34 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

**Convolutional neural networks: A magic bullet for gravitational-wave detection?**
*Physical Review D*, 100(6):063015, American Physical Society, September 2019 (article)

**Data scarcity, robustness and extreme multi-label classification**
*Machine Learning*, 108(8):1329-1351, September 2019, Special Issue of the ECML PKDD 2019 Journal Track (article)

**A 32-channel multi-coil setup optimized for human brain shimming at 9.4T**
*Magnetic Resonance in Medicine*, 2019, (Early View) (article)

**Multidimensional Contrast Limited Adaptive Histogram Equalization**
*IEEE Access*, 7, pages: 165437-165447, 2019 (article)

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

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

**Perception of temporal dependencies in autoregressive motion**
European Conference on Visual Perception (ECVP), 2019 (poster)

**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)

**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)

**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)

**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)

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

**Concentration Inequalities for Sub-Additive Functions Using the Entropy Method**
*Stochastic Inequalities and Applications*, 56, pages: 213-247, Progress in Probability, (Editors: Giné, E., C. Houdré and D. Nualart), November 2003 (article)

**Statistical Learning Theory, Capacity and Complexity**
*Complexity*, 8(4):87-94, July 2003 (article)

**Dealing with large Diagonals in Kernel Matrices**
*Annals of the Institute of Statistical Mathematics*, 55(2):391-408, June 2003 (article)

**The em Algorithm for Kernel Matrix Completion with Auxiliary Data**
*Journal of Machine Learning Research*, 4, pages: 67-81, May 2003 (article)

**Constructing Descriptive and Discriminative Non-linear Features: Rayleigh Coefficients in Kernel Feature Spaces**
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, 25(5):623-628, May 2003 (article)

**Tractable Inference for Probabilistic Data Models**
*Complexity*, 8(4):64-68, April 2003 (article)

**Feature selection and transduction for prediction of molecular bioactivity for drug design**
*Bioinformatics*, 19(6):764-771, April 2003 (article)

**Use of the Zero-Norm with Linear Models and Kernel Methods**
*Journal of Machine Learning Research*, 3, pages: 1439-1461, March 2003 (article)

**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)

**An Introduction to Variable and Feature Selection.**
*Journal of Machine Learning*, 3, pages: 1157-1182, 2003 (article)

**New Approaches to Statistical Learning Theory**
*Annals of the Institute of Statistical Mathematics*, 55(2):371-389, 2003 (article)

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