller, Wojciech Samek
2017	J	`jnl`	Learning from Label Proportions in Brain-Computer Interfaces: Online Unsupervised Learning with Guarantees. CoRR David Hübner, Thibault Verhoeven, Konstantin Schmid, Klaus-Robert Müller, Michael Tangermann, Pieter-Jan Kindermans
2017	J	`jnl`	Learning similarity preserving representations with neural similarity encoders. CoRR Franziska Horn, Klaus-Robert Müller
2017	J	`jnl`	M3BA: A Mobile, Modular, Multimodal Biosignal Acquisition Architecture for Miniaturized EEG-NIRS-Based Hybrid BCI and Monitoring. IEEE Trans. Biomed. Eng. Alexander von Lühmann, Heidrun Wabnitz, Tilmann Heinrich Sander, Klaus-Robert Müller
2017	J	`jnl`	Methods for Interpreting and Understanding Deep Neural Networks. CoRR Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
2017	A*	`conf`	Minimizing Trust Leaks for Robust Sybil Detection. ICML János Höner, Shinichi Nakajima, Alexander Bauer, Klaus-Robert Müller, Nico Görnitz
2017	—	`conf`	Object Boundary Detection and Classification with Image-Level Labels. GCPR Jing Yu Koh, Wojciech Samek, Klaus-Robert Müller, Alexander Binder
2017	J	`jnl`	Optimizing for Measure of Performance in Max-Margin Parsing. CoRR Alexander Bauer, Shinichi Nakajima, Nico Görnitz, Klaus-Robert Müller
2017	J	`jnl`	Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs. CoRR Alexander Bauer, Shinichi Nakajima, Nico Görnitz, Klaus-Robert Müller
2017	J	`jnl`	PatternNet and PatternLRP - Improving the interpretability of neural networks. CoRR Pieter-Jan Kindermans, Kristof T. Schütt, Maximilian Alber, Klaus-Robert Müller, Sven Dähne
2017	J	`jnl`	Porosity estimation by semi-supervised learning with sparsely available labeled samples. Comput. Geosci. Luiz Alberto Lima, Nico Görnitz, Luiz Eduardo Varella, Marley M. B. R. Vellasco, Klaus-Robert Müller, Shinichi Nakajima
2017	—	`conf`	Reinforcement learning for video encoder control in HEVC. IWSSIP Philipp Helle, Heiko Schwarz, Thomas Wiegand, Klaus-Robert Müller
2017	—	`conf`	SchNet: A continuous-filter convolutional neural network for modeling quantum interactions. NIPS Kristof Schütt, Pieter-Jan Kindermans, Huziel Enoc Sauceda Felix, Stefan Chmiela, Alexandre Tkatchenko, Klaus-Robert Müller
2017	—	`conf`	Shifting stimuli for brain computer interface based on rapid serial visual presentation. BCI Dong-Ok Won, Han-Jeong Hwang, Klaus-Robert Müller, Seong-Whan Lee
2017	—	`conf`	The P300 BCI: on its Way to End-Users? GBCIC Andrea Kübler, Klaus-Robert Müller, Cuntai Guan
2017	—	`conf`	Understanding and Comparing Deep Neural Networks for Age and Gender Classification. ICCV Workshops Wojciech Samek, Alexander Binder, Sebastian Lapuschkin, Klaus-Robert Müller
2017	J	`jnl`	Understanding and Comparing Deep Neural Networks for Age and Gender Classification. CoRR Sebastian Lapuschkin, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
2017	—	`conf`	Welcome message from the general chairs. BCI Seong-Whan Lee, Klaus-Robert Müller
2017	—	`conf`	Why build an integrated EEG-NIRS? About the advantages of hybrid bio-acquisition hardware. EMBC Alexander von Lühmann, Klaus-Robert Müller
2016	J	`jnl`	"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach. CoRR Leila Arras, Franziska Horn, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2016	—	`conf`	A better metric in kernel adaptive filtering. EUSIPCO Airi Takeuchi, Masahiro Yukawa, Klaus-Robert Müller
2016	B	`conf`	Alternative CSP approaches for multimodal distributed BCI data. SMC Stephanie Brandl, Klaus-Robert Müller, Wojciech Samek
2016	A*	`conf`	Analyzing Classifiers: Fisher Vectors and Deep Neural Networks. CVPR Sebastian Lapuschkin, Alexander Binder, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	Analyzing neuroimaging data with subclasses: A shrinkage approach. NeuroImage Johannes Höhne, Daniel Bartz, Martin N. Hebart, Klaus-Robert Müller, Benjamin Blankertz
2016	C	`conf`	Block adaptive selection of multiple core transforms for video coding. PCS Santiago De-Luxán-Hernández, Detlev Marpe, Heiko Schwarz, Klaus-Robert Müller, Mathias Wien, Jens-Rainer Ohm, Thomas Wiegand
2016	B	`conf`	Brain-Computer Interfacing for multimedia quality assessment. SMC Sebastian Bosse, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek
2016	J	`jnl`	By-passing the Kohn-Sham equations with machine learning. CoRR Felix Brockherde, Li Li, Kieron Burke, Klaus-Robert Müller
2016	J	`jnl`	Controlling Explanatory Heatmap Resolution and Semantics via Decomposition Depth. CoRR Sebastian Bach, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
2016	B	`conf`	Controlling explanatory heatmap resolution and semantics via decomposition depth. ICIP Sebastian Bach, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment. CoRR Sebastian Bosse, Dominique Maniry, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek
2016	—	`conf`	Explaining Predictions of Non-Linear Classifiers in NLP. Rep4NLP@ACL Leila Arras, Franziska Horn, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	Explaining Predictions of Non-Linear Classifiers in NLP. CoRR Leila Arras, Franziska Horn, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	Feature Importance Measure for Non-linear Learning Algorithms. CoRR Marina M.-C. Vidovic, Nico Görnitz, Klaus-Robert Müller, Marius Kloft
2016	—	`conf`	Identifying Individual Facial Expressions by Deconstructing a Neural Network. GCPR Farhad Arbabzadah, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	Identifying individual facial expressions by deconstructing a neural network. CoRR Farhad Arbabzadah, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	Interpretable Deep Neural Networks for Single-Trial EEG Classification. CoRR Irene Sturm, Sebastian Bach, Wojciech Samek, Klaus-Robert Müller
2016	J	`jnl`	Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation. CoRR Wojciech Samek, Grégoire Montavon, Alexander Binder, Sebastian Lapuschkin, Klaus-Robert Müller
2016	J	`jnl`	Investigating the influence of noise and distractors on the interpretation of neural networks. CoRR Pieter-Jan Kindermans, Kristof Schütt, Klaus-Robert Müller, Sven Dähne
2016	J	`jnl`	Language Detection For Short Text Messages In Social Media. CoRR Ivana Balazevic, Mikio Ludwig Braun, Klaus-Robert Müller
2016	—	`conf`	Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers. ICANN (2) Alexander Binder, Grégoire Montavon, Sebastian Lapuschkin, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers. CoRR Alexander Binder, Grégoire Montavon, Sebastian Bach, Klaus-Robert Müller, Wojciech Samek
2016	—	`conf`	Machine learning for BCI: towards analysing cognition. BCI Klaus-Robert Müller
2016	J	`jnl`	Multiscale temporal neural dynamics predict performance in a complex sensorimotor task. NeuroImage Wojciech Samek, Duncan A. J. Blythe, Gabriel Curio, Klaus-Robert Müller, Benjamin Blankertz, Vadim V. Nikulin
2016	J	`jnl`	N-ary Error Correcting Coding Scheme. CoRR Joey Tianyi Zhou, Ivor W. Tsang, Shen-Shyang Ho, Klaus-Robert Müller
2016	C	`conf`	Neural network-based full-reference image quality assessment. PCS Sebastian Bosse, Dominique Maniry, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek
2016	J	`jnl`	Sharing Hash Codes for Multiple Purposes. CoRR Wikor Pronobis, Danny Panknin, Johannes Kirschnick, Vignesh Srinivasan, Wojciech Samek, Volker Markl, Manohar Kaul, Klaus-Robert Müller, Shinichi Nakajima
2016	J	`jnl`	The LDA beamformer: Optimal estimation of ERP source time series using linear discriminant analysis. NeuroImage Matthias Sebastian Treder, Anne K. Porbadnigk, Forooz Shahbazi Avarvand, Klaus-Robert Müller, Benjamin Blankertz
2016	J	`jnl`	The LRP Toolbox for Artificial Neural Networks. J. Mach. Learn. Res. Sebastian Lapuschkin, Alexander Binder, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	Validity of Time Reversal for Testing Granger Causality. IEEE Trans. Signal Process. Irene Winkler, Danny Panknin, Daniel Bartz, Klaus-Robert Müller, Stefan Haufe
2016	—	`conf`	Wasserstein Training of Restricted Boltzmann Machines. NIPS Grégoire Montavon, Klaus-Robert Müller, Marco Cuturi
2016	J	`jnl`	Why Does a Hilbertian Metric Work Efficiently in Online Learning With Kernels? IEEE Signal Process. Lett. Masahiro Yukawa, Klaus-Robert Müller
2016	J	`jnl`	Zero Shot Learning for Semantic Boundary Detection - How Far Can We Get? CoRR Jing Yu Koh, Wojciech Samek, Klaus-Robert Müller, Alexander Binder
2015	—	`conf`	A kernel-based statistical analysis of the residual error in video coding. IWSSIP Santiago De-Luxán-Hernández, Detlev Marpe, Klaus-Robert Müller, Thomas Wiegand
2015	J	`jnl`	Analyzing Classifiers: Fisher Vectors and Deep Neural Networks. CoRR Sebastian Bach, Alexander Binder, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2015	—	`conf`	Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment. NER Stephanie Brandl, Johannes Höhne, Klaus-Robert Müller, Wojciech Samek
2015	—	`conf`	Classifying directions in continuous arm movement from EEG signals. BCI Jeong-Seok Woo, Klaus-Robert Müller, Seong-Whan Lee
2015	J	`jnl`	Evaluating the visualization of what a Deep Neural Network has learned. CoRR Wojciech Samek, Alexander Binder, Grégoire Montavon, Sebastian Bach, Klaus-Robert Müller
2015	J	`jnl`	Explaining NonLinear Classification Decisions with Deep Taylor Decomposition. CoRR Grégoire Montavon, Sebastian Bach, Alexander Binder, Wojciech Samek, Klaus-Robert Müller
2015	J	`jnl`	Extracting latent brain states - Towards true labels in cognitive neuroscience experiments. NeuroImage Anne K. Porbadnigk, Nico Görnitz, Claudia Sannelli, Alexander Binder, Mikio L. Braun, Marius Kloft, Klaus-Robert Müller
2015	—	`conf`	Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information. PRNI Sofie Therese Hansen, Irene Winkler, Lars Kai Hansen, Klaus-Robert Müller, Sven Dähne
2015	J	`jnl`	Identifying Granger causal relationships between neural power dynamics and variables of interest. NeuroImage Irene Winkler, Stefan Haufe, Anne K. Porbadnigk, Klaus-Robert Müller, Sven Dähne
2015	—	`conf`	Investigating effects of different artefact types on motor imagery BCI. EMBC Laura Frølich, Irene Winkler, Klaus-Robert Müller, Wojciech Samek
2015	J	`jnl`	Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces. Proc. IEEE Siamac Fazli, Sven Dähne, Wojciech Samek, Felix Bießmann, Klaus-Robert Müller
2015	—	`conf`	Machine learning and BCI. BCI Klaus-Robert Müller
2015	J	`jnl`	Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data. Proc. IEEE Sven Dähne, Felix Bießmann, Wojciech Samek, Stefan Haufe, Dominique Goltz, Christopher Gundlach, Arno Villringer, Siamac Fazli, Klaus-Robert Müller
2015	—	`conf`	On the influence of high-pass filtering on ICA-based artifact reduction in EEG-ERP. EMBC Irene Winkler, Stefan Debener, Klaus-Robert Müller, Michael Tangermann
2015	—	`conf`	Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithms. ECML/PKDD (2) Marina M.-C. Vidovic, Nico Görnitz, Klaus-Robert Müller, Gunnar Rätsch, Marius Kloft
2015	—	`conf`	Robust common spatial patterns based on Bhattacharyya distance and Gamma divergence. BCI Stephanie Brandl, Klaus-Robert Müller, Wojciech Samek
2015	—	`conf`	Tackling noise, artifacts and nonstationarity in BCI with robust divergences. EUSIPCO Wojciech Samek, Klaus-Robert Müller
2015	J	`jnl`	The Plurality of Human Brain-Computer Interfacing [Scanning the Issue]. Proc. IEEE Gernot R. Müller-Putz, José del R. Millán, Gerwin Schalk, Klaus-Robert Müller
2015	J	`jnl`	Towards Noninvasive Hybrid Brain-Computer Interfaces: Framework, Practice, Clinical Application, and Beyond. Proc. IEEE Gernot R. Müller-Putz, Robert Leeb, Michael Tangermann, Johannes Höhne, Andrea Kübler, Febo Cincotti, Donatella Mattia, Rüdiger Rupp, Klaus-Robert Müller, José del R. Millán
2015	J	`jnl`	Understanding Kernel Ridge Regression: Common behaviors from simple functions to density functionals. CoRR Kevin Vu, John C. Snyder, Li Li, Matthias Rupp, Brandon F. Chen, Tarek Khelif, Klaus-Robert Müller, Kieron Burke
2015	J	`jnl`	Wasserstein Training of Boltzmann Machines. CoRR Grégoire Montavon, Klaus-Robert Müller, Marco Cuturi
2014	—	`conf`	Channel selection for simultaneous myoelectric prosthesis control. BCI Han-Jeong Hwang, Janne Mathias Hahne, Klaus-Robert Müller
2014	—	`conf`	Covariance shrinkage for autocorrelated data. NIPS Daniel Bartz, Klaus-Robert Müller
2014	—	`conf`	Covariate shift adaptation in EMG pattern recognition for prosthetic device control. EMBC Marina M.-C. Vidovic, Liliana P. Paredes, Han-Jeong Hwang, Sebastian Amsüss, Jaspar Pahl, Janne Mathias Hahne, Bernhard Graimann, Dario Farina, Klaus-Robert Müller
2014	—	`conf`	Data-driven multisubject neuroimaging analyses for naturalistic stimuli. PRNI Felix Bießmann, Michael Gaebler, Jan-Peter Lamke, Ui Jong Ju, Stefan Hetzer, Christian Wallraven, Klaus-Robert Müller
2014	J	`jnl`	Efficient Algorithms for Exact Inference in Sequence Labeling SVMs. IEEE Trans. Neural Networks Learn. Syst. Alexander Bauer, Nico Görnitz, Franziska Biegler, Klaus-Robert Müller, Marius Kloft
2014	J	`jnl`	Finding brain oscillations with power dependencies in neuroimaging data. NeuroImage Sven Dähne, Vadim V. Nikulin, David Ramírez, Peter J. Schreier, Klaus-Robert Müller, Stefan Haufe
2014	—	`conf`	Information geometry meets BCI spatial filtering using divergences. BCI Wojciech Samek, Klaus-Robert Müller
2014	A	`conf`	Learning and Evaluation in Presence of Non-i.i.d. Label Noise. AISTATS Nico Görnitz, Anne Porbadnigk, Alexander Binder, Claudia Sannelli, Mikio L. Braun, Klaus-Robert Müller, Marius Kloft
2014	J	`jnl`	Learning with Algebraic Invariances, and the Invariant Kernel Trick. CoRR Franz J. Király, Andreas Ziehe, Klaus-Robert Müller
2014	—	`ch.`	Machine Learning for Visual Concept Recognition and Ranking for Images. Towards the Internet of Services Alexander Binder, Wojciech Samek, Klaus-Robert Müller, Motoaki Kawanabe
2014	—	`conf`	Mean shrinkage improves the classification of ERP signals by exploiting additional label information. PRNI Johannes Höhne, Benjamin Blankertz, Klaus-Robert Müller, Daniel Bartz
2014	—	`conf`	Multimodal imaging, non-stationarity and BCI. BCI Klaus-Robert Müller
2014	—	`conf`	Multimodal integration of electrophysiological and hemodynamic signals. BCI Sven Dähne, Felix Bießmann, Frank C. Meinecke, Jan Mehnert, Siamac Fazli, Klaus-Robert Müller
2014	B	`conf`	Neurally informed assessment of perceived natural texture image quality. ICIP Sebastian Bosse, Laura Acqualagna, Anne K. Porbadnigk, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller, Thomas Wiegand
2014	—	`conf`	Optimizing spatial filters for the extraction of envelope-coupled neural oscillations. PRNI Sven Dähne, Vadim V. Nikulin, David Ramírez, Peter J. Schreier, Klaus-Robert Müller, Stefan Haufe
2014	J	`jnl`	Robust Common Spatial Filters with a Maxmin Approach. Neural Comput. Motoaki Kawanabe, Wojciech Samek, Klaus-Robert Müller, Carmen Vidaurre
2014	J	`jnl`	SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters. NeuroImage Sven Dähne, Frank C. Meinecke, Stefan Haufe, Johannes Höhne, Michael Tangermann, Klaus-Robert Müller, Vadim V. Nikulin
2014	J	`jnl`	Stereoscopic depth increases intersubject correlations of brain networks. NeuroImage Michael Gaebler, Felix Bießmann, Jan-Peter Lamke, Klaus-Robert Müller, Henrik Walter, Stefan Hetzer
2014	J	`jnl`	The effect of linear mixing in the EEG on Hurst exponent estimation. NeuroImage Duncan A. J. Blythe, Stefan Haufe, Klaus-Robert Müller, Vadim V. Nikulin
2014	—	`conf`	Toward exoskeleton control based on steady state visual evoked potentials. BCI No-Sang Kwak, Klaus-Robert Müller, Seong-Whan Lee
2014	—	`conf`	Towards an enhanced ERP speller based on the visual processing of face familiarity. EMBC Seul-Ki Yeom, Siamac Fazli, Klaus-Robert Müller, Seong-Whan Lee
2014	J	`jnl`	Understanding Machine-learned Density Functionals. CoRR Li Li, John C. Snyder, Isabelle M. Pelaschier, Jessica Huang, Uma-Naresh Niranjan, Paul Duncan, Matthias Rupp, Klaus-Robert Müller, Kieron Burke
2014	—	`conf`	When brain and behavior disagree: Tackling systematic label noise in EEG data with machine learning. BCI Anne K. Porbadnigk, Nico Görnitz, Claudia Sannelli, Alexander Binder, Mikio L. Braun, Marius Kloft, Klaus-Robert Müller
2013	J	`jnl`	A critical assessment of connectivity measures for EEG data: A simulation study. NeuroImage Stefan Haufe, Vadim V. Nikulin, Klaus-Robert Müller, Guido Nolte
2013	J	`jnl`	Analyzing Local Structure in Kernel-Based Learning: Explanation, Complexity, and Reliability Assessment. IEEE Signal Process. Mag. Grégoire Montavon, Mikio L. Braun, Tammo Krueger, Klaus-Robert Müller
2013	J	`jnl`	Decoding Brain States during Auditory Perception by Supervising Unsupervised Learning. J. Comput. Sci. Eng. Anne Porbadnigk, Nico Görnitz, Marius Kloft, Klaus-Robert Müller
2013	—	`conf`	Decoding cognitive brain states. BCI Anne K. Porbadnigk, Matthias Sebastian Treder, Siamac Fazli, Michael Tangermann, Carmen Vidaurre, Stefan Haufe, Gabriel Curio, Benjamin Blankertz, Klaus-Robert Müller
2013	J	`jnl`	Enhanced representation and multi-task learning for image annotation. Comput. Vis. Image Underst. Alexander Binder, Wojciech Samek, Klaus-Robert Müller, Motoaki Kawanabe
2013	—	`conf`	Generalizing Analytic Shrinkage for Arbitrary Covariance Structures. NIPS Daniel Bartz, Klaus-Robert Müller
2013	J	`jnl`	Integration of Multivariate Data Streams With Bandpower Signals. IEEE Trans. Multim. Sven Dähne, Felix Bießmann, Frank C. Meinecke, Jan Mehnert, Siamac Fazli, Klaus-Robert Müller
2013	—	`conf`	Kernels, Pre-images and Optimization. Empirical Inference John C. Snyder, Sebastian Mika, Kieron Burke, Klaus-Robert Müller
2013	—	`conf`	Multimodal imaging technique for rapid response brain-computer interface feedback. BCI Seul-Ki Yeom, Siamac Fazli, Jan Mehnert, Benjamin Blankertz, Jens Steinbrink, Klaus-Robert Müller, Seong-Whan Lee
2013	—	`conf`	Multiple Kernel Learning for Brain-Computer Interfacing. EMBC Wojciech Samek, Alexander Binder, Klaus-Robert Müller
2013	—	`conf`	Robust Spatial Filtering with Beta Divergence. NIPS Wojciech Samek, Duncan A. J. Blythe, Klaus-Robert Müller, Motoaki Kawanabe
2013	J	`jnl`	Special Issue on Advances in Kernel-Based Learning for Signal Processing [From the Guest Editors]. IEEE Signal Process. Mag. Klaus-Robert Müller, Tülay Adali, Kenji Fukumizu, José C. Príncipe, Sergios Theodoridis
2013	J	`jnl`	Transferring Subspaces Between Subjects in Brain-Computer Interfacing. IEEE Trans. Biomed. Eng. Wojciech Samek, Frank C. Meinecke, Klaus-Robert Müller
2013	—	`conf`	Tutorial on multimodal neuroimaging for brain-computer interfacing. BCI Siamac Fazli, Klaus-Robert Müller, Seong-Whan Lee, Benjamin Blankertz
2012	J	`jnl`	Algebraic Geometric Comparison of Probability Distributions. J. Mach. Learn. Res. Franz J. Király, Paul von Bünau, Frank C. Meinecke, Duncan A. J. Blythe, Klaus-Robert Müller
2012	—	`conf`	An Algebraic Method for Approximate Rank One Factorization of Rank Deficient Matrices. LVA/ICA Franz J. Király, Andreas Ziehe, Klaus-Robert Müller
2012	—	`ch.`	Better Representations: Invariant, Disentangled and Reusable. Neural Networks: Tricks of the Trade (2nd ed.) Grégoire Montavon, Klaus-Robert Müller
2012	—	`ch.`	Big Learning and Deep Neural Networks. Neural Networks: Tricks of the Trade (2nd ed.) Grégoire Montavon, Klaus-Robert Müller
2012	—	`conf`	Brain-computer interfacing in discriminative and stationary subspaces. EMBC Wojciech Samek, Klaus-Robert Müller, Motoaki Kawanabe, Carmen Vidaurre
2012	—	`conf`	Common Spatial Pattern Patches: Online evaluation on BCI-naive users. EMBC Claudia Sannelli, Carmen Vidaurre, Klaus-Robert Müller, Benjamin Blankertz
2012	—	`ch.`	Deep Boltzmann Machines and the Centering Trick. Neural Networks: Tricks of the Trade (2nd ed.) Grégoire Montavon, Klaus-Robert Müller
2012	A	`conf`	Deep Boltzmann Machines as Feed-Forward Hierarchies. AISTATS Grégoire Montavon, Mikio L. Braun, Klaus-Robert Müller
2012	—	`ch.`	Efficient BackProp. Neural Networks: Tricks of the Trade (2nd ed.) Yann LeCun, Léon Bottou, Genevieve B. Orr, Klaus-Robert Müller
2012	J	`jnl`	Enhanced performance by a hybrid NIRS-EEG brain computer interface. NeuroImage Siamac Fazli, Jan Mehnert, Jens Steinbrink, Gabriel Curio, Arno Villringer, Klaus-Robert Müller, Benjamin Blankertz
2012	J	`jnl`	Feature Extraction for Change-Point Detection Using Stationary Subspace Analysis. IEEE Trans. Neural Networks Learn. Syst. Duncan A. J. Blythe, Paul von Bünau, Frank C. Meinecke, Klaus-Robert Müller
2012	—	`conf`	First study towards linear control of an upper-limb neuroprosthesis with an EEG-based Brain-Computer Interface. EMBC Javier Pascual, Francisco Velasco-Álvarez, Klaus-Robert Müller, Carmen Vidaurre
2012	—	`ch.`	Identifying Dynamical Systems for Forecasting and Control. Neural Networks: Tricks of the Trade (2nd ed.) Grégoire Montavon, Klaus-Robert Müller
2012	J	`jnl`	Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions. NeuroImage Felix Bießmann, Yusuke Murayama, Nikos K. Logothetis, Klaus-Robert Müller, Frank C. Meinecke
2012	—	`ch.`	Improving Network Models and Algorithmic Tricks. Neural Networks: Tricks of the Trade (2nd ed.) Klaus-Robert Müller
2012	—	`ch.`	Introduction. Neural Networks: Tricks of the Trade (2nd ed.) Klaus-Robert Müller
2012	J	`jnl`	Learning Feature Hierarchies with Centered Deep Boltzmann Machines CoRR Grégoire Montavon, Klaus-Robert Müller
2012	—	`conf`	Learning Invariant Representations of Molecules for Atomization Energy Prediction. NIPS Grégoire Montavon, Katja Hansen, Siamac Fazli, Matthias Rupp, Franziska Biegler, Andreas Ziehe, Alexandre Tkatchenko, O. Anatole von Lilienfeld, Klaus-Robert Müller
2012	J	`jnl`	Modeling of molecular atomization energies using machine learning. J. Cheminformatics Matthias Rupp, Alexandre Tkatchenko, Klaus-Robert Müller, O. Anatole von Lilienfeld
2012	J	`jnl`	Myoelectric Control of Artificial Limbs¿Is There a Need to Change Focus? [In the Spotlight]. IEEE Signal Process. Mag. Ning Jiang, Strahinja Dosen, Klaus-Robert Müller, Dario Farina
2012	—	`book`	Neural Networks: Tricks of the Trade - Second Edition Neural Networks: Tricks of the Trade (2nd ed.) Grégoire Montavon, Genevieve B. Orr, Klaus-Robert Müller
2012	J	`jnl`	On Taxonomies for Multi-class Image Categorization. Int. J. Comput. Vis. Alexander Binder, Klaus-Robert Müller, Motoaki Kawanabe
2012	—	`conf`	Quantifying spatiotemporal dynamics of twitter replies to news feeds. MLSP Felix Bießmann, Jens-Michalis Papaioannou, Andreas Harth, M. L. Jugel, Klaus-Robert Müller, Mikio L. Braun
2012	A	`conf`	Regression for sets of polynomial equations. AISTATS Franz J. Király, Paul von Bünau, Jan Saputra Müller, Duncan A. J. Blythe, Frank C. Meinecke, Klaus-Robert Müller
2012	—	`ch.`	Regularization Techniques to Improve Generalization. Neural Networks: Tricks of the Trade (2nd ed.) Klaus-Robert Müller
2012	—	`ch.`	Representing and Incorporating Prior Knowledge in Neural Network Training. Neural Networks: Tricks of the Trade (2nd ed.) Klaus-Robert Müller
2012	—	`conf`	Simultaneous and proportional control of 2D wrist movements with myoelectric signals. MLSP Janne Mathias Hahne, Hubertus Rehbaum, Felix Bießmann, Frank C. Meinecke, Klaus-Robert Müller, Ning Jiang, Dario Farina, Lucas C. Parra
2012	J	`jnl`	Spatial Filtering for Robust Myoelectric Control. IEEE Trans. Biomed. Eng. Janne Mathias Hahne, Bernhard Graimann, Klaus-Robert Müller
2012	—	`ch.`	Speeding Learning. Neural Networks: Tricks of the Trade (2nd ed.) Klaus-Robert Müller
2012	J	`jnl`	Toward a Direct Measure of Video Quality Perception Using EEG. IEEE Trans. Image Process. Simon Scholler, Sebastian Bosse, Matthias Sebastian Treder, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller, Thomas Wiegand
2012	J	`jnl`	Transferring Subspaces Between Subjects in Brain-Computer Interfacing CoRR Wojciech Samek, Frank C. Meinecke, Klaus-Robert Müller
2012	—	`ch.`	Tricks for Time Series. Neural Networks: Tricks of the Trade (2nd ed.) Klaus-Robert Müller
2011	—	`conf`	A new scatter-based multi-class support vector machine. MLSP Robert Jenssen, Marius Kloft, Sören Sonnenburg, Alexander Zien, Klaus-Robert Müller
2011	J	`jnl`	Directional Variance Adjustment: a novel covariance estimator for high dimensional portfolio optimization CoRR Daniel Bartz, Kerr Hatrick, Christian W. Hesse, Klaus-Robert Müller, Steven Lemm
2011	J	`jnl`	Feature Extraction for Change-Point Detection using Stationary Subspace Analysis CoRR Duncan A. J. Blythe, Paul von Bünau, Frank C. Meinecke, Klaus-Robert Müller
2011	J	`jnl`	Finding Density Functionals with Machine Learning CoRR John C. Snyder, Matthias Rupp, Katja Hansen, Klaus-Robert Müller, Kieron Burke
2011	J	`jnl`	Insights from Classifying Visual Concepts with Multiple Kernel Learning CoRR Alexander Binder, Shinichi Nakajima, Marius Kloft, Christina Müller, Wojciech Samek, Ulf Brefeld, Klaus-Robert Müller, Motoaki Kawanabe
2011	J	`jnl`	Introduction to machine learning for brain imaging. NeuroImage Steven Lemm, Benjamin Blankertz, Thorsten Dickhaus, Klaus-Robert Müller
2011	J	`jnl`	Kernel Analysis of Deep Networks. J. Mach. Learn. Res. Grégoire Montavon, Mikio L. Braun, Klaus-Robert Müller
2011	J	`jnl`	Large-scale EEG/MEG source localization with spatial flexibility. NeuroImage Stefan Haufe, Ryota Tomioka, Thorsten Dickhaus, Claudia Sannelli, Benjamin Blankertz, Guido Nolte, Klaus-Robert Müller
2011	J	`jnl`	Machine-Learning-Based Coadaptive Calibration for Brain-Computer Interfaces. Neural Comput. Carmen Vidaurre, Claudia Sannelli, Klaus-Robert Müller, Benjamin Blankertz
2011	—	`conf`	Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information. MLINI Felix Bießmann, Yusuke Murayama, Nikos K. Logothetis, Klaus-Robert Müller, Frank C. Meinecke
2011	—	`conf`	Pitfalls in EEG-Based Brain Effective Connectivity Analysis. MLINI Stefan Haufe, Vadim V. Nikulin, Guido Nolte, Klaus-Robert Müller
2011	—	`conf`	Revealing the neural response to imperceptible peripheral flicker with machine learning. EMBC Anne K. Porbadnigk, Simon Scholler, Benjamin Blankertz, Arnd Ritz, Matthias Born, Robert Scholl, Klaus-Robert Müller, Gabriel Curio, Matthias Sebastian Treder
2011	J	`jnl`	Single-trial analysis and classification of ERP components - A tutorial. NeuroImage Benjamin Blankertz, Steven Lemm, Matthias Sebastian Treder, Stefan Haufe, Klaus-Robert Müller
2011	J	`jnl`	StructRank: A New Approach for Ligand-Based Virtual Screening. J. Chem. Inf. Model. Fabian Rathke, Katja Hansen, Ulf Brefeld, Klaus-Robert Müller
2011	—	`conf`	The Joint Submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the ImageCLEF2011 Photo Annotation Task. CLEF (Notebook Papers/Labs/Workshop) Alexander Binder, Wojciech Samek, Marius Kloft, Christina Müller, Klaus-Robert Müller, Motoaki Kawanabe
2011	J	`jnl`	The Stationary Subspace Analysis Toolbox. J. Mach. Learn. Res. Jan Saputra Müller, Paul von Bünau, Frank C. Meinecke, Franz J. Király, Klaus-Robert Müller
2011	J	`jnl`	Toward Unsupervised Adaptation of LDA for Brain-Computer Interfaces. IEEE Trans. Biomed. Eng. Carmen Vidaurre, Motoaki Kawanabe, Paul von Bünau, Benjamin Blankertz, Klaus-Robert Müller
2011	J	`jnl`	Uniqueness of Non-Gaussianity-Based Dimension Reduction. IEEE Trans. Signal Process. Fabian J. Theis, Motoaki Kawanabe, Klaus-Robert Müller
2011	—	`conf`	ℓ ICANN (1) Siamac Fazli, Márton Danóczy, Jürg Schelldorfer, Klaus-Robert Müller
2011	J	`jnl`	ℓ NeuroImage Siamac Fazli, Márton Danóczy, Jürg Schelldorfer, Klaus-Robert Müller
2010	J	`jnl`	A regularized discriminative framework for EEG analysis with application to brain-computer interface. NeuroImage Ryota Tomioka, Klaus-Robert Müller
2010	J	`jnl`	Applicability Domains for Classification Problems: Benchmarking of Distance to Models for Ames Mutagenicity Set. J. Chem. Inf. Model. Iurii Sushko, Sergii Novotarskyi, Robert Körner, Anil Kumar Pandey, Artem Cherkasov, Jiazhong Li, Paola Gramatica, Katja Hansen, Timon Schroeter, Klaus-Robert Müller, Lili Xi, Huanxiang Liu, Xiaojun Yao, Tomas Öberg, Farhad Hormozdiari, Phuong Dao, Süleyman Cenk Sahinalp, Roberto Todeschini, Pavel G. Polishchuk, Anatoly G. Artemenko, Victor Kuzmin, Todd M. Martin, Douglas M. Young, Denis Fourches, Eugene N. Muratov, Alexander Tropsha, Igor I. Baskin, Dragos Horvath, Gilles Marcou, Christophe Muller, Alexandre Varnek, Volodymyr V. Prokopenko, Igor V. Tetko
2010	J	`jnl`	Approximate Tree Kernels. J. Mach. Learn. Res. Konrad Rieck, Tammo Krueger, Ulf Brefeld, Klaus-Robert Müller
2010	—	`conf`	Comparison of Granger Causality and Phase Slope Index. NIPS Causality: Objectives and Assessment Guido Nolte, Andreas Ziehe, Nicole Krämer, Florin Popescu, Klaus-Robert Müller
2010	J	`jnl`	How to Explain Individual Classification Decisions. J. Mach. Learn. Res. David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller
2010	J	`jnl`	Kernel learning for ligand-based virtual screening: discovery of a new PPARγ agonist. J. Cheminformatics Matthias Rupp, Timon Schroeter, Ramona Steri, Ewgenij Proschak, Katja Hansen, Heiko Zettl, Oliver Rau, Manfred Schubert-Zsilavecz, Klaus-Robert Müller, Gisbert Schneider
2010	—	`conf`	Layer-wise analysis of deep networks with Gaussian kernels. NIPS Grégoire Montavon, Mikio L. Braun, Klaus-Robert Müller
2010	—	`conf`	Machine-Learning Based Co-adaptive Calibration: A Perspective to Fight BCI Illiteracy. HAIS (1) Carmen Vidaurre, Claudia Sannelli, Klaus-Robert Müller, Benjamin Blankertz
2010	J	`jnl`	Modeling Sparse Connectivity Between Underlying Brain Sources for EEG/MEG. IEEE Trans. Biomed. Eng. Stefan Haufe, Ryota Tomioka, Guido Nolte, Klaus-Robert Müller, Motoaki Kawanabe
2010	J	`jnl`	Neurophysiological predictor of SMR-based BCI performance. NeuroImage Benjamin Blankertz, Claudia Sannelli, Sebastian Halder, Eva M. Hammer, Andrea Kübler, Klaus-Robert Müller, Gabriel Curio, Thorsten Dickhaus
2010	J	`jnl`	Pyff - A Pythonic Framework for Feedback Applications and Stimulus Presentation in Neuroscience. Frontiers Neuroinformatics Bastian Venthur, Simon Scholler, John Williamson, Sven Dähne, Matthias Sebastian Treder, Maria T. Kramarek, Klaus-Robert Müller, Benjamin Blankertz
2010	—	`conf`	Sparse Causal Discovery in Multivariate Time Series. NIPS Causality: Objectives and Assessment Stefan Haufe, Klaus-Robert Müller, Guido Nolte, Nicole Krämer
2010	J	`jnl`	Temporal kernel CCA and its application in multimodal neuronal data analysis. Mach. Learn. Felix Bießmann, Frank C. Meinecke, Arthur Gretton, Alexander Rauch, Gregor Rainer, Nikos K. Logothetis, Klaus-Robert Müller
2010	—	`ch.`	Using Rest Class and Control Paradigms for Brain Computer Interfacing. Brain-Computer Interfaces Siamac Fazli, Márton Danóczy, Florin Popescu, Benjamin Blankertz, Klaus-Robert Müller
2009	J	`jnl`	A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization. PLoS Comput. Biol. Steven Lemm, Klaus-Robert Müller, Gabriel Curio
2009	—	`conf`	A Maxmin Approach to Optimize Spatial Filters for EEG Single-Trial Classification. IWANN (1) Motoaki Kawanabe, Carmen Vidaurre, Benjamin Blankertz, Klaus-Robert Müller
2009	J	`jnl`	Benchmark Data Set for in Silico Prediction of Ames Mutagenicity. J. Chem. Inf. Model. Katja Hansen, Sebastian Mika, Timon Schroeter, Andreas Sutter, Antonius ter Laak, Thomas Steger-Hartmann, Nikolaus Heinrich, Klaus-Robert Müller
2009	J	`jnl`	Designing for uncertain, asymmetric control: Interaction design for brain-computer interfaces. Int. J. Hum. Comput. Stud. John Williamson, Roderick Murray-Smith, Benjamin Blankertz, Matthias Krauledat, Klaus-Robert Müller
2009	—	`conf`	Efficient and Accurate Lp-Norm Multiple Kernel Learning. NIPS Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Klaus-Robert Müller, Alexander Zien
2009	J	`jnl`	How to Explain Individual Classification Decisions CoRR David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller
2009	J	`jnl`	Improving BCI performance by task-related trial pruning. Neural Networks Claudia Sannelli, Mikio L. Braun, Klaus-Robert Müller
2009	—	`conf`	Learning invariances with Stationary Subspace Analysis. ICCV Workshops Frank C. Meinecke, Paul von Bünau, Motoaki Kawanabe, Klaus-Robert Müller
2009	J	`jnl`	Recent advances in brain-machine interfaces. Neural Networks Tadashi Isa, Eberhard E. Fetz, Klaus-Robert Müller
2009	J	`jnl`	Securing IMS against novel threats. Bell Labs Tech. J. Stefan Wahl, Konrad Rieck, Pavel Laskov, Peter Domschitz, Klaus-Robert Müller
2009	—	`conf`	Stationary Subspace Analysis. ICA Paul von Bünau, Frank C. Meinecke, Klaus-Robert Müller
2009	—	`conf`	Subject independent EEG-based BCI decoding. NIPS Siamac Fazli, Cristian Grozea, Márton Danóczy, Benjamin Blankertz, Florin Popescu, Klaus-Robert Müller
2009	J	`jnl`	Subject-independent mental state classification in single trials. Neural Networks Siamac Fazli, Florin Popescu, Márton Danóczy, Benjamin Blankertz, Klaus-Robert Müller, Cristian Grozea
2009	—	`conf`	Using Rest Class and Control Paradigms for Brain Computer Interfacing. IWANN (1) Siamac Fazli, Márton Danóczy, Florin Popescu, Benjamin Blankertz, Klaus-Robert Müller
2008	J	`jnl`	A Probabilistic Approach to Classifying Metabolic Stability. J. Chem. Inf. Model. Anton Schwaighofer, Timon Schroeter, Sebastian Mika, Katja Hansen, Antonius ter Laak, Philip Lienau, Andreas Reichel, Nikolaus Heinrich, Klaus-Robert Müller
2008	—	`conf`	A Self-learning System for Detection of Anomalous SIP Messages. IPTComm Konrad Rieck, Stefan Wahl, Pavel Laskov, Peter Domschitz, Klaus-Robert Müller
2008	J	`jnl`	Approximating the Best Linear Unbiased Estimator of Non-Gaussian Signals with Gaussian Noise. IEICE Trans. Inf. Syst. Masashi Sugiyama, Motoaki Kawanabe, Gilles Blanchard, Klaus-Robert Müller
2008	J	`jnl`	Brain-Computer Interfaces [from the guest editors]. IEEE Signal Process. Mag. Paul Sajda, Klaus-Robert Müller, Krishna V. Shenoy
2008	J	`jnl`	Brain-Computer Interfacing for Intelligent Systems. IEEE Intell. Syst. Anton Nijholt, Desney S. Tan, Gert Pfurtscheller, Clemens Brunner, José del R. Millán, Brendan Z. Allison, Bernhard Graimann, Florin Popescu, Benjamin Blankertz, Klaus-Robert Müller
2008	J	`jnl`	Combining sparsity and rotational invariance in EEG/MEG source reconstruction. NeuroImage Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Klaus-Robert Müller, Guido Nolte
2008	—	`conf`	Estimating vector fields using sparse basis field expansions. NIPS Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Klaus-Robert Müller, Guido Nolte
2008	J	`jnl`	On Relevant Dimensions in Kernel Feature Spaces. J. Mach. Learn. Res. Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller
2008	J	`jnl`	Optimizing Spatial filters for Robust EEG Single-Trial Analysis. IEEE Signal Process. Mag. Benjamin Blankertz, Ryota Tomioka, Steven Lemm, Motoaki Kawanabe, Klaus-Robert Müller
2008	—	`conf`	Playing Pinball with non-invasive BCI. NIPS Michael Tangermann, Matthias Krauledat, Konrad Grzeska, Max Sagebaum, Benjamin Blankertz, Carmen Vidaurre, Klaus-Robert Müller
2008	A*	`conf`	Stopping conditions for exact computation of leave-one-out error in support vector machines. ICML Vojtech Franc, Pavel Laskov, Klaus-Robert Müller
2008	—	`conf`	The Berlin Brain-Computer Interface. WCCI Benjamin Blankertz, Michael Tangermann, Florin Popescu, Matthias Krauledat, Siamac Fazli, Márton Dónaczy, Gabriel Curio, Klaus-Robert Müller
2008	J	`jnl`	The Berlin Brain-Computer Interface: Accurate Performance From First-Session in BCI-NaÏve Subjects. IEEE Trans. Biomed. Eng. Benjamin Blankertz, Florian Losch, Matthias Krauledat, Guido Dornhege, Gabriel Curio, Klaus-Robert Müller
2007	—	`conf`	A Note on Brain Actuated Spelling with the Berlin Brain-Computer Interface. HCI (6) Benjamin Blankertz, Matthias Krauledat, Guido Dornhege, John Williamson, Roderick Murray-Smith, Klaus-Robert Müller
2007	J	`jnl`	Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach. J. Chem. Inf. Model. Anton Schwaighofer, Timon Schroeter, Sebastian Mika, Julian Laub, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller
2007	A*	`conf`	Asymptotic Bayesian generalization error when training and test distributions are different. ICML Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama, Klaus-Robert Müller
2007	J	`jnl`	Berlin Brain-Computer Interface - The HCI communication channel for discovery. Int. J. Hum. Comput. Stud. Roman Krepki, Gabriel Curio, Benjamin Blankertz, Klaus-Robert Müller
2007	J	`jnl`	Covariate Shift Adaptation by Importance Weighted Cross Validation. J. Mach. Learn. Res. Masashi Sugiyama, Matthias Krauledat, Klaus-Robert Müller
2007	J	`jnl`	Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules. J. Comput. Aided Mol. Des. Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller
2007	J	`jnl`	Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules. J. Comput. Aided Mol. Des. Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller
2007	—	`conf`	Heterogeneous Component Analysis. NIPS Shigeyuki Oba, Motoaki Kawanabe, Klaus-Robert Müller, Shin Ishii
2007	J	`jnl`	Improving the PLoS Comput. Biol. Gunnar Rätsch, Sören Sonnenburg, Jagan Srinivasan, Hanh Witte, Klaus-Robert Müller, Ralf J. Sommer, Bernhard Schölkopf
2007	—	`conf`	Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing. NIPS Benjamin Blankertz, Motoaki Kawanabe, Ryota Tomioka, Friederike U. Hohlefeld, Vadim V. Nikulin, Klaus-Robert Müller
2007	—	`conf`	Machine Learning and Applications for Brain-Computer Interfacing. HCI (8) Klaus-Robert Müller, Matthias Krauledat, Guido Dornhege, Gabriel Curio, Benjamin Blankertz
2007	—	`conf`	Machine Learning for Intrusion Detection. NATO ASI Mining Massive Data Sets for Security Pavel Laskov, Konrad Rieck, Klaus-Robert Müller
2007	J	`jnl`	Optimal dyadic decision trees. Mach. Learn. Gilles Blanchard, Christin Schäfer, Yves Rozenholc, Klaus-Robert Müller
2007	J	`jnl`	The Berlin Brain-Computer Interface (BBCI) - towards a new communication channel for online control in gaming applications. Multim. Tools Appl. Roman Krepki, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller
2007	J	`jnl`	The Need for Open Source Software in Machine Learning. J. Mach. Learn. Res. Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Léon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Pascal Vincent, Jason Weston, Robert C. Williamson
2007	J	`jnl`	The non-invasive Berlin Brain-Computer Interface: Fast acquisition of effective performance in untrained subjects. NeuroImage Benjamin Blankertz, Guido Dornhege, Matthias Krauledat, Klaus-Robert Müller, Gabriel Curio
2006	—	`conf`	A Model Selection Method Based on Bound of Learning Coefficient. ICANN (2) Keisuke Yamazaki, Kenji Nagata, Sumio Watanabe, Klaus-Robert Müller
2006	—	`conf`	A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces. ICA Motoaki Kawanabe, Gilles Blanchard, Masashi Sugiyama, Vladimir G. Spokoiny, Klaus-Robert Müller
2006	—	`conf`	Algorithms for on-line differentiation of neuroelectric activities. EMBC (Supplement) Klaus-Robert Müller
2006	J	`jnl`	Combined Optimization of Spatial and Temporal Filters for Improving Brain-Computer Interfacing. IEEE Trans. Biomed. Eng. Guido Dornhege, Benjamin Blankertz, Matthias Krauledat, Florian Losch, Gabriel Curio, Klaus-Robert Müller
2006	J	`jnl`	Das Berliner Brain-Computer Interface. Künstliche Intell. Klaus-Robert Müller
2006	—	`conf`	Denoising and Dimension Reduction in Feature Space. NIPS Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller
2006	—	`conf`	Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels. DAGM-Symposium Konrad Rieck, Pavel Laskov, Klaus-Robert Müller
2006	J	`jnl`	Enhancing the signal-to-noise ratio of ICA-based extracted ERPs. IEEE Trans. Biomed. Eng. Steven Lemm, Gabriel Curio, Yevhen Hlushchuk, Klaus-Robert Müller
2006	J	`jnl`	From outliers to prototypes: Ordering data. Neurocomputing Stefan Harmeling, Guido Dornhege, David M. J. Tax, Frank C. Meinecke, Klaus-Robert Müller
2006	—	`conf`	Importance-Weighted Cross-Validation for Covariate Shift. DAGM-Symposium Masashi Sugiyama, Benjamin Blankertz, Matthias Krauledat, Guido Dornhege, Klaus-Robert Müller
2006	J	`jnl`	In Search of Non-Gaussian Components of a High-Dimensional Distribution. J. Mach. Learn. Res. Gilles Blanchard, Motoaki Kawanabe, Masashi Sugiyama, Vladimir G. Spokoiny, Klaus-Robert Müller
2006	J	`jnl`	Incremental Support Vector Learning: Analysis, Implementation and Applications. J. Mach. Learn. Res. Pavel Laskov, Christian Gehl, Stefan Krüger, Klaus-Robert Müller
2006	—	`conf`	Inducing Metric Violations in Human Similarity Judgements. NIPS Julian Laub, Jakob H. Macke, Klaus-Robert Müller, Felix A. Wichmann
2006	—	`conf`	Logistic Regression for Single Trial EEG Classification. NIPS Ryota Tomioka, Kazuyuki Aihara, Klaus-Robert Müller
2006	—	`conf`	Obtaining the Best Linear Unbiased Estimator of Noisy Signals by Non-Gaussian Component Analysis. ICASSP (3) Masashi Sugiyama, Motoaki Kawanabe, Gilles Blanchard, Vladimir G. Spokoiny, Klaus-Robert Müller
2006	J	`jnl`	On the information and representation of non-Euclidean pairwise data. Pattern Recognit. Julian Laub, Volker Roth, Joachim M. Buhmann, Klaus-Robert Müller
2006	—	`conf`	On-line Differentiation Of Neuroelectric Activities: Algorithms And applications. EMBC (Supplement) Matthias Krauledat, Benjamin Blankertz, Guido Dornhege, Michael Tangermann, Gabriel Curio, Klaus-Robert Müller
2006	—	`conf`	Optimizing Spectral Filters for Single Trial EEG Classification. DAGM-Symposium Ryota Tomioka, Guido Dornhege, Guido Nolte, Kazuyuki Aihara, Klaus-Robert Müller
2006	—	`ed.`	Pattern Recognition, 28th DAGM Symposium, Berlin, Germany, September 12-14, 2006, Proceedings DAGM-Symposium Katrin Franke, Klaus-Robert Müller, Bertram Nickolay, Ralf Schäfer
2006	—	`conf`	Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach. NIPS Matthias Krauledat, Michael Schröder, Benjamin Blankertz, Klaus-Robert Müller
2006	J	`jnl`	The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States. J. Univers. Comput. Sci. Benjamin Blankertz, Guido Dornhege, Steven Lemm, Matthias Krauledat, Gabriel Curio, Klaus-Robert Müller
2006	J	`jnl`	Toward noninvasive brain-computer interfaces. IEEE Signal Process. Mag. Klaus-Robert Müller, Benjamin Blankertz
2005	—	`conf`	Analyzing Coupled Brain Sources: Distinguishing True from Spurious Interaction. NIPS Guido Nolte, Andreas Ziehe, Frank C. Meinecke, Klaus-Robert Müller
2005	J	`jnl`	Classifying 'Drug-likeness' with Kernel-Based Learning Methods. J. Chem. Inf. Model. Klaus-Robert Müller, Gunnar Rätsch, Sören Sonnenburg, Sebastian Mika, Michael Grimm, Nikolaus Heinrich
2005	J	`jnl`	Estimating Functions for Blind Separation When Sources Have Variance Dependencies. J. Mach. Learn. Res. Motoaki Kawanabe, Klaus-Robert Müller
2005	J	`jnl`	Inlier-based ICA with an application to superimposed images. Int. J. Imaging Syst. Technol. Frank C. Meinecke, Stefan Harmeling, Klaus-Robert Müller
2005	—	`conf`	Model Selection Under Covariate Shift. ICANN (2) Masashi Sugiyama, Klaus-Robert Müller
2005	—	`conf`	Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction. NIPS Gilles Blanchard, Masashi Sugiyama, Motoaki Kawanabe, Vladimir G. Spokoiny, Klaus-Robert Müller
2005	—	`conf`	Optimizing spatio-temporal filters for improving Brain-Computer Interfacing. NIPS Guido Dornhege, Benjamin Blankertz, Matthias Krauledat, Florian Losch, Gabriel Curio, Klaus-Robert Müller
2005	J	`jnl`	Spatio-spectral filters for improving the classification of single trial EEG. IEEE Trans. Biomed. Eng. Steven Lemm, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller
2005	—	`conf`	Visualization of anomaly detection using prediction sensitivity. Sicherheit Pavel Laskov, Konrad Rieck, Christin Schäfer, Klaus-Robert Müller
2004	—	`conf`	A Consistency-Based Model Selection for One-Class Classification. ICPR (3) David M. J. Tax, Klaus-Robert Müller
2004	J	`jnl`	A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation. J. Mach. Learn. Res. Andreas Ziehe, Pavel Laskov, Guido Nolte, Klaus-Robert Müller
2004	—	`conf`	Approximate Joint Diagonalization Using a Natural Gradient Approach. ICA Arie Yeredor, Andreas Ziehe, Klaus-Robert Müller
2004	J	`jnl`	Asymptotic Properties of the Fisher Kernel. Neural Comput. Koji Tsuda, Shotaro Akaho, Motoaki Kawanabe, Klaus-Robert Müller
2004	J	`jnl`	Blind Source Separation Techniques for Decomposing Event-Related Brain Signals. Int. J. Bifurc. Chaos Klaus-Robert Müller, Ricardo Vigário, Frank C. Meinecke, Andreas Ziehe
2004	J	`jnl`	Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms. IEEE Trans. Biomed. Eng. Guido Dornhege, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller
2004	J	`jnl`	Editorial. IEEE Trans. Biomed. Eng. Miguel A. L. Nicolelis, Niels Birbaumer, Klaus-Robert Müller
2004	—	`conf`	Estimating Functions for Blind Separation when Sources Have Variance-Dependencies. ICA Motoaki Kawanabe, Klaus-Robert Müller
2004	J	`jnl`	Feature Discovery in Non-Metric Pairwise Data. J. Mach. Learn. Res. Julian Laub, Klaus-Robert Müller
2004	J	`jnl`	Injecting noise for analysing the stability of ICA components. Signal Process. Stefan Harmeling, Frank C. Meinecke, Klaus-Robert Müller
2004	J	`jnl`	Intrusion Detection in Unlabeled Data with Quarter-sphere Support Vector Machines. Prax. Inf.verarb. Kommun. Pavel Laskov, Christin Schäfer, Igor V. Kotenko, Klaus-Robert Müller
2004	B	`conf`	Regularizing generalization error estimators: a novel approach to robust model selection. ESANN Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller
2004	—	`conf`	Robust ICA for Super-Gaussian Sources. ICA Frank C. Meinecke, Stefan Harmeling, Klaus-Robert Müller
2004	J	`jnl`	The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials. IEEE Trans. Biomed. Eng. Benjamin Blankertz, Klaus-Robert Müller, Gabriel Curio, Theresa M. Vaughan, Gerwin Schalk, Jonathan R. Wolpaw, Alois Schlögl, Christa Neuper, Gert Pfurtscheller, Thilo Hinterberger, Michael Schröder, Niels Birbaumer
2004	J	`jnl`	Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression. Neural Comput. Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller
2003	J	`jnl`	Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation. J. Mach. Learn. Res. Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling, Klaus-Robert Müller
2003	J	`jnl`	Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces. IEEE Trans. Pattern Anal. Mach. Intell. Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller
2003	C	`conf`	Feature Extraction for One-Class Classification. ICANN David M. J. Tax, Klaus-Robert Müller
2003	—	`conf`	Increase Information Transfer Rates in BCI by CSP Extension to Multi-class. NIPS Guido Dornhege, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller
2003	J	`jnl`	Kernel-Based Nonlinear Blind Source Separation. Neural Comput. Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
2002	J	`jnl`	A New Discriminative Kernel from Probabilistic Models. Neural Comput. Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller
2002	J	`jnl`	A resampling approach to estimate the stability of one-dimensional or multidimensional independent components. IEEE Trans. Biomed. Eng. Frank C. Meinecke, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
2002	—	`conf`	Clustering with the Fisher Score. NIPS Koji Tsuda, Motoaki Kawanabe, Klaus-Robert Müller
2002	—	`conf`	Combining Features for BCI. NIPS Guido Dornhege, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller
2002	J	`jnl`	Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification. IEEE Trans. Pattern Anal. Mach. Intell. Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Klaus-Robert Müller
2002	—	`conf`	Going Metric: Denoising Pairwise Data. NIPS Volker Roth, Julian Laub, Joachim M. Buhmann, Klaus-Robert Müller
2002	C	`conf`	New Methods for Splice Site Recognition. ICANN Sören Sonnenburg, Gunnar Rätsch, Arun K. Jagota, Klaus-Robert Müller
2002	J	`jnl`	On-line learning in changing environments with applications in supervised and unsupervised learning. Neural Networks Noboru Murata, Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, Shun-ichi Amari
2002	C	`conf`	Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces. ICANN Masashi Sugiyama, Klaus-Robert Müller
2002	J	`jnl`	Subspace information criterion for nonquadratic regularizers-Model selection for sparse regressors. IEEE Trans. Neural Networks Koji Tsuda, Masashi Sugiyama, Klaus-Robert Müller
2002	J	`jnl`	The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces. J. Mach. Learn. Res. Masashi Sugiyama, Klaus-Robert Müller
2001	—	`conf`	A New Discriminative Kernel From Probabilistic Models. NIPS Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller
2001	J	`jnl`	An introduction to kernel-based learning algorithms. IEEE Trans. Neural Networks Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda, Bernhard Schölkopf
2001	—	`conf`	Classifying Single Trial EEG: Towards Brain Computer Interfacing. NIPS Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller
2001	—	`conf`	Estimating the Reliability of ICA Projections. NIPS Frank C. Meinecke, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
2001	—	`conf`	Kernel Feature Spaces and Nonlinear Blind Souce Separation. NIPS Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller
2001	C	`conf`	Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers. ICANN Koji Tsuda, Gunnar Rätsch, Sebastian Mika, Klaus-Robert Müller
2001	J	`jnl`	Soft Margins for AdaBoost. Mach. Learn. Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller
2000	—	`conf`	A Mathematical Programming Approach to the Kernel Fisher Algorithm. NIPS Sebastian Mika, Gunnar Rätsch, Klaus-Robert Müller
2000	—	`ed.`	Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29 - December 4, 1999] NIPS Sara A. Solla, Todd K. Leen, Klaus-Robert Müller
2000	J	`jnl`	Artifact reduction in magnetoneurography based on time-delayed second-order correlations. IEEE Trans. Biomed. Eng. Andreas Ziehe, Klaus-Robert Müller, Guido Nolte, Bruno-Marcel Mackert, Gabriel Curio
2000	A*	`conf`	Barrier Boosting. COLT Gunnar Rätsch, Manfred K. Warmuth, Sebastian Mika, Takashi Onoda, Steven Lemm, Klaus-Robert Müller
2000	J	`jnl`	Engineering support vector machine kernels that recognize translation initiation sites. Bioinform. Alexander Zien, Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Thomas Lengauer, Klaus-Robert Müller
2000	J	`jnl`	Identification of nonstationary dynamics in physiological recordings. Biol. Cybern. Jens Kohlmorgen, Klaus-Robert Müller, Jörn Rittweger, Klaus Pawelzik
2000	J	`jnl`	Independent component analysis of noninvasively recorded cortical magnetic DC-fields in humans. IEEE Trans. Biomed. Eng. Gerd Wübbeler, Andreas Ziehe, Bruno-Marcel Mackert, Klaus-Robert Müller, Lutz Trahms, Gabriel Curio
2000	B	`conf`	Robust Ensemble Learning for Data Mining. PAKDD Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Sebastian Mika, Takashi Onoda, Klaus-Robert Müller
1999	—	`conf`	Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites. German Conference on Bioinformatics Alexander Zien, Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Christian Lemmen, Alexander J. Smola, Thomas Lengauer, Klaus-Robert Müller
1999	B	`conf`	Hidden Markov gating for prediction of change points in switching dynamical systems. ESANN Stefan Liehr, Klaus Pawelzik, Jens Kohlmorgen, Steven Lemm, Klaus-Robert Müller
1999	J	`jnl`	Input space versus feature space in kernel-based methods. IEEE Trans. Neural Networks Bernhard Schölkopf, Sebastian Mika, Christopher J. C. Burges, Phil Knirsch, Klaus-Robert Müller, Gunnar Rätsch, Alexander J. Smola
1999	—	`conf`	Invariant Feature Extraction and Classification in Kernel Spaces. NIPS Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller
1999	J	`jnl`	Lernen mit Kernen: Support-Vektor-Methoden zur Analyse hochdimensionaler Daten. Inform. Forsch. Entwickl. Bernhard Schölkopf, Klaus-Robert Müller, Alexander J. Smola
1999	—	`conf`	Tools for computer-supported learning in organisations. HCI (2) Ernst A. Hartmann, Dirk Sistenich, Klaus-Robert Müller, Michael Gerads, Holger Sickel
1999	—	`conf`	Unmixing Hyperspectral Data. NIPS Lucas C. Parra, Clay Spence, Paul Sajda, Andreas Ziehe, Klaus-Robert Müller
1999	—	`conf`	v-Arc: Ensemble Learning in the Presence of Outliers. NIPS Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller, Takashi Onoda, Sebastian Mika
1998	B	`conf`	An Improvement of AdaBoost to Avoid Overfitting. ICONIP Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller
1998	J	`jnl`	Data Set A is a Pattern Matching Problem. Neural Process. Lett. Jens Kohlmorgen, Klaus-Robert Müller
1998	—	`conf`	Kernel PCA and De-Noising in Feature Spaces. NIPS Sebastian Mika, Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller, Matthias Scholz, Gunnar Rätsch
1998	—	`book`	Neural Networks: Tricks of the Trade Neural Networks: Tricks of the Trade Genevieve B. Orr, Klaus-Robert Müller
1998	J	`jnl`	Nonlinear Component Analysis as a Kernel Eigenvalue Problem. Neural Comput. Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller
1998	—	`conf`	Regularizing AdaBoost. NIPS Gunnar Rätsch, Takashi Onoda, Klaus-Robert Müller
1998	J	`jnl`	The connection between regularization operators and support vector kernels. Neural Networks Alexander J. Smola, Bernhard Schölkopf, Klaus-Robert Müller
1997	—	`conf`	Analysis of Drifting Dynamics with Neural Network Hidden Markov Models. NIPS Jens Kohlmorgen, Klaus-Robert Müller, Klaus Pawelzik
1997	C	`conf`	Analysis of Wake/Sleep EEG with Competing Experts. ICANN Jens Kohlmorgen, Klaus-Robert Müller, Jörn Rittweger, Klaus Pawelzik
1997	J	`jnl`	Asymptotic statistical theory of overtraining and cross-validation. IEEE Trans. Neural Networks Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Hua Yang
1997	C	`conf`	Kernel Principal Component Analysis. ICANN Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller
1997	C	`conf`	Predicting Time Series with Support Vector Machines. ICANN Klaus-Robert Müller, Alexander J. Smola, Gunnar Rätsch, Bernhard Schölkopf, Jens Kohlmorgen, Vladimir Vapnik
1996	J	`jnl`	A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks. Neural Comput. Klaus-Robert Müller, Michael Finke, Noboru Murata, Klaus Schulten, Shun-ichi Amari
1996	—	`conf`	Adaptive On-line Learning in Changing Environments. NIPS Noboru Murata, Klaus-Robert Müller, Andreas Ziehe, Shun-ichi Amari
1996	C	`conf`	Analysis of Drifting Dynamics with Competing Predictors. ICANN Jens Kohlmorgen, Klaus-Robert Müller, Klaus Pawelzik
1996	J	`jnl`	Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics. Neural Comput. Klaus Pawelzik, Jens Kohlmorgen, Klaus-Robert Müller
1996	—	`ch.`	Effiicient BackProp. Neural Networks: Tricks of the Trade Yann LeCun, Léon Bottou, Genevieve B. Orr, Klaus-Robert Müller
1996	—	`ch.`	Improving Network Models and Algorithmic Tricks: Preface. Neural Networks: Tricks of the Trade Genevieve B. Orr, Klaus-Robert Müller
1996	—	`ch.`	Introduction. Neural Networks: Tricks of the Trade Genevieve B. Orr, Klaus-Robert Müller
1996	C	`conf`	Prediction of Mixtures. ICANN Klaus Pawelzik, Klaus-Robert Müller, Jens Kohlmorgen
1996	—	`ch.`	Regularization Techniques to Improve Generalization: Preface. Neural Networks: Tricks of the Trade Genevieve B. Orr, Klaus-Robert Müller
1996	—	`ch.`	Representing and Incorporating Prior Knowledge in Neural Network Training: Preface. Neural Networks: Tricks of the Trade Genevieve B. Orr, Klaus-Robert Müller
1996	—	`ch.`	Speeding Learning: Preface. Neural Networks: Tricks of the Trade Genevieve B. Orr, Klaus-Robert Müller
1996	—	`ch.`	Tricks for Time Series: Preface. Neural Networks: Tricks of the Trade Genevieve B. Orr, Klaus-Robert Müller
1995	—	`conf`	Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective? NIPS Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Hua Yang
1994	—	`—`	Spärlich verbundene neuronale Netze und ihre Anwendung. Klaus-Robert Müller
1993	—	`conf`	Associative storage and retrieval of highly correlated natural pattern sets in diluted Hopfield networks. ICNN Klaus-Robert Müller, Thomas Stiefvater, Herbert Janßen