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

**Telling cause from effect in deterministic linear dynamical systems**
In *Proceedings of the 32nd International Conference on Machine Learning*, 37, pages: 285–294, JMLR Workshop and Conference Proceedings, (Editors: F. Bach and D. Blei), JMLR, ICML, 2015 (inproceedings)

**A Cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis**
In *Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics*, pages: 3187-3191, SMC, 2015 (inproceedings)

**Probabilistic numerics and uncertainty in computations**
*Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences*, 471(2179), 2015 (article)

**Efficient Learning of Linear Separators under Bounded Noise**
In *Proceedings of the 28th Conference on Learning Theory*, 40, pages: 167-190, (Editors: Grünwald, P. and Hazan, E. and Kale, S.), JMLR, COLT, 2015 (inproceedings)

**Learning multiple collaborative tasks with a mixture of Interaction Primitives**
In *IEEE International Conference on Robotics and Automation*, pages: 1535-1542, ICRA, 2015 (inproceedings)

**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)

**Mass and galaxy distributions of four massive galaxy clusters from Dark Energy Survey Science Verification data**
*Monthly Notices of the Royal Astronomical Society*, 449(3):2219-2238, Oxford University Press, 2015 (article)

**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)

**The search for single exoplanet transits in the Kepler light curves**
*IAU General Assembly*, 22, pages: 2258352, 2015 (talk)

**Entropic Movement Complexity Reflects Subjective Creativity Rankings of Visualized Hand Motion Trajectories**
*Frontiers in Psychology*, 6(1879):1-13, December 2015 (article)

**Bounded rationality, abstraction and hierarchical decision-making: an information-theoretic optimality principle**
*Frontiers in Robotics and AI*, 2(27):1-24, October 2015 (article)

**Developing neural networks with neurons competing for survival**
pages: 152-153, IEEE, Piscataway, NJ, USA, 5th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (IEEE ICDL-EPIROB), August 2015 (conference)

**Signaling equilibria in sensorimotor interactions**
*Cognition*, 141, pages: 73-86, August 2015 (article)

**Structure Learning in Bayesian Sensorimotor Integration**
*PLoS Computational Biology*, 11(8):1-27, August 2015 (article)

**A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker**
*Neural Computation*, 27(8):1686-1720, July 2015 (article)

**What is epistemic value in free energy models of learning and acting? A bounded rationality perspective**
*Cognitive Neuroscience*, 6(4):215-216, December 2015 (article)

**Regularized principal manifolds**
*Journal of Machine Learning Research*, 1, pages: 179-209, June 2001 (article)

**Variationsverfahren zur Untersuchung von
Grundzustandseigenschaften des Ein-Band Hubbard-Modells**
Biologische Kybernetik, Technische Universität Dresden, Dresden/Germany, May 2001 (diplomathesis)

**The psychometric function: II. Bootstrap-based confidence intervals and sampling**
*Perception and Psychophysics*, 63 (8), pages: 1314-1329, 2001 (article)

**The psychometric function: I. Fitting, sampling and goodness-of-fit**
*Perception and Psychophysics*, 63 (8), pages: 1293-1313, 2001 (article)

**Unsupervised Segmentation and Classification of Mixtures of Markovian Sources**
In *The 33rd Symposium on the Interface of Computing Science and Statistics (Interface 2001 - Frontiers in Data Mining and Bioinformatics)*, pages: 1-15, 33rd Symposium on the Interface of Computing Science and Statistics (Interface - Frontiers in Data Mining and Bioinformatics), 2001 (inproceedings)

**Markovian domain fingerprinting: statistical segmentation of protein sequences**
*Bioinformatics*, 17(10):927-934, 2001 (article)

**Unsupervised Sequence Segmentation by a
Mixture of Switching Variable Memory Markov Sources**
In *In the proceeding of the 18th International Conference on Machine Learning (ICML 2001)*, pages: 513-520, 18th International Conference on Machine Learning (ICML), 2001 (inproceedings)

**Inference Principles and Model Selection**
(01301), Dagstuhl Seminar, 2001 (techreport)

**Incorporating invariances in support vector learning machines**
In *Artificial Neural Networks: ICANN 96, LNCS vol. 1112*, pages: 47-52, (Editors: C von der Malsburg and W von Seelen and JC Vorbrüggen and B Sendhoff), Springer, Berlin, Germany, 6th International Conference on Artificial Neural Networks, July 1996, volume 1112 of Lecture Notes in Computer Science
(inproceedings)