Klaus-Robert Mller
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
62
Venues
24
Active years
1996–2025
Best venue rank
A*
Where they publish
- CICANN13 papers
- A*ICML9 papers
- A*ICLR4 papers
- MulticonferenceICASSP4 papers
- BICIP3 papers
- NationalHCI3 papers
- AMICCAI2 papers
- A*CVPR2 papers
- AAISTATS2 papers
- BIJCNN2 papers
- CPCS2 papers
- BSMC2 papers
- NationalIWANN2 papers
- BESANN2 papers
- AECAI1 paper
- A*AAAI1 paper
- BQoMEX1 paper
- A*IJCAI1 paper
- NationalHAIS1 paper
- BIDA1 paper
- BICPR1 paper
- A*COLT1 paper
- BPAKDD1 paper
- BICONIP1 paper
Papers
62 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification. | David Jacob Drexlin, Jonas Dippel, Julius Hense, Niklas Prenil, Grgoire Montavon, Frederick Klauschen, Klaus-Robert Mller |
| 2024 | ICLR | Set Learning for Accurate and Calibrated Models. | Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Mller |
| 2023 | CVPR | Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations. | Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grgoire Montavon, Klaus-Robert Mller, Wojciech Samek |
| 2023 | ECAI | Mark My Words: Dangers of Watermarked Images in ImageNet. | Kirill Bykov, Klaus-Robert Mller, Marina M.-C. Hhne |
| 2023 | ICML | Relevant Walk Search for Explaining Graph Neural Networks. | Ping Xiong, Thomas Schnake, Michael Gastegger, Grgoire Montavon, Klaus-Robert Mller, Shinichi Nakajima |
| 2022 | ICML | XAI for Transformers: Better Explanations through Conservative Propagation. | Ameen Ali, Thomas Schnake, Oliver Eberle, Grgoire Montavon, Klaus-Robert Mller, Lior Wolf |
| 2022 | ICML | Efficient Computation of Higher-Order Subgraph Attribution via Message Passing. | Ping Xiong, Thomas Schnake, Grgoire Montavon, Klaus-Robert Mller, Shinichi Nakajima |
| 2021 | ICLR | Explainable Deep One-Class Classification. | Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Marius Kloft, Klaus-Robert Mller |
| 2020 | AAAI | Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance. | Vignesh Srinivasan, Klaus-Robert Mller, Wojciech Samek, Shinichi Nakajima |
| 2020 | ICASSP | On the Byzantine Robustness of Clustered Federated Learning. | Felix Sattler, Klaus-Robert Mller, Thomas Wiegand, Wojciech Samek |
| 2020 | ICIP | EEG-Based Assessment of Perceived Quality in Complex Natural Images. | Tamer Ajaj, Klaus-Robert Mller, Gabriel Curio, Thomas Wiegand, Sebastian Bosse |
| 2020 | ICLR | Deep Semi-Supervised Anomaly Detection. | Lukas Ruff, Robert A. Vandermeulen, Nico Grnitz, Alexander Binder, Emmanuel Mller, Klaus-Robert Mller, Marius Kloft |
| 2020 | ICML | Fairwashing explanations with off-manifold detergent. | Christopher J. Anders, Plamen Pasliev, Ann-Kathrin Dombrowski, Klaus-Robert Mller, Pan Kessel |
| 2020 | ICML | xxAI - Beyond Explainable Artificial Intelligence. | Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Mller, Wojciech Samek |
| 2020 | ICML | Explaining the Predictions of Unsupervised Learning Models. | Grgoire Montavon, Jacob R. Kauffmann, Wojciech Samek, Klaus-Robert Mller |
| 2020 | QoMEX | EEG-Based Assessment of Perceived Realness in Stylized Face Images. | Milena T. Bagdasarian, Anna Hilsmann, Peter Eisert, Gabriel Curio, Klaus-Robert Mller, Thomas Wiegand, Sebastian Bosse |
| 2019 | AISTATS | Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs. | Alexander Bauer, Shinichi Nakajima, Nico Grnitz, Klaus-Robert Mller |
| 2019 | IJCNN | Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication. | Felix Sattler, Simon Wiedemann, Klaus-Robert Mller, Wojciech Samek |
| 2019 | IJCNN | Entropy-Constrained Training of Deep Neural Networks. | Simon Wiedemann, Arturo Marbn, Klaus-Robert Mller, Wojciech Samek |
| 2019 | MICCAI | Deep Transfer Learning for Whole-Brain FMRI Analyses. | Armin W. Thomas, Klaus-Robert Mller, Wojciech Samek |
| 2018 | ICASSP | How are the Centered Kernel Principal Components Relevant to Regression Task? -An Exact Analysis. | Masahiro Yukawa, Klaus-Robert Mller, Yuto Ogino |
| 2018 | ICLR | Learning how to explain neural networks: PatternNet and PatternAttribution. | Pieter-Jan Kindermans, Kristof T. Schtt, Maximilian Alber, Klaus-Robert Mller, Dumitru Erhan, Been Kim, Sven Dhne |
| 2018 | IJCAI | Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling. | Dong-Ok Won, Byung-Do Kim, Ho-Jung Kim, Tae-San Eom, Klaus-Robert Mller, Seong-Whan Lee |
| 2017 | ICASSP | Interpretable human action recognition in compressed domain. | Vignesh Srinivasan, Sebastian Lapuschkin, Cornelius Hellge, Klaus-Robert Mller, Wojciech Samek |
| 2017 | ICML | Minimizing Trust Leaks for Robust Sybil Detection. | Jnos Hner, Shinichi Nakajima, Alexander Bauer, Klaus-Robert Mller, Nico Grnitz |
| 2016 | CVPR | Analyzing Classifiers: Fisher Vectors and Deep Neural Networks. | Sebastian Lapuschkin, Alexander Binder, Grgoire Montavon, Klaus-Robert Mller, Wojciech Samek |
| 2016 | ICANN | Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers. | Alexander Binder, Grgoire Montavon, Sebastian Lapuschkin, Klaus-Robert Mller, Wojciech Samek |
| 2016 | ICIP | Controlling explanatory heatmap resolution and semantics via decomposition depth. | Sebastian Bach, Alexander Binder, Klaus-Robert Mller, Wojciech Samek |
| 2016 | PCS | Neural network-based full-reference image quality assessment. | Sebastian Bosse, Dominique Maniry, Klaus-Robert Mller, Thomas Wiegand, Wojciech Samek |
| 2016 | PCS | Block adaptive selection of multiple core transforms for video coding. | Santiago De-Luxn-Hernndez, Detlev Marpe, Heiko Schwarz, Klaus-Robert Mller, Mathias Wien, Jens-Rainer Ohm, Thomas Wiegand |
| 2016 | SMC | Brain-Computer Interfacing for multimedia quality assessment. | Sebastian Bosse, Klaus-Robert Mller, Thomas Wiegand, Wojciech Samek |
| 2016 | SMC | Alternative CSP approaches for multimodal distributed BCI data. | Stephanie Brandl, Klaus-Robert Mller, Wojciech Samek |
| 2014 | AISTATS | Learning and Evaluation in Presence of Non-i.i.d. Label Noise. | Nico Grnitz, Anne Porbadnigk, Alexander Binder, Claudia Sannelli, Mikio L. Braun, Klaus-Robert Mller, Marius Kloft |
| 2014 | ICIP | Neurally informed assessment of perceived natural texture image quality. | Sebastian Bosse, Laura Acqualagna, Anne K. Porbadnigk, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Mller, Thomas Wiegand |
| 2011 | ICANN | ℓ | Siamac Fazli, Mrton Danczy, Jrg Schelldorfer, Klaus-Robert Mller |
| 2010 | HAIS | Machine-Learning Based Co-adaptive Calibration: A Perspective to Fight BCI Illiteracy. | Carmen Vidaurre, Claudia Sannelli, Klaus-Robert Mller, Benjamin Blankertz |
| 2009 | IDA | Stationary Subspace Analysis. | Paul von Bnau, Frank C. Meinecke, Klaus-Robert Mller |
| 2009 | IWANN | Using Rest Class and Control Paradigms for Brain Computer Interfacing. | Siamac Fazli, Mrton Danczy, Florin Popescu, Benjamin Blankertz, Klaus-Robert Mller |
| 2009 | IWANN | A Maxmin Approach to Optimize Spatial Filters for EEG Single-Trial Classification. | Motoaki Kawanabe, Carmen Vidaurre, Benjamin Blankertz, Klaus-Robert Mller |
| 2008 | ICML | Stopping conditions for exact computation of leave-one-out error in support vector machines. | Vojtech Franc, Pavel Laskov, Klaus-Robert Mller |
| 2007 | HCI | A Note on Brain Actuated Spelling with the Berlin Brain-Computer Interface. | Benjamin Blankertz, Matthias Krauledat, Guido Dornhege, John Williamson, Roderick Murray-Smith, Klaus-Robert Mller |
| 2007 | HCI | Machine Learning and Applications for Brain-Computer Interfacing. | Klaus-Robert Mller, Matthias Krauledat, Guido Dornhege, Gabriel Curio, Benjamin Blankertz |
| 2007 | ICML | Asymptotic Bayesian generalization error when training and test distributions are different. | Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama, Klaus-Robert Mller |
| 2006 | ICANN | A Model Selection Method Based on Bound of Learning Coefficient. | Keisuke Yamazaki, Kenji Nagata, Sumio Watanabe, Klaus-Robert Mller |
| 2006 | ICASSP | Obtaining the Best Linear Unbiased Estimator of Noisy Signals by Non-Gaussian Component Analysis. | Masashi Sugiyama, Motoaki Kawanabe, Gilles Blanchard, Vladimir G. Spokoiny, Klaus-Robert Mller |
| 2005 | ICANN | Model Selection Under Covariate Shift. | Masashi Sugiyama, Klaus-Robert Mller |
| 2004 | ESANN | Regularizing generalization error estimators: a novel approach to robust model selection. | Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Mller |
| 2004 | ICPR | A Consistency-Based Model Selection for One-Class Classification. | David M. J. Tax, Klaus-Robert Mller |
| 2003 | ICANN | Feature Extraction for One-Class Classification. | David M. J. Tax, Klaus-Robert Mller |
| 2002 | ICANN | New Methods for Splice Site Recognition. | Sren Sonnenburg, Gunnar Rtsch, Arun K. Jagota, Klaus-Robert Mller |
| 2002 | ICANN | Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces. | Masashi Sugiyama, Klaus-Robert Mller |
| 2001 | ICANN | Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers. | Koji Tsuda, Gunnar Rtsch, Sebastian Mika, Klaus-Robert Mller |
| 2000 | COLT | Barrier Boosting. | Gunnar Rtsch, Manfred K. Warmuth, Sebastian Mika, Takashi Onoda, Steven Lemm, Klaus-Robert Mller |
| 2000 | PAKDD | Robust Ensemble Learning for Data Mining. | Gunnar Rtsch, Bernhard Schlkopf, Alexander J. Smola, Sebastian Mika, Takashi Onoda, Klaus-Robert Mller |
| 1999 | ESANN | Hidden Markov gating for prediction of change points in switching dynamical systems. | Stefan Liehr, Klaus Pawelzik, Jens Kohlmorgen, Steven Lemm, Klaus-Robert Mller |
| 1999 | HCI | Tools for computer-supported learning in organisations. | Ernst A. Hartmann, Dirk Sistenich, Klaus-Robert Mller, Michael Gerads, Holger Sickel |
| 1998 | ICONIP | An Improvement of AdaBoost to Avoid Overfitting. | Gunnar Rtsch, Takashi Onoda, Klaus-Robert Mller |
| 1997 | ICANN | Analysis of Wake/Sleep EEG with Competing Experts. | Jens Kohlmorgen, Klaus-Robert Mller, Jrn Rittweger, Klaus Pawelzik |
| 1997 | ICANN | Predicting Time Series with Support Vector Machines. | Klaus-Robert Mller, Alexander J. Smola, Gunnar Rtsch, Bernhard Schlkopf, Jens Kohlmorgen, Vladimir Vapnik |
| 1997 | ICANN | Kernel Principal Component Analysis. | Bernhard Schlkopf, Alexander J. Smola, Klaus-Robert Mller |
| 1996 | ICANN | Analysis of Drifting Dynamics with Competing Predictors. | Jens Kohlmorgen, Klaus-Robert Mller, Klaus Pawelzik |
| 1996 | ICANN | Prediction of Mixtures. | Klaus Pawelzik, Klaus-Robert Mller, Jens Kohlmorgen |