79 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)

**ABCDP: Approximate Bayesian Computation Meets Differential Privacy **
2019 (misc) Submitted

**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)

**Natural Actor-Critic**
NIPS Workshop " Planning for the Real World: The promises and challenges of dealing with uncertainty", December 2003 (poster)

**Texture and haptic cues in slant discrimination: Measuring the effect of texture type on cue combination**
*Journal of Vision*, 3(12):26, 2003 Fall Vision Meeting of the Optical Society of America, December 2003 (poster)

Csato, L.
**Sparse Gaussian Process Tooblox - Demonstration**
16, December 2003 (poster)

**Real-Time Face Detection**
Biologische Kybernetik, Eberhard-Karls-Universitaet Tuebingen, Tuebingen, Germany, October 2003 (diplomathesis)

**Ladungsträgerdynamik in optisch angeregten GaAs-Quantendrähten:Relaxation und Transport**
Biologische Kybernetik, Institut für Festkörpertheorie, WWU Münster, June 2003 (diplomathesis)

**A unifying computational framework for optimization and dynamic systemsapproaches to motor control**
*10th Joint Symposium on Neural Computation (JSNC 2003)*, 10, pages: 1, May 2003 (poster)

**Kernel Methods for Classification and Signal Separation**
pages: 226, Biologische Kybernetik, University of Cambridge, Cambridge, April 2003 (phdthesis)

**A Unifying Computational Framework for Optimization and Dynamic Systems Approaches to Motor Control**
*13th Annual Neural Control of Movement Meeting 2003*, 13, pages: 1, April 2003 (poster)

**Phase Information and the Recognition of Natural Images**
6, pages: 138, (Editors: H.H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann), 6. T{\"u}binger Wahrnehmungskonferenz (TWK), February 2003 (poster)

**Constraints measures and reproduction of style in robot imitation learning**
6, pages: 70, (Editors: H.H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann), 6. T{\"u}binger Wahrnehmungskonferenz (TWK), February 2003 (poster)

**Study of Human Classification using Psychophysics and Machine Learning**
6, pages: 149, (Editors: H.H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann), 6. T{\"u}binger Wahrnehmungskonferenz (TWK), Febuary 2003 (poster)

**A Representation of Complex Movement Sequences Based on Hierarchical Spatio-Temporal Correspondence for Imitation Learning in Robotics**
6, pages: 74, (Editors: H.H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann), 6. T{\"u}binger Wahrnehmungskonferenz (TWK), February 2003 (poster)

**Support Vector Machines**
In *Handbook of Brain Theory and Neural Networks (2nd edition)*, pages: 1119-1125, (Editors: MA Arbib), MIT Press, Cambridge, MA, USA, 2003 (inbook)

**Large margin Methods in Label Sequence Learning**
Brown University, Providence, RI, USA, 2003 (mastersthesis)

**Extension of the nu-SVM range for classification**
In *Advances in Learning Theory: Methods, Models and Applications, NATO Science Series III: Computer and Systems Sciences, Vol. 190*, 190, pages: 179-196, NATO Science Series III: Computer and Systems Sciences, (Editors: J Suykens and G Horvath and S Basu and C Micchelli and J Vandewalle), IOS Press, Amsterdam, 2003 (inbook)