Klaus-Robert Müller

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification MICCAI 2025 MambaLRP: Explaining Selective State Space Sequence Models NeurIPS 2024 xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology NeurIPS 2024 Physics-Informed Bayesian Optimization of Variational Quantum Circuits NeurIPS 2023 Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations CVPR 2023 Efficient Computation of Higher-Order Subgraph Attribution via Message Passing ICML 2022 So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems NeurIPS 2022 XAI for Transformers: Better Explanations through Conservative Propagation ICML 2022 Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging NeurIPS 2021 SE(3)-equivariant prediction of molecular wavefunctions and electronic densities NeurIPS 2021 Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance AAAI 2020 Deep Semi-Supervised Anomaly Detection ICLR 2020 Fairwashing explanations with off-manifold detergent ICML 2020 Evaluating Recurrent Neural Network Explanations ACL 2019 Explanations can be manipulated and geometry is to blame NeurIPS 2019 iNNvestigate Neural Networks! JMLR 2019 Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs AISTATS 2019 Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling IJCAI 2018 Learning how to explain neural networks: PatternNet and PatternAttribution ICLR 2018 An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels JMLR 2017 An Empirical Study on The Properties of Random Bases for Kernel Methods NeurIPS 2017 Minimizing Trust Leaks for Robust Sybil Detection ICML 2017 SchNet: A continuous-filter convolutional neural network for modeling quantum interactions NeurIPS 2017 Analyzing Classifiers: Fisher Vectors and Deep Neural Networks CVPR 2016 The LRP Toolbox for Artificial Neural Networks JMLR 2016 Wasserstein Training of Restricted Boltzmann Machines NeurIPS 2016 Covariance shrinkage for autocorrelated data NeurIPS 2014 Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NeurIPS 2013 Robust Spatial Filtering with Beta Divergence NeurIPS 2013 Algebraic Geometric Comparison of Probability Distributions JMLR 2012 Deep Boltzmann Machines as Feed-Forward Hierarchies AISTATS 2012 Learning Invariant Representations of Molecules for Atomization Energy Prediction NeurIPS 2012 Regression for sets of polynomial equations AISTATS 2012 Kernel Analysis of Deep Networks JMLR 2011 The Stationary Subspace Analysis Toolbox JMLR 2011 Approximate Tree Kernels JMLR 2010 How to Explain Individual Classification Decisions JMLR 2010 Layer-wise analysis of deep networks with Gaussian kernels NeurIPS 2010 Efficient and Accurate Lp-Norm Multiple Kernel Learning NeurIPS 2009 Subject independent EEG-based BCI decoding NeurIPS 2009 Estimating vector fields using sparse basis field expansions NeurIPS 2008 On Relevant Dimensions in Kernel Feature Spaces JMLR 2008 Playing Pinball with non-invasive BCI NeurIPS 2008 Covariate Shift Adaptation by Importance Weighted Cross Validation JMLR 2007 Heterogeneous Component Analysis NeurIPS 2007 Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing NeurIPS 2007 The Need for Open Source Software in Machine Learning JMLR 2007 Denoising and Dimension Reduction in Feature Space NeurIPS 2006 Incremental Support Vector Learning: Analysis, Implementation and Applications JMLR 2006 Inducing Metric Violations in Human Similarity Judgements NeurIPS 2006 In Search of Non-Gaussian Components of a High-Dimensional Distribution JMLR 2006 Logistic Regression for Single Trial EEG Classification NeurIPS 2006 Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach NeurIPS 2006 A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation JMLR 2004 Feature Discovery in Non-Metric Pairwise Data JMLR 2004 Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation JMLR 2003 The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces JMLR 2002