102 results
(View BibTeX file of all listed publications)

**Semi-supervised learning, causality, and the conditional cluster assumption**
*NeurIPS 2019 Workshop “Do the right thing”: machine learning and causal inference for improved decision making*, December 2019 (poster)

**Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks**
*NeurIPS 2019 Workshop “Do the right thing”: machine learning and causal inference for improved decision making*, December 2019 (poster) Accepted

**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)

**Perception of temporal dependencies in autoregressive motion**
European Conference on Visual Perception (ECVP), 2019 (poster)

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

**Phenomenal Causality and Sensory Realism**
European Conference on Visual Perception (ECVP), 2019 (poster)

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

**Diversity of sharp wave-ripples in the CA1 of the macaque hippocampus and their brain wide signatures**
*45th Annual Meeting of the Society for Neuroscience (Neuroscience 2015)*, October 2015 (poster)

**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)

**Kernel methods in medical imaging**
In *Handbook of Biomedical Imaging*, pages: 63-81, 4, (Editors: Paragios, N., Duncan, J. and Ayache, N.), Springer, Berlin, Germany, June 2015 (inbook)

**Retrospective rigid motion correction of undersampled MRI data**
*23rd Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine*, ISMRM, June 2015 (poster)

**Improving Quantitative Susceptibility and R2* Mapping by Applying Retrospective Motion Correction**
*23rd Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine*, ISMRM, June 2015 (poster)

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

**Increasing the sensitivity of Kepler to Earth-like exoplanets**
*Workshop: 225th American Astronomical Society Meeting 2015 *, pages: 105.01D, 2015 (poster)

**Calibrating the pixel-level Kepler imaging data with a causal data-driven model **
*Workshop: 225th American Astronomical Society Meeting 2015 *, pages: 258.08, 2015 (poster)

**Statistical and Machine Learning Methods for Neuroimaging: Examples, Challenges, and Extensions to Diffusion Imaging Data**
In *Visualization and Processing of Higher Order Descriptors for Multi-Valued Data*, pages: 299-319, (Editors: Hotz, I. and Schultz, T.), Springer, 2015 (inbook)

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

**Assessment of tumor heterogeneity using unsupervised graph based clustering of multi-modality imaging data**
European Molecular Imaging Meeting, 2015 (poster)

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

**Novel segmentation of dynamic [18]F-FDG PET bypasses the need of arterial plasma input function, delivering a robust quantification of the tumor microenvironment**
World Molecular Imaging Conference, 2015 (poster)

**Disparity estimation from a generative light field model**
*IEEE International Conference on Computer Vision (ICCV 2015), Workshop on Inverse Rendering*, 2015, Note: This work has been presented as a poster and is not included in the workshop proceedings. (poster)

**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)

**Justifying Information-Geometric Causal Inference**
In *Measures of Complexity: Festschrift for Alexey Chervonenkis*, pages: 253-265, 18, (Editors: Vovk, V., Papadopoulos, H. and Gammerman, A.), Springer, 2015 (inbook)

**Some observations on the pedestal effect or dipper function**
*Journal of Vision*, 6(13):50, 2006 Fall Vision Meeting of the Optical Society of America, December 2006 (poster)

**Prediction of Protein Function from Networks**
In *Semi-Supervised Learning*, pages: 361-376, Adaptive Computation and Machine Learning, (Editors: Chapelle, O. , B. Schölkopf, A. Zien), MIT Press, Cambridge, MA, USA, November 2006 (inbook)

**Discrete Regularization**
In *Semi-supervised Learning*, pages: 237-250, Adaptive computation and machine learning, (Editors: O Chapelle and B Schölkopf and A Zien), MIT Press, Cambridge, MA, USA, November 2006 (inbook)

**Optimizing Spatial Filters for BCI: Margin- and Evidence-Maximization Approaches**
*Challenging Brain-Computer Interfaces: MAIA Workshop 2006*, pages: 1, November 2006 (poster)

**Extraction of visual features from natural video data using Slow Feature Analysis**
Biologische Kybernetik, Technische Universität Berlin, Berlin, Germany, September 2006 (diplomathesis)

**Learning Eye Movements**
*Sensory Coding And The Natural Environment*, 2006, pages: 1, September 2006 (poster)

**An Online-Computation Approach to Optimal Finite-Horizon State-Feedback Control of Nonlinear Stochastic Systems**
Biologische Kybernetik, Universität Karlsruhe (TH), Karlsruhe, Germany, August 2006 (diplomathesis)

**Classification of natural scenes: Critical features revisited**
*Journal of Vision*, 6(6):561, 6th Annual Meeting of the Vision Sciences Society (VSS), June 2006 (poster)

**The pedestal effect is caused by off-frequency looking, not nonlinear transduction or contrast gain-control**
*Journal of Vision*, 6(6):194, 6th Annual Meeting of the Vision Sciences Society (VSS), June 2006 (poster)

**Object Classification using Local Image Features**
Biologische Kybernetik, Technical University of Berlin, Berlin, Germany, May 2006 (diplomathesis)

**Kernel PCA for Image Compression**
Biologische Kybernetik, Eberhard-Karls-Universität, Tübingen, Germany, April 2006 (diplomathesis)

**The Pedestal Effect is Caused by Off-Frequency Looking, not Nonlinear Transduction or Contrast Gain-Control**
9, pages: 174, 9th T{\"u}bingen Perception Conference (TWK), March 2006 (poster)

**Efficient tests for the deconvolution hypothesis**
*Workshop on Statistical Inverse Problems*, March 2006 (poster)

**Gaussian Process Models for Robust Regression, Classification, and Reinforcement Learning**
Biologische Kybernetik, Technische Universität Darmstadt, Darmstadt, Germany, March 2006, passed with distinction, published online (phdthesis)

**Classification of Natural Scenes: Critical Features Revisited**
9, pages: 92, 9th T{\"u}bingen Perception Conference (TWK), March 2006 (poster)

**Factorial Coding of Natural Images: How Effective are Linear Models in Removing Higher-Order Dependencies?**
9, pages: 90, 9th T{\"u}bingen Perception Conference (TWK), March 2006 (poster)

**Nonstationary Gaussian Process Regression using a Latent Extension of the Input Space**
pages: 3, January 2006 (poster)