624 results
(View BibTeX file of all listed publications)

**Learning responsive robot behavior by imitation**
In *IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013)*, pages: 3257-3264, IEEE, 2013 (inproceedings)

**Learning Skills with Motor Primitives**
In *Proceedings of the 16th Yale Workshop on Adaptive and Learning Systems*, 2013 (inproceedings)

**Scalable Influence Estimation in Continuous-Time Diffusion Networks**
In *Advances in Neural Information Processing Systems 26*, pages: 3147-3155, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Rapid Distance-Based Outlier Detection via Sampling**
In *Advances in Neural Information Processing Systems 26*, pages: 467-475, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Probabilistic Movement Primitives**
In *Advances in Neural Information Processing Systems 26*, pages: 2616-2624, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Causal Inference on Time Series using Restricted Structural Equation Models**
In *Advances in Neural Information Processing Systems 26*, pages: 154-162, (Editors: C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Regression-tree Tuning in a Streaming Setting**
In *Advances in Neural Information Processing Systems 26*, pages: 1788-1796, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Density estimation from unweighted k-nearest neighbor graphs: a roadmap**
In *Advances in Neural Information Processing Systems 26*, pages: 225-233, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Open-Box Spectral Clustering: Applications to Medical Image Analysis**
*IEEE Transactions on Visualization and Computer Graphics*, 19(12):2100-2108, 2013 (article)

**PAC-Bayes-Empirical-Bernstein Inequality**
In *Advances in Neural Information Processing Systems 26*, pages: 109-117, (Editors: C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**im3shape: a maximum likelihood galaxy shear measurement code for cosmic gravitational lensing**
*Monthly Notices of the Royal Astronomical Society*, 434(2):1604-1618, Oxford University Press, 2013 (article)

**Linear mixed models for genome-wide association studies**
University of Tübingen, Germany, 2013 (phdthesis)

**PLAL: Cluster-based active learning**
In *Proceedings of the 26th Annual Conference on Learning Theory*, 30, pages: 376-397, (Editors: Shalev-Shwartz, S. and Steinwart, I.), JMLR, COLT, 2013 (inproceedings)

**Maximizing Kepler science return per telemetered pixel: Detailed models of the focal plane in the two-wheel era**
*arXiv:1309.0653*, 2013 (techreport)

**Accurate detection of differential RNA processing**
*Nucleic Acids Research*, 41(10):5189-5198, 2013 (article)

**Monochromatic Bi-Clustering**
In *Proceedings of the 30th International Conference on Machine Learning*, 28, pages: 145-153, (Editors: Dasgupta, S. and McAllester, D.), JMLR, ICML, 2013 (inproceedings)

**Maximizing Kepler science return per telemetered pixel: Searching the habitable zones of the brightest stars**
*arXiv:1309.0654*, 2013 (techreport)

**Detecting regulatory gene–environment interactions with unmeasured environmental factors**
*Bioinformatics*, 29(11):1382-1389, 2013 (article)

**Significance of variable height-bandwidth group delay filters in the spectral reconstruction of speech**
*INTERSPEECH 2013, 14th Annual Conference of the International Speech Communication Association*, pages: 1682-1686, 2013 (conference)

**Generative Multiple-Instance Learning Models For Quantitative Electromyography**
In *Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence*, AUAI Press, UAI, 2013 (inproceedings)

**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)

**Modeling and Learning Complex Motor Tasks: A case study on Robot Table Tennis**
Technical University Darmstadt, Germany, 2013 (phdthesis)

**Fragmentation of Slow Wave Sleep after Onset of Complete Locked-In State**
*Journal of Clinical Sleep Medicine*, 9(9):951-953, 2013 (article)

**Automatic Malaria Diagnosis system**
In *First RSI/ISM International Conference on Robotics and Mechatronics (ICRoM)*, pages: 205-211, 2013 (inproceedings)

**Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik**
Springer, 2013 (book)

**Intention Inference and Decision Making with Hierarchical Gaussian Process Dynamics Models**
Technical University Darmstadt, Germany, 2013 (phdthesis)

Braun, D
**Structural learning**
*Scholarpedia*, 8(10):12312, October 2013 (article)

**The effect of model uncertainty on cooperation in sensorimotor interactions**
*Journal of the Royal Society Interface*, 10(87):1-11, October 2013 (article)

**Thermodynamics as a theory of decision-making with information-processing costs**
*Proceedings of the Royal Society of London A*, 469(2153):1-18, May 2013 (article)

**Abstraction in Decision-Makers with Limited Information Processing Capabilities**
pages: 1-9, NIPS Workshop Planning with Information Constraints for Control, Reinforcement Learning, Computational Neuroscience, Robotics and Games, December 2013 (conference)

**Bounded Rational Decision-Making in Changing Environments**
pages: 1-9, NIPS Workshop Planning with Information Constraints for Control, Reinforcement Learning, Computational Neuroscience, Robotics and Games, December 2013 (conference)

**Learning an Interactive Segmentation System**
Max Planck Institute for Biological Cybernetics, December 2009 (techreport)

**Machine Learning for Brain-Computer Interfaces**
Mini-Symposia on Assistive Machine Learning for People with Disabilities at NIPS (AMD), December 2009 (talk)

**Learning Probabilistic Models via Bayesian Inverse Planning**
NIPS Workshop on Probabilistic Approaches for Robotics and Control, December 2009 (poster)

**Efficient Subwindow Search: A Branch and Bound Framework for Object Localization**
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, 31(12):2129-2142, December 2009 (article)

**Bayesian Quadratic Reinforcement Learning**
NIPS Workshop on Probabilistic Approaches for Robotics and Control, December 2009 (poster)

**A computational model of human table tennis for robot application**
In *AMS 2009*, pages: 57-64, (Editors: Dillmann, R. , J. Beyerer, C. Stiller, M. Zöllner, T. Gindele), Springer, Berlin, Germany, Autonome Mobile Systeme, December 2009 (inproceedings)

**PAC-Bayesian Approach to Formulation of Clustering Objectives**
NIPS Workshop on "Clustering: Science or Art? Towards Principled Approaches", December 2009 (talk)

**A second order sliding mode controller with polygonal constraints**
In pages: 6715-6719, IEEE, Piscataway, NJ, USA, 48th IEEE Conference on Decision and Control (CDC), December 2009 (inproceedings)

**Generation of three-dimensional random rotations in fitting and matching problems**
*Computational Statistics*, 24(4):719-731, December 2009 (article)

**Semi-supervised Kernel Canonical Correlation Analysis of Human Functional Magnetic Resonance Imaging Data**
Women in Machine Learning Workshop (WiML), December 2009 (talk)

**Adaptive Importance Sampling for Value Function Approximation in Off-policy Reinforcement Learning**
*Neural Networks*, 22(10):1399-1410, December 2009 (article)

**A PAC-Bayesian Approach to Formulation of Clustering Objectives**
In *Proceedings of the NIPS 2009 Workshop "Clustering: Science or Art? Towards Principled Approaches"*, pages: 1-4, NIPS Workshop "Clustering: Science or Art? Towards Principled Approaches", December 2009 (inproceedings)

**Policy Transfer in Apprenticeship Learning**
NIPS Workshop on Transfer Learning for Structured Data (TLSD-09), December 2009 (poster)

**Notes on Graph Cuts with Submodular Edge Weights**
In pages: 1-6, NIPS Workshop on Discrete Optimization in Machine Learning: Submodularity, Sparsity & Polyhedra (DISCML), December 2009 (inproceedings)

**Guest editorial: special issue on structured prediction**
*Machine Learning*, 77(2-3):161-164, December 2009 (article)

**Structured prediction by joint kernel support estimation**
*Machine Learning*, 77(2-3):249-269, December 2009 (article)

**Learning new basic Movements for Robotics**
In *AMS 2009*, pages: 105-112, (Editors: Dillmann, R. , J. Beyerer, C. Stiller, M. Zöllner, T. Gindele), Springer, Berlin, Germany, Autonome Mobile Systeme, December 2009 (inproceedings)

**From Motor Learning to Interaction Learning in Robots**
In *Proceedings of 7ème Journées Nationales de la Recherche en Robotique*, pages: 189-195, JNRR, November 2009 (inproceedings)