121 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)

**Similarities in resting state and feature-driven activity: Non-parametric evaluation of human fMRI**
NIPS Workshop on Learning and Planning from Batch Time Series Data, December 2010 (poster)

**Markerless tracking of Dynamic 3D Scans of Faces**
In *Dynamic Faces: Insights from Experiments and Computation*, pages: 255-276, (Editors: Curio, C., Bülthoff, H. H. and Giese, M. A.), MIT Press, Cambridge, MA, USA, December 2010 (inbook)

**Policy Gradient Methods**
In *Encyclopedia of Machine Learning*, pages: 774-776, (Editors: Sammut, C. and Webb, G. I.), Springer, Berlin, Germany, December 2010 (inbook)

**Augmentation of fMRI Data Analysis using Resting State Activity and Semi-supervised Canonical Correlation Analysis**
NIPS Women in Machine Learning Workshop (WiML), December 2010 (poster)

**High frequency phase-spike synchronization of extracellular signals modulates causal interactions in monkey primary visual cortex**
40(616.2), 40th Annual Meeting of the Society for Neuroscience (Neuroscience), November 2010 (poster)

**Attenuation Correction for Whole Body PET/MR: Quantitative Evaluation and Lung Attenuation Estimation with Consistency Information**
2010(M13-122), 2010 Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC), November 2010 (poster)

**Approximate Inference in Graphical Models**
University of Cambridge, November 2010 (phdthesis)

**PET/MRI: Observation of Non-Isotropic Positron Distribution in High Magnetic Fields and Its Diagnostic Impact**
*2010 Nuclear Science Symposium and Medical Imaging Conference*, 2010(M18-119):1, November 2010 (poster)

**Probabilistic Assignment of Chemical Shift Data for Semi-Automatic Amino Acid Recognition**
11(10):30, 11th Conference of Junior Neuroscientists of T{\"u}bingen (NeNa), October 2010 (poster)

**Generalizing Demonstrated Actions in Manipulation Tasks**
*IROS 2010 Workshop on Grasp Planning and Task Learning by Imitation*, 2010, pages: 1, October 2010 (poster)

**Bayesian Inference and Experimental Design for Large Generalised Linear Models**
Biologische Kybernetik, Technische Universität Berlin, Berlin, Germany, September 2010 (phdthesis)

**Inhomogeneous Positron Range Effects in High Magnetic Fields might Cause Severe Artefacts in PET/MRI**
(0305B), 2010 World Molecular Imaging Congress (WMIC), September 2010 (poster)

**Inferring High-Dimensional Causal Relations using Free Probability Theory**
Humboldt Universität Berlin, Germany, August 2010 (diplomathesis)

**Predictive Representations For Sequential Decision Making Under Uncertainty**
Université Laval, Quebec, Canada, July 2010 (phdthesis)

**Reinforcement Learning by Relative Entropy Policy Search**
*30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2010)*, 30, pages: 69, July 2010 (poster)

**Semi-supervised Subspace Learning and Application to Human Functional Magnetic Brain Resonance Imaging Data**
Biologische Kybernetik, Eberhard Karls Universität, Tübingen, Germany, July 2010 (diplomathesis)

**A Maximum Entropy Approach to Semi-supervised Learning**
*30th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2010)*, 30, pages: 80, July 2010 (poster)