70 results
(View BibTeX file of all listed publications)

**A virtual reality environment for experiments in assistive robotics and neural interfaces**
Graduate School of Neural Information Processing, Eberhard Karls Universität Tübingen, Germany, 2018 (mastersthesis)

**Optimal Trajectory Generation and Learning Control for Robot Table Tennis**
Technical University Darmstadt, Germany, 2018 (phdthesis)

**On the Applicability of Machine Learning to Aid the Search for Gravitational Waves at the LIGO Experiment**
Karlsruhe Institute of Technology, Germany, 2018 (mastersthesis)

**Distribution-Dissimilarities in Machine Learning**
Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)

**Domain Adaptation Under Causal Assumptions**
Eberhard Karls Universität Tübingen, Germany, 2018 (mastersthesis)

Suter, R.
**A Causal Perspective on Deep Representation Learning**
ETH Zurich, 2018 (mastersthesis)

**Probabilistic Approaches to Stochastic Optimization**
Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)

**Improving Tissue Differentiation based on Optical Emission Spectroscopy for Guided Electrosurgical Tumor Resection with Machine Learning**
Eberhard Karls Universität Tübingen, Germany, 2018 (mastersthesis)

**Reinforcement Learning for High-Speed Robotics with Muscular Actuation**
Ruprecht-Karls-Universität Heidelberg , 2018 (mastersthesis)

**Probabilistic Ordinary Differential Equation Solvers — Theory and Applications**
Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)

** A machine learning approach to taking EEG-based computer interfaces out of the lab**
Graduate Training Centre of Neuroscience, IMPRS, Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)

**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2016 (unpublished) Submitted

**Some Theoretical Aspects of Human Categorization Behavior: Similarity and Generalization**
Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, November 2007, passed with "ausgezeichnet", summa cum laude, published online (phdthesis)

**Statistical Learning Theory Approaches to Clustering**
Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, November 2007 (diplomathesis)

**Bayesian Estimators for Robins-Ritovs Problem**
(EDI-INF-RR-1189), School of Informatics, University of Edinburgh, October 2007 (techreport)

**Learning with Transformation Invariant Kernels**
(165), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, September 2007 (techreport)

**Scalable Semidefinite Programming using Convex Perturbations**
(TR-07-47), University of Texas, Austin, TX, USA, September 2007 (techreport)

**Sparse Multiscale Gaussian Process Regression**
(162), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, August 2007 (techreport)

**Efficient Subwindow Search for Object Localization**
(164), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, August 2007 (techreport)

**Error Correcting Codes for the P300 Visual Speller**
Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, July 2007 (diplomathesis)

**Data-driven goodness-of-fit tests**
Biologische Kybernetik, Georg-August-Universität Göttingen, Göttingen, Germany, July 2007 (phdthesis)

**Cluster Identification in Nearest-Neighbor Graphs**
(163), Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, May 2007 (techreport)

**Nonparametric Bayesian Discrete Latent Variable Models for Unsupervised Learning**
Biologische Kybernetik, Technische Universität Berlin, Berlin, Germany, April 2007, published online (phdthesis)

**Exploring model selection techniques for nonlinear dimensionality reduction**
(EDI-INF-RR-0960), School of Informatics, University of Edinburgh, March 2007 (techreport)

**Dirichlet Mixtures of Bayesian Linear Gaussian State-Space Models: a Variational Approach**
(161), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, March 2007 (techreport)

**Applications of Kernel Machines to Structured Data**
Biologische Kybernetik, Technische Universität Berlin, Berlin, Germany, March 2007, passed with "sehr gut", published online (phdthesis)

**A priori Knowledge from Non-Examples**
Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, March 2007 (diplomathesis)

**Modeling data using directional distributions: Part II**
(TR-07-05), University of Texas, Austin, TX, USA, February 2007 (techreport)

**Automatic 3D Face Reconstruction from Single Images or Video**
(160), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, February 2007 (techreport)

**Machine Learning for Mass Production and Industrial Engineering**
Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, February 2007 (phdthesis)

**Development of a Brain-Computer Interface Approach Based on Covert Attention to Tactile Stimuli**
University of Tübingen, Germany, University of Tübingen, Germany, January 2007 (diplomathesis)

**A Machine Learning Approach for Estimating the Attenuation Map for a Combined PET/MR Scanner**
Biologische Kybernetik, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, 2007 (diplomathesis)

**Machine Learning of Motor Skills for Robotics**
University of Southern California, Los Angeles, CA, USA, University of Southern California, Los Angeles, CA, USA, 2007, clmc (phdthesis)

**Relative Entropy Policy Search**
*CLMC Technical Report: TR-CLMC-2007-2*, Computational Learning and Motor Control Lab, Los Angeles, CA, 2007, clmc (techreport)

**Popper, Falsification and the VC-dimension**
(145), Max Planck Institute for Biological Cybernetics, November 2005 (techreport)

**Extension to Kernel Dependency Estimation with Applications to Robotics**
Biologische Kybernetik, Technische Universität Berlin, Berlin, November 2005 (phdthesis)

**Geometrical aspects of statistical learning theory**
Biologische Kybernetik, Darmstadt, Darmstadt, November 2005 (phdthesis)

**Implicit Surfaces For Modelling
Human Heads**
Biologische Kybernetik, Eberhard-Karls-Universität, Tübingen, September 2005 (diplomathesis)

**Machine Learning Methods for Brain-Computer Interdaces**
Biologische Kybernetik, University of Darmstadt, September 2005 (phdthesis)

**A Combinatorial View of Graph Laplacians**
(144), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, August 2005 (techreport)

**Beyond Pairwise Classification and Clustering Using Hypergraphs**
(143), Max Planck Institute for Biological Cybernetics, August 2005 (techreport)

**Liver Perfusion using Level Set Methods**
Biologische Kybernetik, Shanghai JiaoTong University, Shanghai, China, July 2005 (diplomathesis)

**Generalized Nonnegative Matrix Approximations using Bregman Divergences**
Univ. of Texas at Austin, June 2005 (techreport)

**Measuring Statistical Dependence with Hilbert-Schmidt Norms**
(140), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, June 2005 (techreport)

**Consistency of Kernel Canonical Correlation Analysis**
(942), Institute of Statistical Mathematics, 4-6-7 Minami-azabu, Minato-ku, Tokyo 106-8569 Japan, June 2005 (techreport)

**Efficient Adaptive Sampling of the Psychometric Function by Maximizing Information Gain**
Biologische Kybernetik, Eberhard-Karls University Tübingen, Tübingen, Germany, May 2005 (diplomathesis)

**Discriminative Methods for Label Sequence Learning**
Brown University, Providence, RI, USA, May 2005 (phdthesis)

**Support Vector Classification of Images with Local Features**
Biologische Kybernetik, University of Massachusetts, Amherst, May 2005 (diplomathesis)