258 results
(View BibTeX file of all listed publications)

**Grip Stabilization of Novel Objects using Slip Prediction**
*IEEE Transactions on Haptics*, 2018 (article) In press

**Domain Adaptation Under Causal Assumptions**
Eberhard Karls Universität Tübingen, Germany, 2018 (mastersthesis)

**A Differentially Private Kernel Two-Sample Test**
2018, *equal contribution (conference) Submitted

**Electrophysiological correlates of neurodegeneration in motor and non-motor brain regions in amyotrophic lateral sclerosis—implications for brain–computer interfacing**
*Journal of Neural Engineering*, 15(4):041003, IOP Publishing, 2018 (article)

Suter, R.
**A Causal Perspective on Deep Representation Learning**
ETH Zurich, 2018 (mastersthesis)

**Counterfactuals uncover the modular structure of deep generative models**
2018 (conference) Submitted

**Quantum machine learning: a classical perspective**
*Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences*, 474(2209):20170551, 2018 (article)

**Kernel-based tests for joint independence**
*Journal of the Royal Statistical Society: Series B (Statistical Methodology)*, 80(1):5-31, 2018 (article)

**Prediction of Glucose Tolerance without an Oral Glucose Tolerance Test**
*Frontiers in Endocrinology*, 9, pages: 82, 2018 (article)

**Invariant Models for Causal Transfer Learning**
*Journal of Machine Learning Research*, 19(36):1-34, 2018 (article)

**MOABB: Trustworthy algorithm benchmarking for BCIs**
*Journal of Neural Engineering*, 15(6):066011, 2018 (article)

**f-Divergence constrained policy improvement**
*Journal of Machine Learning Research*, 2018 (article) Submitted

**Phylogenetic convolutional neural networks in metagenomics**
*BMC Bioinformatics*, 19(2):49 pages, 2018, *equal contribution (article)

**Food specific inhibitory control under negative mood in binge-eating disorder: Evidence from a multimethod approach**
*International Journal of Eating Disorders*, 51(2):112-123, Wiley Online Library, 2018 (article)

**Probabilistic Approaches to Stochastic Optimization**
Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)

**Improving Tissue Differentiation based on Optical Emission Spectroscopy for Guided Electrosurgical Tumor Resection with Machine Learning**
Eberhard Karls Universität Tübingen, Germany, 2018 (mastersthesis)

**Reinforcement Learning for High-Speed Robotics with Muscular Actuation**
Ruprecht-Karls-Universität Heidelberg , 2018 (mastersthesis)

**Linking imaging to omics utilizing image-guided tissue extraction**
*Proceedings of the National Academy of Sciences*, 115(13):E2980-E2987, 2018 (article)

**Methods in Psychophysics**
In *Stevens’ Handbook of Experimental Psychology and Cognitive Neuroscience*, 5 (Methodology), 7, 4th, John Wiley & Sons, Inc., 2018 (inbook)

**Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions**
*Journal of Machine Learning Research*, 19(44):1-29, 2018 (article)

**Discriminative Transfer Learning for General Image Restoration**
*IEEE Transactions on Image Processing*, 27(8):4091-4104, 2018 (article)

**Photorealistic Video Super Resolution**
*Workshop and Challenge on Perceptual Image Restoration and Manipulation (PIRM) at the 15th European Conference on Computer Vision (ECCV)*, 2018 (poster)

**Denotational Validation of Higher-order Bayesian Inference**
*Proceedings of the ACM on Principles of Programming Languages (POPL)*, 2(Article No. 60):1-29, ACM, 2018 (conference)

**Dissecting the synapse- and frequency-dependent network mechanisms of in vivo hippocampal sharp wave-ripples**
*Neuron*, 100(5):1224-1240, 2018 (article)

**Retinal image quality of the human eye across the visual field**
14th Biannual Conference of the German Society for Cognitive Science (KOGWIS 2018), 2018 (poster)

**In-Hand Object Stabilization by Independent Finger Control**
*IEEE Transactions on Robotics*, 2018 (article) Submitted

**Visualizing and understanding Sum-Product Networks**
*Machine Learning*, 2018 (article)

**Transfer Learning for BCIs**
In *Brain–Computer Interfaces Handbook*, pages: 425-442, 22, (Editors: Chang S. Nam, Anton Nijholt and Fabien Lotte), CRC Press, 2018 (incollection)

**Large sample analysis of the median heuristic**
2018 (misc) In preparation

**Probabilistic Ordinary Differential Equation Solvers — Theory and Applications**
Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)

** A machine learning approach to taking EEG-based computer interfaces out of the lab**
Graduate Training Centre of Neuroscience, IMPRS, Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)

**Non-Equilibrium Relations for Bounded Rational Decision-Making in Changing Environments**
*Entropy*, 20(1:1):1-28, January 2018 (article)

**Conformal Multi-Instance Kernels**
In *NIPS 2006 Workshop on Learning to Compare Examples*, pages: 1-6, NIPS Workshop on Learning to Compare Examples, December 2006 (inproceedings)

**Some observations on the pedestal effect or dipper function**
*Journal of Vision*, 6(13):50, 2006 Fall Vision Meeting of the Optical Society of America, December 2006 (poster)

**A Kernel Method for the Two-Sample-Problem**
20th Annual Conference on Neural Information Processing Systems (NIPS), December 2006 (talk)

**Ab-initio gene finding using machine learning**
NIPS Workshop on New Problems and Methods in Computational Biology, December 2006 (talk)

**Graph boosting for molecular QSAR analysis**
NIPS Workshop on New Problems and Methods in Computational Biology, December 2006 (talk)

**Inferring Causal Directions by Evaluating the Complexity of Conditional Distributions**
NIPS Workshop on Causality and Feature Selection, December 2006 (talk)

**Structure validation of the Josephin domain of ataxin-3: Conclusive evidence for an open conformation**
*Journal of Biomolecular NMR*, 36(4):267-277, December 2006 (article)

**A Unifying View of Wiener and Volterra Theory and Polynomial Kernel Regression**
*Neural Computation*, 18(12):3097-3118, December 2006 (article)

**Minimal Logical Constraint Covering Sets**
(155), Max Planck Institute for Biological Cybernetics, Tübingen, December 2006 (techreport)

**Learning Optimal EEG Features Across Time, Frequency and Space**
NIPS Workshop on Current Trends in Brain-Computer Interfacing, December 2006 (talk)

**Semi-Supervised Learning**
Advanced Methods in Sequence Analysis Lectures, November 2006 (talk)

**Spatial four-alternative forced-choice method is the preferred psychophysical method for naive
observers**
*Journal of Vision*, 6(11):1307-1322, November 2006 (article)

**Prediction of Protein Function from Networks**
In *Semi-Supervised Learning*, pages: 361-376, Adaptive Computation and Machine Learning, (Editors: Chapelle, O. , B. Schölkopf, A. Zien), MIT Press, Cambridge, MA, USA, November 2006 (inbook)

**Adapting Spatial Filter Methods for Nonstationary BCIs**
In *IBIS 2006*, pages: 65-70, 2006 Workshop on Information-Based Induction Sciences, November 2006 (inproceedings)

**Discrete Regularization**
In *Semi-supervised Learning*, pages: 237-250, Adaptive computation and machine learning, (Editors: O Chapelle and B Schölkopf and A Zien), MIT Press, Cambridge, MA, USA, November 2006 (inbook)

**New Methods for the P300 Visual Speller**
(1), (Editors: Hill, J. ), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2006 (techreport)

**Statistical Analysis of Slow Crack Growth
Experiments**
*Journal of the European Ceramic Society*, 26(15):3061-3065, November 2006 (article)

**Optimizing Spatial Filters for BCI: Margin- and Evidence-Maximization Approaches**
*Challenging Brain-Computer Interfaces: MAIA Workshop 2006*, pages: 1, November 2006 (poster)