57 results
(View BibTeX file of all listed publications)

**Controlling Heterogeneous Stochastic Growth Processes on Lattices with Limited Resources**
*In Proceedings of the 58th IEEE International Conference on Decision and Control (CDC) *, 58th IEEE International Conference on Decision and Control (CDC), December 2019 (proceedings) Accepted

**Fast and Resource-Efficient Control of Wireless Cyber-Physical Systems**
KTH Royal Institute of Technology, Stockholm, Febuary 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)

**Novel X-ray lenses for direct and coherent imaging**
Universität Stuttgart, Stuttgart, 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)

**Actively Learning Dynamical Systems with Gaussian Processes**
Mines ParisTech, PSL Research University, 2019 (mastersthesis)

**Reaction graph kernels for discovering missing enzymes in the plant secondary metabolism**
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)

**Positional Oligomer Importance Matrices**
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)

**Machine Learning Algorithms for Polymorphism Detection**
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)

**An Automated Combination of Kernels for Predicting Protein Subcellular Localization**
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)

**Challenges in Brain-Computer Interface Development: Induction, Measurement, Decoding, Integration**
Invited keynote talk at the launch of BrainGain, the Dutch BCI research consortium, November 2007 (talk)

**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)

**Policy Learning for Robotics**
14th International Conference on Neural Information Processing (ICONIP), November 2007 (talk)

**Hilbert Space Representations of Probability Distributions**
2nd Workshop on Machine Learning and Optimization at the ISM, October 2007 (talk)

**Regression with Intervals**
International Workshop on Data-Mining and Statistical Science (DMSS2007), October 2007, JSAI Incentive Award. Talk was given by Hisashi Kashima. (talk)

**MR-Based PET Attenuation Correction: Method and Validation**
Joint Molecular Imaging Conference, September 2007 (talk)

**Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference**
*Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006)*, pages: 1690, MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (proceedings)

**Bayesian methods for NMR structure determination**
29th Annual Discussion Meeting: Magnetic Resonance in Biophysical Chemistry, September 2007 (talk)

**Collaborative Filtering via Ensembles of Matrix Factorizations**
KDD Cup and Workshop, August 2007 (talk)

**Thinking Out Loud: Research and Development of Brain Computer Interfaces**
Invited keynote talk at the Max Planck Society‘s PhDNet Workshop., July 2007 (talk)

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

**Local Learning Algorithms for Transductive Classification, Clustering and Data Projection**
Yahoo Inc., July 2007 (talk)

**Dirichlet Process Mixtures of Factor Analysers**
Fifth Workshop on Bayesian Inference in Stochastic Processes (BSP5), June 2007 (talk)

**New BCI approaches: Selective Attention to Auditory and Tactile Stimulus Streams**
Invited talk at the PASCAL Workshop on Methods of Data Analysis in Computational Neuroscience and Brain Computer Interfaces, June 2007 (talk)

**Towards Motor Skill Learning in Robotics**
Interactive Robot Learning - RSS workshop, June 2007 (talk)

**Transductive Support Vector Machines for Structured Variables**
International Conference on Machine Learning (ICML), June 2007 (talk)

**Impact of target-to-target interval on classification performance in the P300 speller**
Scientific Meeting "Applied Neuroscience for Healthy Brain Function", May 2007 (talk)

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

**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)

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

**New Margin- and Evidence-Based Approaches for EEG Signal Classification**
Invited talk at the FaSor Jahressymposium, February 2007 (talk)

**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)

**On the theory of magnetization dynamics of non-collinear spin systems in the s-d model**
Universität Stuttgart, Stuttgart, 2007 (mastersthesis)

**Zur ab-initio Elektronentheorie des Magnetismus bei endlichen Temperaturen**
Universität Stuttgart, Stuttgart, 2007 (mastersthesis)

**Röntgenzirkulardichroische Untersuchungen an ferromagnetischen verdünnten Halbleitersystemen**
Universität Stuttgart, Stuttgart, 2007 (mastersthesis)

**Low-dimensional Fe on vicinal Ir(997): Growth and magnetic properties**
Universität Stuttgart, Stuttgart, 2007 (mastersthesis)

**Micromagnetic simulations of switching processes and the role of thermal fluctuations**
Universität Stuttgart, Stuttgart, 2007 (mastersthesis)

**Physisorption von Wasserstoff in neuen Materialien mit gro\sser spezifischer Oberfläche**
Universität Bonn, Bonn, 2007 (mastersthesis)

**Towards spin injection into silicon**
Universität Stuttgart, Stuttgart, 2007 (phdthesis)

**Bestimmung der kritischen Schichtdicken ferromagnetischer Plättchen für Eindomänenverhalten**
Universität Stuttgart, Stuttgart, 2007 (mastersthesis)

**Zeitaufgelöste Röntgenmikroskopie an magnetischen Mikrostrukturen**
Universität Stuttgart, Stuttgart, 2007 (phdthesis)

**Vortex dynamics studied by time-resolved X-ray microscopy**
Universität Stuttgart, Stuttgart, 2007 (phdthesis)