365 results
(View BibTeX file of all listed publications)

**On the Applicability of Machine Learning to Aid the Search for Gravitational Waves at the LIGO Experiment**
Karlsruhe Institute of Technology, Germany, 2018 (mastersthesis)

**Distribution-Dissimilarities in Machine Learning**
Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)

**Probabilistic Deep Learning using Random Sum-Product Networks**
2018 (conference) Submitted

**Autofocusing-based phase correction**
*Magnetic Resonance in Medicine*, 80(3):958-968, 2018 (article)

**Generalized phase locking analysis of electrophysiology data**
*7th AREADNE Conference on Research in Encoding and Decoding of Neural Ensembles*, 2018 (poster)

**Case series: Slowing alpha rhythm in late-stage ALS patients**
*Clinical Neurophysiology*, 129(2):406-408, 2018 (article)

**Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling**
*Journal of Machine Learning Research*, 19(69):1-45, 2018 (article)

**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)

**Riemannian Adaptive Optimization Methods**
ICLR 2019, 2018 (conference) Submitted

**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)

**Two-qubit causal structures and the geometry of positive qubit-maps**
*New Journal of Physics*, 20(8):083015, 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)

**Poincaré GloVe: Hyperbolic Word Embeddings**
ICLR 2019, 2018, *equal contribution (conference) Submitted

**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)

**Global Biclustering of Microarray Data**
In *ICDMW 2006*, pages: 125-129, (Editors: Tsumoto, S. , C. W. Clifton, N. Zhong, X. Wu, J. Liu, B. W. Wah, Y.-M. Cheung), IEEE Computer Society, Los Alamitos, CA, USA, Sixth IEEE International Conference on Data Mining, December 2006 (inproceedings)

**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)

**Reinforcement Learning by Reward-Weighted Regression**
NIPS Workshop: Towards a New Reinforcement Learning? , December 2006 (talk)

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

**A New Projected Quasi-Newton Approach for the Nonnegative Least Squares Problem**
(TR-06-54), Univ. of Texas, Austin, December 2006 (techreport)