43 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)

**easyGWAS: An Integrated Computational Framework for Advanced Genome-Wide Association Studies**
Eberhard Karls Universität Tübingen, November 2015 (phdthesis)

**Causal Discovery Beyond Conditional Independences**
Eberhard Karls Universität Tübingen, Germany, October 2015 (phdthesis)

**From Points to Probability Measures: A Statistical Learning on Distributions with Kernel Mean Embedding**
University of Tübingen, Germany, University of Tübingen, Germany, September 2015 (phdthesis)

**Machine Learning Approaches to Image Deconvolution**
University of Tübingen, Germany, University of Tübingen, Germany, September 2015 (phdthesis)

**Blind Retrospective Motion Correction of MR Images**
University of Tübingen, Germany, May 2015 (phdthesis)

**A Cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis**
Graduate Training Centre of Neuroscience, University of Tübingen, Germany, 2015 (mastersthesis)

**Sequential Image Deconvolution Using Probabilistic Linear Algebra**
Technical University of Munich, Germany, 2015 (mastersthesis)

**Causal Inference in Neuroimaging**
Graduate Training Centre of Neuroscience, University of Tübingen, Germany, 2015 (mastersthesis)

**The effect of frowning on attention**
Graduate Training Centre of Neuroscience, University of Tübingen, Germany, 2015 (mastersthesis)

**Crowdsourcing for optimisation of deconvolution methods via an iPhone application**
Hochschule Reutlingen, Germany, April 2011 (mastersthesis)

**Learning functions with kernel methods**
University of Pavia, Italy, January 2011 (phdthesis)

**Model Learning in Robot Control**
Albert-Ludwigs-Universität Freiburg, Germany, 2011 (phdthesis)

**Reinforcement Learning for Motor Primitives**
Biologische Kybernetik, University of Stuttgart, Stuttgart, Germany, August 2008 (diplomathesis)

**Asymmetries of Time Series under Inverting their Direction**
Biologische Kybernetik, University of Heidelberg, August 2008 (diplomathesis)

**Learning an Interest Operator from Human Eye Movements**
Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, July 2008 (phdthesis)

**Causal inference from statistical data**
Biologische Kybernetik, Technische Hochschule Karlsruhe, Karlsruhe, Germany, April 2008 (phdthesis)

**Pairwise Correlations and Multineuronal Firing Patterns in
Primary Visual Cortex**
Biologische Kybernetik, Eberhard Karls Universität Tübingen, Tübingen, Germany, April 2008 (diplomathesis)

**Development and Application of a Python Scripting Framework for BCI2000**
Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, January 2008 (diplomathesis)

**Efficient and Invariant Regularisation with Application to Computer Graphics**
Biologische Kybernetik, University of Queensland, Brisbane, Australia, January 2008 (phdthesis)

**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)

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

**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)

**Efficient Pattern Selection for Support Vector Classifiers and its CRM Application**
Biologische Kybernetik, Seoul National University, Seoul, Korea, February 2005 (phdthesis)

**Kernels: Regularization and Optimization**
Biologische Kybernetik, The Australian National University, Canberra, Australia, 2005 (phdthesis)

**Nonlinear Multivariate Analysis with Geodesic Kernels**
Biologische Kybernetik, Technische Universität Berlin, February 2002 (diplomathesis)

**Concentration Inequalities and Empirical Processes Theory Applied to the Analysis of Learning Algorithms**
Biologische Kybernetik, Ecole Polytechnique, 2002 (phdthesis) Accepted

**Support Vector Machines: Induction Principle, Adaptive Tuning and Prior Knowledge**
Biologische Kybernetik, 2002 (phdthesis)