275 results
(View BibTeX file of all listed publications)

**Enhancing Human Learning via Spaced Repetition Optimization**
*Proceedings of the National Academy of Sciences*, 2019, PNAS published ahead of print January 22, 2019 (article)

**Formally justified and modular Bayesian inference for probabilistic programs**
University of Cambridge, UK, 2019 (phdthesis)

**Witnessing Adversarial Training in Reproducing Kernel Hilbert Spaces**
2019 (conference) Submitted

**Spatial Filtering based on Riemannian Manifold for Brain-Computer Interfacing**
Technical University of Munich, Germany, 2019 (mastersthesis)

**Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots**
2019 (article) Submitted

**AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs**
*Proceedings of the 36th International Conference on Machine Learning (ICML)*, 97, pages: 1-10, Proceedings of Machine Learning Research, (Editors: Chaudhuri, Kamalika and Salakhutdinov, Ruslan), PMLR, 2019, *equal contribution (conference)

**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

**Inferring causation from time series with perspectives in Earth system sciences**
*Nature Communications*, 2019 (article) In revision

**Quantum mean embedding of probability distributions**
*Physical Review Research*, 1(3):033159, American Physical Society, 2019 (article)

**Quantification of tumor heterogeneity using PET/MRI and machine learning**
Eberhard Karls Universität Tübingen, Germany, 2019 (phdthesis)

**MYND: A Platform for Large-scale Neuroscientific Studies**
*Proceedings of the 2019 Conference on Human Factors in Computing Systems (CHI)*, 2019 (conference) Accepted

**A Kernel Stein Test for Comparing Latent Variable Models**
2019 (conference) Submitted

**Phenomenal Causality and Sensory Realism**
European Conference on Visual Perception (ECVP), 2019 (poster)

**Reliable Real-Time Ball Tracking for Robot Table Tennis**
*Robotics*, 8(4):90, 2019 (article)

**Advances in Probabilistic Modelling: Sparse Gaussian Processes, Autoencoders, and Few-shot Learning**
University of Cambridge, UK, 2019 (phdthesis)

**From Variational to Deterministic Autoencoders**
2019, *equal contribution (conference) Submitted

**Optimizing the Execution of Dynamic Robot Movements With Learning Control**
*IEEE Transactions on Robotics*, pages: 1-16, 2019 (article)

**Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework**
*IEEE Robotics and Automation Letters*, 4(2):1784-1791, 2019 (article)

**Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces**
*Journal of Nonlinear Science*, 2019, First Online: 21 August 2019 (article)

**Kernel Methods for Measuring Independence**
*Journal of Machine Learning Research*, 6, pages: 2075-2129, December 2005 (article)

**Kernel ICA for Large Scale Problems**
In pages: -, NIPS Workshop on Large Scale Kernel Machines, December 2005 (inproceedings)

**Some thoughts about Gaussian Processes**
NIPS Workshop on Open Problems in Gaussian Processes for Machine Learning, December 2005 (talk)

ei
Chapelle, O.
**A taxonomy of semi-supervised learning algorithms**
Yahoo!, December 2005 (talk)

**A Unifying View of Sparse Approximate Gaussian Process Regression**
*Journal of Machine Learning Research*, 6, pages: 1935-1959, December 2005 (article)

**Popper, Falsification and the VC-dimension**
(145), Max Planck Institute for Biological Cybernetics, November 2005 (techreport)

**Extension to Kernel Dependency Estimation with Applications to Robotics**
Biologische Kybernetik, Technische Universität Berlin, Berlin, November 2005 (phdthesis)

**Kernel methods for dependence testing in LFP-MUA**
35(689.17), 35th Annual Meeting of the Society for Neuroscience (Neuroscience), November 2005 (poster)

**Training Support Vector Machines with Multiple Equality Constraints **
In *Proceedings of the 16th European Conference on Machine Learning, Lecture Notes in Computer Science, Vol. 3720*, pages: 182-193, (Editors: JG Carbonell and J Siekmann), Springer, Berlin, Germany, ECML, November 2005 (inproceedings)

**Geometrical aspects of statistical learning theory**
Biologische Kybernetik, Darmstadt, Darmstadt, November 2005 (phdthesis)

**Measuring Statistical Dependence with Hilbert-Schmidt Norms**
In *Algorithmic Learning Theory, Lecture Notes in Computer Science, Vol. 3734*, pages: 63-78, (Editors: S Jain and H-U Simon and E Tomita), Springer, Berlin, Germany, 16th International Conference ALT, October 2005 (inproceedings)

**Maximal Margin Classification for Metric Spaces**
*Journal of Computer and System Sciences*, 71(3):333-359, October 2005 (article)

**An Analysis of the Anti-Learning Phenomenon for the Class Symmetric Polyhedron**
In *Algorithmic Learning Theory: 16th International Conference*, pages: 78-92, Algorithmic Learning Theory, October 2005 (inproceedings)

**Selective integration of multiple biological data for supervised
network inference**
*Bioinformatics*, 21(10):2488 , October 2005 (article)

**Assessing Approximate Inference for Binary Gaussian Process Classification**
*Journal of Machine Learning Research*, 6, pages: 1679 , October 2005 (article)

**Implicit Surfaces For Modelling
Human Heads**
Biologische Kybernetik, Eberhard-Karls-Universität, Tübingen, September 2005 (diplomathesis)

**Clustering on the Unit Hypersphere using von Mises-Fisher Distributions**
*Journal of Machine Learning Research*, 6, pages: 1345-1382, September 2005 (article)

**Support Vector Machines for 3D Shape Processing**
*Computer Graphics Forum*, 24(3, EUROGRAPHICS 2005):285-294, September 2005 (article)

**Rapid animal detection in natural scenes: Critical features are local**
*Journal of Vision*, 5(8):376, Fifth Annual Meeting of the Vision Sciences Society (VSS), September 2005 (poster)

**Fast Protein Classification with Multiple Networks**
*Bioinformatics*, 21(Suppl. 2):59-65, September 2005 (article)

**Iterative Kernel Principal Component Analysis for Image Modeling**
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, 27(9):1351-1366, September 2005 (article)

**Learning an Interest Operator from Eye Movements**
*International Workshop on Bioinspired Information Processing (BIP 2005)*, 2005, pages: 1, September 2005 (poster)

**Machine Learning Methods for Brain-Computer Interdaces**
Biologische Kybernetik, University of Darmstadt, September 2005 (phdthesis)

**Classification of natural scenes using global image statistics**
*Journal of Vision*, 5(8):602, Fifth Annual Meeting of the Vision Sciences Society (VSS), September 2005 (poster)

**A Combinatorial View of Graph Laplacians**
(144), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, August 2005 (techreport)

**Phenotypic characterization of chondrosarcoma-derived cell lines**
*Cancer Letters*, 226(2):143-154, August 2005 (article)

**Beyond Pairwise Classification and Clustering Using Hypergraphs**
(143), Max Planck Institute for Biological Cybernetics, August 2005 (techreport)

**Local Rademacher Complexities**
*The Annals of Statistics*, 33(4):1497-1537, August 2005 (article)

**Building Sparse Large Margin Classifiers**
In *Proceedings of the 22nd International Conference on Machine Learning*, pages: 996-1003, (Editors: L De Raedt and S Wrobel ), ACM, New York, NY, USA, ICML , August 2005 (inproceedings)