185 results
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**Nonlinear functional causal models for distinguishing cause from effect**
In *Statistics and Causality: Methods for Applied Empirical Research*, pages: 185-201, 8, 1st, (Editors: Wolfgang Wiedermann and Alexander von Eye), John Wiley & Sons, Inc., 2016 (inbook)

**A cognitive brain–computer interface for patients with amyotrophic lateral sclerosis**
In *Brain-Computer Interfaces: Lab Experiments to Real-World Applications*, 228(Supplement C):221-239, 8, Progress in Brain Research, (Editors: Damien Coyle), Elsevier, 2016 (incollection)

**Tractable Structured Prediction using the Permutohedral Lattice**
ETH Zurich, 2016 (phdthesis)

**Advances in computational imaging: Benchmarking Deblurring Algorithms, Deep Neural Inpainting, Depth Estimation from Light Fields**
Eberhard Karls Universität Tübingen, Germany, 2016 (phdthesis)

**Screening Rules for Convex Problems**
2016 (unpublished) Submitted

**Modeling the polygenic architecture of complex traits**
Eberhard Karls Universität Tübingen, November 2014 (phdthesis)

**Method and device for blind correction of optical aberrations in a digital image**
International Patent Application, No. PCT/EP2012/068868, April 2014 (patent)

**A Novel Causal Inference Method for Time Series**
Eberhard Karls Universität Tübingen, Germany, Eberhard Karls Universität Tübingen, Germany, 2014 (mastersthesis)

**Single-Source Domain Adaptation with Target and Conditional Shift**
In *Regularization, Optimization, Kernels, and Support Vector Machines*, pages: 427-456, 19, Chapman & Hall/CRC Machine Learning & Pattern Recognition, (Editors: Suykens, J. A. K., Signoretto, M. and Argyriou, A.), Chapman and Hall/CRC, Boca Raton, USA, 2014 (inbook)

**Higher-Order Tensors in Diffusion Imaging**
In *Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data*, pages: 129-161, Mathematics + Visualization, (Editors: Westin, C.-F., Vilanova, A. and Burgeth, B.), Springer, 2014 (inbook)

**Fuzzy Fibers: Uncertainty in dMRI Tractography**
In *Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization*, pages: 79-92, 8, Mathematics + Visualization, (Editors: Hansen, C. D., Chen, M., Johnson, C. R., Kaufman, A. E. and Hagen, H.), Springer, 2014 (inbook)

**A global analysis of extreme events and consequences for the terrestrial carbon cycle**
Diss. No. 22043, ETH Zurich, Switzerland, ETH Zurich, Switzerland, 2014 (phdthesis)

**Nonconvex Proximal Splitting with Computational Errors**
In *Regularization, Optimization, Kernels, and Support Vector Machines*, pages: 83-102, 4, (Editors: Suykens, J. A. K., Signoretto, M. and Argyriou, A.), CRC Press, 2014 (inbook)

**Development of advanced methods for improving astronomical images**
Eberhard Karls Universität Tübingen, Germany, Eberhard Karls Universität Tübingen, Germany, 2014 (diplomathesis)

**The Feasibility of Causal Discovery in Complex Systems: An Examination of Climate Change Attribution and Detection**
Graduate Training Centre of Neuroscience, University of Tübingen, Germany, Graduate Training Centre of Neuroscience, University of Tübingen, Germany, 2014 (mastersthesis)

**Causal Discovery in the Presence of Time-Dependent Relations or Small Sample Size**
Graduate Training Centre of Neuroscience, University of Tübingen, Germany, Graduate Training Centre of Neuroscience, University of Tübingen, Germany, 2014 (mastersthesis)

**Active Learning - Modern Learning Theory**
In *Encyclopedia of Algorithms*, (Editors: Kao, M.-Y.), Springer Berlin Heidelberg, 2014 (incollection)

**Analysis of Distance Functions in Graphs**
University of Hamburg, Germany, University of Hamburg, Germany, 2014 (phdthesis)

**Camera-specific Image Denoising**
Eberhard Karls Universität Tübingen, Germany, October 2013 (diplomathesis)

**A Review of Performance Variations in SMR-Based Brain–Computer Interfaces (BCIs)**
In *Brain-Computer Interface Research*, pages: 39-51, 4, SpringerBriefs in Electrical and Computer Engineering, (Editors: Guger, C., Allison, B. Z. and Edlinger, G.), Springer, 2013 (inbook)

**Semi-supervised learning in causal and anticausal settings**
In *Empirical Inference*, pages: 129-141, 13, Festschrift in Honor of Vladimir Vapnik, (Editors: Schölkopf, B., Luo, Z. and Vovk, V.), Springer, 2013 (inbook)

**Tractable large-scale optimization in machine learning**
In *Tractability: Practical Approaches to Hard Problems*, pages: 202-230, 7, (Editors: Bordeaux, L., Hamadi , Y., Kohli, P. and Mateescu, R. ), Cambridge University Press , 2013 (inbook)

**Modelling and Learning Approaches to Image Denoising**
Eberhard Karls Universität Tübingen, Germany, 2013 (phdthesis)

**Animating Samples from Gaussian Distributions**
(8), Max Planck Institute for Intelligent Systems, Tübingen, Germany, 2013 (techreport)

**Linear mixed models for genome-wide association studies**
University of Tübingen, Germany, 2013 (phdthesis)

**Maximizing Kepler science return per telemetered pixel: Detailed models of the focal plane in the two-wheel era**
*arXiv:1309.0653*, 2013 (techreport)

**Maximizing Kepler science return per telemetered pixel: Searching the habitable zones of the brightest stars**
*arXiv:1309.0654*, 2013 (techreport)

**On the Relations and Differences between Popper Dimension, Exclusion Dimension and VC-Dimension**
In *Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik*, pages: 53-57, 6, (Editors: Schölkopf, B., Luo, Z. and Vovk, V.), Springer, 2013 (inbook)

**Modeling and Learning Complex Motor Tasks: A case study on Robot Table Tennis**
Technical University Darmstadt, Germany, 2013 (phdthesis)

**Intention Inference and Decision Making with Hierarchical Gaussian Process Dynamics Models**
Technical University Darmstadt, Germany, 2013 (phdthesis)

**Computationally efficient algorithms for statistical image processing: Implementation in R**
(2010-053), EURANDOM, Technische Universiteit Eindhoven, December 2010 (techreport)

**Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference**
Max Planck Institute for Biological Cybernetics, December 2010 (techreport)

**Markerless tracking of Dynamic 3D Scans of Faces**
In *Dynamic Faces: Insights from Experiments and Computation*, pages: 255-276, (Editors: Curio, C., Bülthoff, H. H. and Giese, M. A.), MIT Press, Cambridge, MA, USA, December 2010 (inbook)

**Policy Gradient Methods**
In *Encyclopedia of Machine Learning*, pages: 774-776, (Editors: Sammut, C. and Webb, G. I.), Springer, Berlin, Germany, December 2010 (inbook)

**Approximate Inference in Graphical Models**
University of Cambridge, November 2010 (phdthesis)

**Method for determining a property map for an object in particular for a living being based on at least one first image in particular a nuclear magnetic resonance image**
European Patent, No. 2041719, October 2010 (patent)

**Bayesian Inference and Experimental Design for Large Generalised Linear Models**
Biologische Kybernetik, Technische Universität Berlin, Berlin, Germany, September 2010 (phdthesis)

**A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering**
Max Planck Institute for Biological Cybernetics, Tübingen, Germany, September 2010 (techreport)

**Sparse nonnegative matrix approximation: new formulations and algorithms**
(193), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, September 2010 (techreport)

**Robust nonparametric detection of objects in noisy images**
(2010-049), EURANDOM, Technische Universiteit Eindhoven, September 2010 (techreport)

**Method and device for recovering a digital image from a sequence of observed digital images**
United States Provisional Patent Application, No 61387025, September 2010 (patent)

**Method for feature selection in a support vector machine using feature ranking**
United States Patent, No 7805388, September 2010 (patent)

**Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models**
Max Planck Institute for Biological Cybernetics, August 2010 (techreport)

**Cooperative Cuts for Image Segmentation**
(UWEETR-1020-0003), University of Washington, Washington DC, USA, August 2010 (techreport)

**Inferring High-Dimensional Causal Relations using Free Probability Theory**
Humboldt Universität Berlin, Germany, August 2010 (diplomathesis)

**Fast algorithms for total-variationbased optimization**
(194), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, August 2010 (techreport)

**Kernels and methods for selecting kernels for use in learning machines**
United States Patent, No 7788193, August 2010 (patent)

**Predictive Representations For Sequential Decision Making Under Uncertainty**
Université Laval, Quebec, Canada, July 2010 (phdthesis)

**Semi-supervised Subspace Learning and Application to Human Functional Magnetic Brain Resonance Imaging Data**
Biologische Kybernetik, Eberhard Karls Universität, Tübingen, Germany, July 2010 (diplomathesis)

**Gaussian Mixture Modeling with Gaussian Process Latent Variable Models**
Max Planck Institute for Biological Cybernetics, June 2010 (techreport)