46 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)

**Analysis of multiparametric MRI using a semi-supervised random forest framework allows the detection of therapy response in ischemic stroke**
World Molecular Imaging Conference, 2016 (talk)

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

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

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2016 (unpublished) Submitted

**Multi-view learning on multiparametric PET/MRI quantifies intratumoral heterogeneity and determines therapy efficacy**
World Molecular Imaging Conference, 2016 (talk)

**BCPy2000**
Workshop "Machine Learning Open-Source Software" at NIPS, December 2008 (talk)

**Logistic Regression for Graph Classification**
NIPS Workshop on "Structured Input - Structured Output" (NIPS SISO), December 2008 (talk)

**New Projected Quasi-Newton Methods with Applications**
Microsoft Research Tech-talk, December 2008 (talk)

**MR-Based PET Attenuation Correction: Initial Results for Whole Body**
Medical Imaging Conference, October 2008 (talk)

**Nonparametric Indepedence Tests: Space Partitioning and Kernel Approaches**
19th International Conference on Algorithmic Learning Theory (ALT08), October 2008 (talk)

**Data-driven goodness-of-fit tests**
2008 Barcelona Conference on Asymptotic Statistics (BAS), September 2008 (talk)

**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)

**mGene: A Novel Discriminative Gene Finder**
Worm Genomics and Systems Biology meeting, July 2008 (talk)

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

**Discovering Common Sequence Variation in
Arabidopsis thaliana**
16th Annual International Conference Intelligent Systems for Molecular Biology (ISMB), July 2008 (talk)

**Coding Theory in Brain-Computer Interfaces**
Soria Summerschool on Computational Mathematics "Algebraic Coding Theory" (S3CM), July 2008 (talk)

**Motor Skill Learning for Cognitive Robotics**
6th International Cognitive Robotics Workshop (CogRob), July 2008 (talk)

**Painless Embeddings of Distributions: the Function Space View (Part 1)**
25th International Conference on Machine Learning (ICML), July 2008 (talk)

**Reinforcement Learning for Robotics**
8th European Workshop on Reinforcement Learning for Robotics (EWRL), July 2008 (talk)

**Multi-Classification by Categorical Features via Clustering**
25th International Conference on Machine Learning (ICML), June 2008 (talk)

**Thin-Plate Splines Between Riemannian Manifolds**
Workshop on Geometry and Statistics of Shapes, June 2008 (talk)

**Learning resolved velocity control**
2008 IEEE International Conference on Robotics and Automation (ICRA), May 2008 (talk)

**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)

**Bayesian methods for protein structure determination**
Machine Learning in Structural Bioinformatics, April 2008 (talk)

**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)

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

Bousquet, O.
**Transductive Learning: Motivation, Models, Algorithms**
January 2002 (talk)

**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)

**Three-dimensional reconstruction of planar scenes**
Biologische Kybernetik, INP Grenoble, Warsaw University of Technology, September 2000 (diplomathesis)

Zhou, D.
**Intelligence as a Complex System**
Biologische Kybernetik, 2000 (phdthesis)

**Neural Networks in Robot Control**
Biologische Kybernetik, Fernuniversität Hagen, Hagen, Germany, 2000 (diplomathesis)