66 results
(View BibTeX file of all listed publications)

**Improving performance of linear field generation with multi-coil setup by optimizing coils position**
*Magnetic Resonance Materials in Physics, Biology and Medicine*, 30(Supplement 1):S259, 34th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB), October 2017 (poster)

**Estimating B0 inhomogeneities with projection FID navigator readouts**
25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), April 2017 (poster)

**Image Quality Improvement by Applying Retrospective Motion Correction on Quantitative Susceptibility Mapping and R2***
25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), April 2017 (poster)

**Robot Learning**
In *Springer Handbook of Robotics*, pages: 357-394, 15, 2nd, (Editors: Siciliano, Bruno and Khatib, Oussama), Springer International Publishing, 2017 (inbook)

**Policy Gradient Methods**
In *Encyclopedia of Machine Learning and Data Mining*, pages: 982-985, 2nd, (Editors: Sammut, Claude and Webb, Geoffrey I.), Springer US, 2017 (inbook)

**Unsupervised clustering of EOG as a viable substitute for optical eye-tracking**
In *First Workshop on Eye Tracking and Visualization (ETVIS 2015)*, pages: 151-167, Mathematics and Visualization, (Editors: Burch, M., Chuang, L., Fisher, B., Schmidt, A., and Weiskopf, D.), Springer, 2017 (inbook)

**Statistical Asymmetries Between Cause and Effect**
In *Time in Physics*, pages: 129-139, Tutorials, Schools, and Workshops in the Mathematical Sciences, (Editors: Renner, Renato and Stupar, Sandra), Springer International Publishing, Cham, 2017 (inbook)

**Robot Learning**
In *Encyclopedia of Machine Learning and Data Mining*, pages: 1106-1109, 2nd, (Editors: Sammut, Claude and Webb, Geoffrey I.), Springer US, 2017 (inbook)

**Generalized phase locking analysis of electrophysiology data**
*ESI Systems Neuroscience Conference (ESI-SyNC 2017): Principles of Structural and Functional Connectivity*, 2017 (poster)

**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)

**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)

**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)

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

**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)

**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)

**A Review of Performance Variations in SMR-Based Brain–Computer Interfaces (BCIs)**
In *Brain-Computer Interface Research*, pages: 39-51, 4, SpringerBriefs in Electrical and Computer Engineering, (Editors: Guger, C., Allison, B. Z. and Edlinger, G.), Springer, 2013 (inbook)

**Coupling between spiking activity and beta band spatio-temporal patterns in the macaque PFC**
43rd Annual Meeting of the Society for Neuroscience (Neuroscience), 2013 (poster)

**Gaussian Process Vine Copulas for Multivariate Dependence**
International Conference on Machine Learning (ICML), 2013 (poster)

**Domain Generalization via Invariant Feature Representation**
30th International Conference on Machine Learning (ICML2013), 2013 (poster)

**Semi-supervised learning in causal and anticausal settings**
In *Empirical Inference*, pages: 129-141, 13, Festschrift in Honor of Vladimir Vapnik, (Editors: Schölkopf, B., Luo, Z. and Vovk, V.), Springer, 2013 (inbook)

**Analyzing locking of spikes to spatio-temporal patterns in the macaque prefrontal cortex**
Bernstein Conference, 2013 (poster)

**Tractable large-scale optimization in machine learning**
In *Tractability: Practical Approaches to Hard Problems*, pages: 202-230, 7, (Editors: Bordeaux, L., Hamadi , Y., Kohli, P. and Mateescu, R. ), Cambridge University Press , 2013 (inbook)

**One-class Support Measure Machines for Group Anomaly Detection**
29th Conference on Uncertainty in Artificial Intelligence (UAI), 2013 (poster)

**The Randomized Dependence Coefficient**
Neural Information Processing Systems (NIPS), 2013 (poster)

**Characterization of different types of sharp-wave ripple signatures in the CA1 of the macaque hippocampus**
4th German Neurophysiology PhD Meeting Networks, 2013 (poster)

**On the Relations and Differences between Popper Dimension, Exclusion Dimension and VC-Dimension**
In *Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik*, pages: 53-57, 6, (Editors: Schölkopf, B., Luo, Z. and Vovk, V.), Springer, 2013 (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)

**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)

**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)

**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)

**An Introduction to Support Vector Machines**
In *Recent Advances and Trends in Nonparametric Statistics
*, pages: 3-17, (Editors: MG Akritas and DN Politis), Elsevier, Amsterdam, The Netherlands, 2003 (inbook)

**Statistical Learning and Kernel Methods in Bioinformatics**
In *Artificial Intelligence and Heuristic Methods in Bioinformatics*, 183, pages: 1-21, 3, (Editors: P Frasconi und R Shamir), IOS Press, Amsterdam, The Netherlands, 2003 (inbook)

**The importance of phase information for recognizing natural images**
2003 (poster)

**Statistical Learning and Kernel Methods**
In *Adaptivity and Learning—An Interdisciplinary Debate*, pages: 161-186, (Editors: R.Kühn and R Menzel and W Menzel and U Ratsch and MM Richter and I-O Stamatescu), Springer, Berlin, Heidelberg, Germany, 2003 (inbook)

**A Short Introduction to Learning with Kernels**
In *Proceedings of the Machine Learning Summer School, Lecture Notes in Artificial Intelligence, Vol. 2600*, pages: 41-64, LNAI 2600, (Editors: S Mendelson and AJ Smola), Springer, Berlin, Heidelberg, Germany, 2003 (inbook)

**Bayesian Kernel Methods**
In *Advanced Lectures on Machine Learning, Machine Learning Summer School 2002, Lecture Notes in Computer Science, Vol. 2600*, LNAI 2600, pages: 65-117, 0, (Editors: S Mendelson and AJ Smola), Springer, Berlin, Germany, 2003 (inbook)

**Stability of ensembles of kernel machines**
In 190, pages: 111-124, NATO Science Series III: Computer and Systems Science, (Editors: Suykens, J., G. Horvath, S. Basu, C. Micchelli and J. Vandewalle), IOS press, Netherlands, 2003 (inbook)