121 results
(View BibTeX file of all listed publications)

**Robot Learning for Muscular Robots**
Technical University Darmstadt, Germany, December 2019 (phdthesis)

**Real Time Probabilistic Models for Robot Trajectories**
Technical University Darmstadt, Germany, December 2019 (phdthesis)

**Learning Transferable Representations**
University of Cambridge, UK, 2019 (phdthesis)

**Sample-efficient deep reinforcement learning for continuous control**
University of Cambridge, UK, 2019 (phdthesis)

**Formally justified and modular Bayesian inference for probabilistic programs**
University of Cambridge, UK, 2019 (phdthesis)

**Spatial Filtering based on Riemannian Manifold for Brain-Computer Interfacing**
Technical University of Munich, Germany, 2019 (mastersthesis)

**Pragmatism and Variable Transformations in Causal Modelling**
ETH Zurich, 2019 (phdthesis)

**Quantification of tumor heterogeneity using PET/MRI and machine learning**
Eberhard Karls Universität Tübingen, Germany, 2019 (phdthesis)

**Advances in Probabilistic Modelling: Sparse Gaussian Processes, Autoencoders, and Few-shot Learning**
University of Cambridge, UK, 2019 (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)

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

**Learning an Interactive Segmentation System**
Max Planck Institute for Biological Cybernetics, December 2009 (techreport)

**Machine Learning for Brain-Computer Interfaces**
Mini-Symposia on Assistive Machine Learning for People with Disabilities at NIPS (AMD), December 2009 (talk)

**PAC-Bayesian Approach to Formulation of Clustering Objectives**
NIPS Workshop on "Clustering: Science or Art? Towards Principled Approaches", December 2009 (talk)

**Semi-supervised Kernel Canonical Correlation Analysis of Human Functional Magnetic Resonance Imaging Data**
Women in Machine Learning Workshop (WiML), December 2009 (talk)

**Detection of objects in noisy images and site percolation on square lattices**
(2009-035), EURANDOM, Technische Universiteit Eindhoven, November 2009 (techreport)

**An Incremental GEM Framework for Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction**
(187), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2009 (techreport)

**Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution**
(188), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2009 (techreport)

**Event-Related Potentials in Brain-Computer Interfacing**
Invited lecture on the bachelor & masters course "Introduction to Brain-Computer Interfacing", October 2009 (talk)

**BCI2000 and Python**
Invited lecture at the 5th International BCI2000 Workshop, October 2009 (talk)

**Implementing a Signal Processing Filter in BCI2000 Using C++**
Invited lecture at the 5th International BCI2000 Workshop, October 2009 (talk)

**Algebraic polynomials and moments of stochastic integrals**
(2009-031), EURANDOM, Technische Universiteit Eindhoven, October 2009 (techreport)

**Kernel Learning Approaches for Image Classification**
Biologische Kybernetik, Universität des Saarlandes, Saarbrücken, Germany, October 2009 (phdthesis)

**A PAC-Bayesian Approach to Structure Learning**
Biologische Kybernetik, The Hebrew University of Jerusalem, Israel, September 2009 (phdthesis)

**Expectation Propagation on the Maximum of Correlated Normal Variables**
Cavendish Laboratory: University of Cambridge, July 2009 (techreport)

**Consistent Nonparametric Tests of Independence**
(172), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, July 2009 (techreport)

**Randomized algorithms for statistical image analysis based on percolation theory**
27th European Meeting of Statisticians (EMS), July 2009 (talk)

**Learning Motor Primitives for Robotics**
Advanced Telecommunications Research Center ATR, June 2009 (talk)

**Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer**
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2009 (talk)

**Semi-supervised subspace analysis of human functional magnetic resonance imaging data**
(185), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, May 2009 (techreport)

**Kernel Methods in Computer Vision:Object Localization, Clustering,and Taxonomy Discovery**
Biologische Kybernetik, Technische Universität Berlin, Berlin, Germany, March 2009 (phdthesis)

**Model selection, large deviations and consistency of data-driven tests**
(2009-007), EURANDOM, Technische Universiteit Eindhoven, March 2009 (techreport)

**Motor Control and Learning in Table Tennis**
Eberhard Karls Universität Tübingen, Gerrmany, 2009 (diplomathesis)

**Hierarchical Clustering and Density Estimation Based on k-nearest-neighbor graphs**
Eberhard Karls Universität Tübingen, Germany, 2009 (diplomathesis)

**Learning with Structured Data: Applications to Computer Vision**
Technische Universität Berlin, Germany, 2009 (phdthesis)

**From Differential Equations to Differential Geometry: Aspects of Regularisation in Machine Learning**
Universität des Saarlandes, Saarbrücken, Germany, 2009 (phdthesis)

**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)

**Frequent Subgraph Retrieval in Geometric Graph Databases**
(180), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2008 (techreport)

**Simultaneous Implicit Surface
Reconstruction and Meshing**
(179), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2008 (techreport)

**Taxonomy Inference Using Kernel Dependence
Measures**
(181), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2008 (techreport)

**Infinite Kernel Learning**
(178), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, October 2008 (techreport)

**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)

**Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models**
(175), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, September 2008 (techreport)

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

**Block-Iterative Algorithms for
Non-Negative Matrix Approximation**
(176), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, September 2008 (techreport)