Klaus-Robert Müller

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 260

Top Venues

CoRR

NeuroImage

BCI

IEEE Trans. Neural Networks Learn. Syst.

Karlsruhe Institute of Technology, Germany (PHD)

Education History

Karlsruhe Institute of Technology, Germany

PHD

Publications

Ali Hashemi, Chang Cai, Yijing Gao, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
Joint Learning of Full-Structure Noise in Hierarchical Bayesian Regression Models. IEEE Trans. Medical Imaging 43 (2) (2024)
Jacob R. Kauffmann, Malte Esders, Lukas Ruff, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
From Clustering to Cluster Explanations via Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Sören Becker, Johanna Vielhaben, Marcel Ackermann, Klaus-Robert Müller, Sebastian Lapuschkin, Wojciech Samek
AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark. J. Frankl. Inst. 361 (1) (2024)
Dilyara Bareeva, Marina M.-C. Höhne, Alexander Warnecke, Lukas Pirch, Klaus-Robert Müller, Konrad Rieck, Kirill Bykov
Manipulating Feature Visualizations with Gradient Slingshots. CoRR (2024)
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
RudolfV: A Foundation Model by Pathologists for Pathologists. CoRR (2024)
Lorenz Linhardt, Klaus-Robert Müller, Grégoire Montavon
Preemptively pruning Clever-Hans strategies in deep neural networks. Inf. Fusion 103 (2024)
Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations. CVPR (2023)
Carmen Vidaurre, K. Gurunandan, Mina Jamshidi Idaji, Guido Nolte, Marisol Gómez, Arno Villringer, Klaus-Robert Müller, Vadim V. Nikulin
Novel multivariate methods to track frequency shifts of neural oscillations in EEG/MEG recordings. NeuroImage 276 (2023)
Klaus-Robert Müller, Simon M. Hofmann
Interpreting Deep Learning Models for Multi-modal Neuroimaging. BCI (2023)
Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller
Set Learning for Accurate and Calibrated Models. CoRR (2023)
Kirill Bykov, Klaus-Robert Müller, Marina M.-C. Höhne
Mark My Words: Dangers of Watermarked Images in ImageNet. ECAI Workshops (1) (2023)
Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, Klaus-Robert Müller, Grégoire Montavon
Learning domain invariant representations by joint Wasserstein distance minimization. Neural Networks 167 (2023)
Ping Xiong, Thomas Schnake, Michael Gastegger, Grégoire Montavon, Klaus-Robert Müller, Shinichi Nakajima
Relevant Walk Search for Explaining Graph Neural Networks. ICML (2023)
Lorenz Linhardt, Klaus-Robert Müller, Grégoire Montavon
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks. CoRR (2023)
Kirill Bykov, Klaus-Robert Müller, Marina M.-C. Höhne
Mark My Words: Dangers of Watermarked Images in ImageNet. CoRR (2023)
Simon Letzgus, Klaus-Robert Müller
Towards transparent and robust data-driven wind turbine power curve models. CoRR (2023)
J. Thorben Frank, Oliver T. Unke, Klaus-Robert Müller, Stefan Chmiela
From Peptides to Nanostructures: A Euclidean Transformer for Fast and Stable Machine Learned Force Fields. CoRR (2023)
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
Getting aligned on representational alignment. CoRR (2023)
Kai J. Miller, Klaus-Robert Müller, Gabriela Ojeda Valencia, Harvey Huang, Nicholas M. Gregg, Gregory A. Worrell, Dora Hermes
Canonical Response Parameterization: Quantifying the structure of responses to single-pulse intracranial electrical brain stimulation. PLoS Comput. Biol. 19 (5) (2023)
Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
Langevin Cooling for Unsupervised Domain Translation. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Armin W. Thomas, Ulman Lindenberger, Wojciech Samek, Klaus-Robert Müller
Evaluating deep transfer learning for whole-brain cognitive decoding. J. Frankl. Inst. 360 (13) (2023)
Oliver Eberle, Jochen Büttner, Hassan El-Hajj, Grégoire Montavon, Klaus-Robert Müller, Matteo Valleriani
Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI. CoRR (2023)
Kim Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Klaus-Robert Müller, Paolo Stornati, Pan Kessel, Shinichi Nakajima
Physics-Informed Bayesian Optimization of Variational Quantum Circuits. NeurIPS (2023)
Ludwig Winkler, Klaus-Robert Müller, Huziel E. Sauceda
Super-resolution in Molecular Dynamics Trajectory Reconstruction with Bi-Directional Neural Networks. CoRR (2022)
Oliver Eberle, Jochen Büttner, Florian Kräutli, Klaus-Robert Müller, Matteo Valleriani, Grégoire Montavon
Building and Interpreting Deep Similarity Models. IEEE Trans. Pattern Anal. Mach. Intell. 44 (3) (2022)
Pattarawat Chormai, Jan Herrmann, Klaus-Robert Müller, Grégoire Montavon
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces. CoRR (2022)
Stefan Blücher, Klaus-Robert Müller, Stefan Chmiela
Reconstructing Kernel-based Machine Learning Force Fields with Super-linear Convergence. CoRR (2022)
Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations. CoRR (2022)
Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images. CoRR (2022)
Christopher J. Anders, Leander Weber, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin
Finding and removing Clever Hans: Using explanation methods to debug and improve deep models. Inf. Fusion 77 (2022)
J. Thorben Frank, Oliver T. Unke, Klaus-Robert Müller
So3krates - Self-attention for higher-order geometric interactions on arbitrary length-scales. CoRR (2022)
Ping Xiong, Thomas Schnake, Grégoire Montavon, Klaus-Robert Müller, Shinichi Nakajima
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing. ICML (2022)
Rick Wilming, Céline Budding, Klaus-Robert Müller, Stefan Haufe
Scrutinizing XAI using linear ground-truth data with suppressor variables. Mach. Learn. 111 (5) (2022)
Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon
Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective. IEEE Signal Process. Mag. 39 (4) (2022)
Ameen Ali, Thomas Schnake, Oliver Eberle, Grégoire Montavon, Klaus-Robert Müller, Lior Wolf
XAI for Transformers: Better Explanations through Conservative Propagation. ICML (2022)
Mina Jamshidi Idaji, Juanli Zhang, Tilman Stephani, Guido Nolte, Klaus-Robert Müller, Arno Villringer, Vadim V. Nikulin
Harmoni: A method for eliminating spurious interactions due to the harmonic components in neuronal data. NeuroImage 252 (2022)
Jonas Lederer, Michael Gastegger, Kristof T. Schütt, Michael Kampffmeyer, Klaus-Robert Müller, Oliver T. Unke
Automatic Identification of Chemical Moieties. CoRR (2022)
Ann-Kathrin Dombrowski, Jan E. Gerken, Klaus-Robert Müller, Pan Kessel
Diffeomorphic Counterfactuals with Generative Models. CoRR (2022)
Seong-Whan Lee, Klaus-Robert Müller
Welcome Message from the General Chairs. BCI (2022)
J. Thorben Frank, Oliver T. Unke, Klaus-Robert Müller
So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems. NeurIPS (2022)
Kirill Bykov, Mayukh Deb, Dennis Grinwald, Klaus-Robert Müller, Marina M.-C. Höhne
DORA: Exploring outlier representations in Deep Neural Networks. CoRR (2022)
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
Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations. CoRR (2022)
Thomas Schnake, Oliver Eberle, Jonas Lederer, Shinichi Nakajima, Kristof T. Schütt, Klaus-Robert Müller, Grégoire Montavon
Higher-Order Explanations of Graph Neural Networks via Relevant Walks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Ameen Ali, Thomas Schnake, Oliver Eberle, Grégoire Montavon, Klaus-Robert Müller, Lior Wolf
XAI for Transformers: Better Explanations through Conservative Propagation. CoRR (2022)
Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images. Trans. Mach. Learn. Res. 2022 (2022)
Ludwig Winkler, Klaus-Robert Müller, Huziel E. Sauceda
High-fidelity molecular dynamics trajectory reconstruction with bi-directional neural networks. Mach. Learn. Sci. Technol. 3 (2) (2022)
Hassan El-Hajj, Maryam Zamani, Jochen Büttner, Julius Martinetz, Oliver Eberle, Noga Shlomi, Anna Siebold, Grégoire Montavon, Klaus-Robert Müller, Holger Kantz, Matteo Valleriani
An Ever-Expanding Humanities Knowledge Graph: The Sphaera Corpus at the Intersection of Humanities, Data Management, and Machine Learning. Datenbank-Spektrum 22 (2) (2022)
Niklas Frederik Schmitz, Klaus-Robert Müller, Stefan Chmiela
Algorithmic Differentiation for Automatized Modelling of Machine Learned Force Fields. CoRR (2022)
Tülay Adali, Rodrigo Capobianco Guido, Tin Kam Ho, Klaus-Robert Müller, Stephen C. Strother
Interpretability, Reproducibility, and Replicability [From the Guest Editors]. IEEE Signal Process. Mag. 39 (4) (2022)
Simon M. Hofmann, Frauke Beyer, Sebastian Lapuschkin, Ole Goltermann, Markus Loeffler, Klaus-Robert Müller, Arno Villringer, Wojciech Samek, Anja Veronica Witte
Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain. NeuroImage 261 (2022)
Ann-Kathrin Dombrowski, Klaus-Robert Müller, Wolf-Christian Müller
Automated Dissipation Control for Turbulence Simulation with Shell Models. CoRR (2022)
Ann-Kathrin Dombrowski, Christopher J. Anders, Klaus-Robert Müller, Pan Kessel
Towards robust explanations for deep neural networks. Pattern Recognit. 121 (2022)
Huziel E. Sauceda, Luis E. Gálvez-González, Stefan Chmiela, Lauro Oliver Paz-Borbón, Klaus-Robert Müller, Alexandre Tkatchenko
BIGDML: Towards Exact Machine Learning Force Fields for Materials. CoRR (2021)
Kirill Bykov, Marina M.-C. Höhne, Adelaida Creosteanu, Klaus-Robert Müller, Frederick Klauschen, Shinichi Nakajima, Marius Kloft
Explaining Bayesian Neural Networks. CoRR (2021)
Rick Wilming, Céline Budding, Klaus-Robert Müller, Stefan Haufe
Scrutinizing XAI using linear ground-truth data with suppressor variables. CoRR (2021)
Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging. NeurIPS (2021)
Armin W. Thomas, Ulman Lindenberger, Wojciech Samek, Klaus-Robert Müller
Evaluating deep transfer learning for whole-brain cognitive decoding. CoRR (2021)
Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin, Alexander Binder, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
Pruning by explaining: A novel criterion for deep neural network pruning. Pattern Recognit. 115 (2021)
Kai J. Miller, Klaus-Robert Müller, Dora Hermes
Basis profile curve identification to understand electrical stimulation effects in human brain networks. PLoS Comput. Biol. 17 (9) (2021)
Christopher J. Anders, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy. CoRR (2021)
Ali Hashemi, Chang Cai, Gitta Kutyniok, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework. NeuroImage 239 (2021)
Vignesh Srinivasan, Nils Strodthoff, Jackie Ma, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy. CoRR (2021)
Oliver T. Unke, Stefan Chmiela, Michael Gastegger, Kristof T. Schütt, Huziel E. Sauceda, Klaus-Robert Müller
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects. CoRR (2021)
Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon
Toward Explainable AI for Regression Models. CoRR (2021)
Wojciech Samek, Grégoire Montavon, Sebastian Lapuschkin, Christopher J. Anders, Klaus-Robert Müller
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications. Proc. IEEE 109 (3) (2021)
Vignesh Srinivasan, Csaba Rohrer, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
Robustifying models against adversarial attacks by Langevin dynamics. Neural Networks 137 (2021)
Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Müller
Explainable Deep One-Class Classification. ICLR (2021)
Stefan Studer, Thanh Binh Bui, Christian Drescher, Alexander Hanuschkin, Ludwig Winkler, Steven Peters, Klaus-Robert Müller
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology. Mach. Learn. Knowl. Extr. 3 (2) (2021)
Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging. CoRR (2021)
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller
A Unifying Review of Deep and Shallow Anomaly Detection. Proc. IEEE 109 (5) (2021)
Danny Panknin, Shinichi Nakajima, Klaus-Robert Müller
Optimal Sampling Density for Nonparametric Regression. CoRR (2021)
Felix Sattler, Klaus-Robert Müller, Wojciech Samek
Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints. IEEE Trans. Neural Networks Learn. Syst. 32 (8) (2021)
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
Morphological and molecular breast cancer profiling through explainable machine learning. Nat. Mach. Intell. 3 (4) (2021)
Oliver T. Unke, Mihail Bogojeski, Michael Gastegger, Mario Geiger, Tess Smidt, Klaus-Robert Müller
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities. NeurIPS (2021)
Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, Klaus-Robert Müller, Grégoire Montavon
Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization. CoRR (2021)
Niklas W. A. Gebauer, Michael Gastegger, Stefaan S. P. Hessmann, Klaus-Robert Müller, Kristof T. Schütt
Inverse design of 3d molecular structures with conditional generative neural networks. CoRR (2021)
Mihail Bogojeski, Simeon Sauer, Franziska Horn, Klaus-Robert Müller
Forecasting industrial aging processes with machine learning methods. Comput. Chem. Eng. 144 (2021)
Jacob R. Kauffmann, Klaus-Robert Müller, Grégoire Montavon
Towards explaining anomalies: A deep Taylor decomposition of one-class models. Pattern Recognit. 101 (2020)
Felix Sattler, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data. IEEE Trans. Neural Networks Learn. Syst. 31 (9) (2020)
Ann-Kathrin Dombrowski, Christopher J. Anders, Klaus-Robert Müller, Pan Kessel
Towards Robust Explanations for Deep Neural Networks. CoRR (2020)
Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
Langevin Cooling for Domain Translation. CoRR (2020)
Stefan Studer, Thanh Binh Bui, Christian Drescher, Alexander Hanuschkin, Ludwig Winkler, Steven Peters, Klaus-Robert Müller
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology. CoRR (2020)
Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann, Markus Wenzel, Ralf Schäfer, Wojciech Samek, Klaus-Robert Müller, Thomas Wiegand
Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements. npj Digit. Medicine 3 (2020)
Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann, Markus Wenzel, Ralf Schäfer, Wojciech Samek, Klaus-Robert Müller, Thomas Wiegand
Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements. CoRR (2020)
David Lassner, Anne Baillot, Sergej Dogadov, Klaus-Robert Müller, Shinichi Nakajima
Automatic Identification of Types of Alterations in Historical Manuscripts. CoRR (2020)
Christopher J. Anders, Plamen Pasliev, Ann-Kathrin Dombrowski, Klaus-Robert Müller, Pan Kessel
Fairwashing Explanations with Off-Manifold Detergent. CoRR (2020)
Alexander von Lühmann, Xinge Li, Klaus-Robert Müller, David A. Boas, Meryem A. Yücel
Improved physiological noise regression in fNIRS: A multimodal extension of the General Linear Model using temporally embedded Canonical Correlation Analysis. NeuroImage 208 (2020)
Jacob R. Kauffmann, Lukas Ruff, Grégoire Montavon, Klaus-Robert Müller
The Clever Hans Effect in Anomaly Detection. CoRR (2020)
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller
A Unifying Review of Deep and Shallow Anomaly Detection. CoRR (2020)
Mihail Bogojeski, Simeon Sauer, Franziska Horn, Klaus-Robert Müller
Forecasting Industrial Aging Processes with Machine Learning Methods. CoRR (2020)
Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller, Wojciech Samek
xxAI - Beyond Explainable Artificial Intelligence. xxAI@ICML (2020)
Grégoire Montavon, Jacob R. Kauffmann, Wojciech Samek, Klaus-Robert Müller
Explaining the Predictions of Unsupervised Learning Models. xxAI@ICML (2020)
Mina Jamshidi Idaji, Klaus-Robert Müller, Guido Nolte, Burkhard Maess, Arno Villringer, Vadim V. Nikulin
Nonlinear interaction decomposition (NID): A method for separation of cross-frequency coupled sources in human brain. NeuroImage 211 (2020)
Christopher J. Anders, Plamen Pasliev, Ann-Kathrin Dombrowski, Klaus-Robert Müller, Pan Kessel
Fairwashing explanations with off-manifold detergent. ICML (2020)
Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
Deep Semi-Supervised Anomaly Detection. ICLR (2020)
Dong-Ok Won, Klaus-Robert Müller, Seong-Whan Lee
An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real-world conditions. Sci. Robotics 5 (46) (2020)
Felix Sattler, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek
On the Byzantine Robustness of Clustered Federated Learning. ICASSP (2020)
Tamer Ajaj, Klaus-Robert Müller, Gabriel Curio, Thomas Wiegand, Sebastian Bosse
EEG-Based Assessment of Perceived Quality in Complex Natural Images. ICIP (2020)
Thomas Schnake, Oliver Eberle, Jonas Lederer, Shinichi Nakajima, Kristof T. Schütt, Klaus-Robert Müller, Grégoire Montavon
XAI for Graphs: Explaining Graph Neural Network Predictions by Identifying Relevant Walks. CoRR (2020)
Wojciech Samek, Grégoire Montavon, Sebastian Lapuschkin, Christopher J. Anders, Klaus-Robert Müller
Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Klaus-Robert Müller