101 results
(View BibTeX file of all listed publications)

**Semi-supervised learning, causality, and the conditional cluster assumption**
*NeurIPS 2019 Workshop “Do the right thing”: machine learning and causal inference for improved decision making*, December 2019 (poster) Accepted

**Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks**
*NeurIPS 2019 Workshop “Do the right thing”: machine learning and causal inference for improved decision making*, December 2019 (poster) Accepted

**Convolutional neural networks: A magic bullet for gravitational-wave detection?**
*Physical Review D*, 100(6):063015, American Physical Society, September 2019 (article)

**Data scarcity, robustness and extreme multi-label classification**
*Machine Learning*, 108(8):1329-1351, September 2019, Special Issue of the ECML PKDD 2019 Journal Track (article)

**A 32-channel multi-coil setup optimized for human brain shimming at 9.4T**
*Magnetic Resonance in Medicine*, 2019, (Early View) (article)

**Multidimensional Contrast Limited Adaptive Histogram Equalization**
*IEEE Access*, 7, pages: 165437-165447, 2019 (article)

**Enhancing Human Learning via Spaced Repetition Optimization**
*Proceedings of the National Academy of Sciences*, 2019, PNAS published ahead of print January 22, 2019 (article)

**Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots**
2019 (article) Submitted

**Perception of temporal dependencies in autoregressive motion**
European Conference on Visual Perception (ECVP), 2019 (poster)

**Inferring causation from time series with perspectives in Earth system sciences**
*Nature Communications*, 2019 (article) In revision

**Phenomenal Causality and Sensory Realism**
European Conference on Visual Perception (ECVP), 2019 (poster)

**Reliable Real-Time Ball Tracking for Robot Table Tennis**
*Robotics*, 8(4):90, 2019 (article)

**Probabilistic Linear Solvers: A Unifying View**
*Statistics and Computing*, 2019 (article) Accepted

**Optimizing the Execution of Dynamic Robot Movements With Learning Control**
*IEEE Transactions on Robotics*, pages: 1-16, 2019 (article)

**Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework**
*IEEE Robotics and Automation Letters*, 4(2):1784-1791, 2019 (article)

**Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces**
*Journal of Nonlinear Science*, 2019, First Online: 21 August 2019 (article)

**Kernel Methods for Measuring Independence**
*Journal of Machine Learning Research*, 6, pages: 2075-2129, December 2005 (article)

**A Unifying View of Sparse Approximate Gaussian Process Regression**
*Journal of Machine Learning Research*, 6, pages: 1935-1959, December 2005 (article)

**Kernel methods for dependence testing in LFP-MUA**
35(689.17), 35th Annual Meeting of the Society for Neuroscience (Neuroscience), November 2005 (poster)

**Maximal Margin Classification for Metric Spaces**
*Journal of Computer and System Sciences*, 71(3):333-359, October 2005 (article)

**Selective integration of multiple biological data for supervised
network inference**
*Bioinformatics*, 21(10):2488 , October 2005 (article)

**Assessing Approximate Inference for Binary Gaussian Process Classification**
*Journal of Machine Learning Research*, 6, pages: 1679 , October 2005 (article)

**Clustering on the Unit Hypersphere using von Mises-Fisher Distributions**
*Journal of Machine Learning Research*, 6, pages: 1345-1382, September 2005 (article)

**Support Vector Machines for 3D Shape Processing**
*Computer Graphics Forum*, 24(3, EUROGRAPHICS 2005):285-294, September 2005 (article)

**Rapid animal detection in natural scenes: Critical features are local**
*Journal of Vision*, 5(8):376, Fifth Annual Meeting of the Vision Sciences Society (VSS), September 2005 (poster)

**Fast Protein Classification with Multiple Networks**
*Bioinformatics*, 21(Suppl. 2):59-65, September 2005 (article)

**Iterative Kernel Principal Component Analysis for Image Modeling**
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, 27(9):1351-1366, September 2005 (article)

**Learning an Interest Operator from Eye Movements**
*International Workshop on Bioinspired Information Processing (BIP 2005)*, 2005, pages: 1, September 2005 (poster)

**Classification of natural scenes using global image statistics**
*Journal of Vision*, 5(8):602, Fifth Annual Meeting of the Vision Sciences Society (VSS), September 2005 (poster)

**Phenotypic characterization of chondrosarcoma-derived cell lines**
*Cancer Letters*, 226(2):143-154, August 2005 (article)

**Local Rademacher Complexities**
*The Annals of Statistics*, 33(4):1497-1537, August 2005 (article)

**Learning the Kernel with Hyperkernels**
*Journal of Machine Learning Research*, 6, pages: 1043-1071, July 2005 (article)

**Comparative evaluation of Independent Components Analysis algorithms for isolating target-relevant information in brain-signal classification**
*Brain-Computer Interface Technology*, 3, pages: 95, June 2005 (poster)

**Image Reconstruction by Linear Programming**
*IEEE Transactions on Image Processing*, 14(6):737-744, June 2005 (article)

**RASE: recognition of alternatively spliced exons in C.elegans**
*Bioinformatics*, 21(Suppl. 1):i369-i377, June 2005 (article)

**Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection**
*Journal of Machine Learning Research*, 6, pages: 995-1018, June 2005 (article)

**Texture and haptic cues in slant discrimination: Reliability-based cue weighting without statistically optimal cue combination**
*Journal of the Optical Society of America A*, 22(5):801-809, May 2005 (article)

**Bayesian inference for psychometric functions**
*Journal of Vision*, 5(5):478-492, May 2005 (article)

**Classification of natural scenes using global image statistics**
47, pages: 88, 47. Tagung Experimentell Arbeitender Psychologen, April 2005 (poster)

**A gene expression map of Arabidopsis thaliana development**
*Nature Genetics*, 37(5):501-506, April 2005 (article)

**Experimentally optimal v in support vector regression for different noise models and parameter settings**
*Neural Networks*, 18(2):205-205, March 2005 (article)

**Classification of Natural Scenes using Global Image Statistics**
8, pages: 88, 8th T{\"u}bingen Perception Conference (TWK), February 2005 (poster)

**Efficient Adaptive Sampling of the Psychometric Function by Maximizing Information Gain**
8, pages: 109, (Editors: Bülthoff, H. H., H. A. Mallot, R. Ulrich and F. A. Wichmann), 8th T{\"u}bingen Perception Conference (TWK), February 2005 (poster)

**Bayesian Inference for Psychometric Functions**
8, pages: 106, (Editors: Bülthoff, H. H., H. A. Mallot, R. Ulrich and F. A. Wichmann), 8th T{\"u}bingen Perception Conference (TWK), February 2005 (poster)

**Invariance of Neighborhood Relation under Input Space to Feature Space Mapping**
*Pattern Recognition Letters*, 26(6):707-718, 2005 (article)

**Global image statistics of natural scenes**
*Bioinspired Information Processing*, 08, pages: 1, 2005 (poster)

**Theory of Classification: A Survey of Some Recent Advances**
*ESAIM: Probability and Statistics*, 9, pages: 323 , 2005 (article)

**Support Vector Machines and Kernel Algorithms**
In *Encyclopedia of Biostatistics (2nd edition), Vol. 8*, 8, pages: 5328-5335, (Editors: P Armitage and T Colton), John Wiley & Sons, NY USA, 2005 (inbook)

**Moment Inequalities for Functions of Independent Random Variables**
*To appear in Annals of Probability*, 33, pages: 514-560, 2005 (article)

**Visual perception
I: Basic principles**
In *Handbook of Cognition*, pages: 3-47, (Editors: Lamberts, K. , R. Goldstone), Sage, London, 2005 (inbook)