152 results
(View BibTeX file of all listed publications)

**Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller**
*Journal of Intelligent & Robotic Systems*, 83(3-4):393-408, (Editors: Luis Almeida, Lino Marques ), September 2016, Special Issue: Autonomous Robot Systems (article)

**Acquiring and Generalizing the Embodiment Mapping from Human Observations to Robot Skills**
*IEEE Robotics and Automation Letters*, 1(2):784-791, July 2016 (article)

**On estimation of functional causal models: General results and application to post-nonlinear causal model**
*ACM Transactions on Intelligent Systems and Technologies*, 7(2):article no. 13, January 2016 (article)

**Gaussian Process-Based Predictive Control for Periodic Error Correction **
*IEEE Transactions on Control Systems Technology *, 24(1):110-121, 2016 (article)

**Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation**
*Journal of Machine Learning Research*, 17(137):1-5, 2016 (article)

**A Causal, Data-driven Approach to Modeling the Kepler Data**
*Publications of the Astronomical Society of the Pacific*, 128(967):094503, 2016 (article)

**Probabilistic Inference for Determining Options in Reinforcement Learning**
*Machine Learning, Special Issue*, 104(2):337-357, (Editors: Gärtner, T., Nanni, M., Passerini, A. and Robardet, C.), European Conference on Machine Learning im Machine Learning, Journal Track, 2016, Best Student Paper Award of ECML-PKDD 2016 (article)

**Influence of initial fixation position in scene viewing**
*Vision Research*, 129, pages: 33-49, 2016 (article)

**Testing models of peripheral encoding using metamerism in an oddity paradigm**
*Journal of Vision*, 16(2), 2016 (article)

**Modeling Confounding by Half-Sibling Regression**
*Proceedings of the National Academy of Science*, 113(27):7391-7398, 2016 (article)

**Dual Control for Approximate Bayesian Reinforcement Learning**
*Journal of Machine Learning Research*, 17(127):1-30, 2016 (article)

**A Population Based Gaussian Mixture Model Incorporating 18F-FDG-PET and DW-MRI Quantifies Tumor Tissue Classes**
*Journal of Nuclear Medicine*, 57(3):473-479, 2016 (article)

**Comparison of Positron Emission Tomography Quantification Using Magnetic Resonance–and Computed Tomography–Based Attenuation Correction in Physiological Tissues and Lesions: A Whole-Body Positron Emission Tomography/Magnetic Resonance Study in 66 Patients**
*Investigative Radiology*, 51(1):66-71, 2016 (article)

**Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm**
*Journal of Machine Learning Research*, 17(90):1-29, 2016 (article)

**Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data**
*Vision Research*, 122, pages: 105-123, 2016 (article)

**Identification of causal relations in neuroimaging data with latent confounders: An instrumental variable approach**
*NeuroImage*, 125, pages: 825-833, 2016 (article)

**Hierarchical Relative Entropy Policy Search**
*Journal of Machine Learning Research*, 17(93):1-50, 2016 (article)

**Kernel Mean Shrinkage Estimators**
*Journal of Machine Learning Research*, 17(48):1-41, 2016 (article)

**Learning to Deblur**
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, 38(7):1439-1451, IEEE, 2016 (article)

**Transfer Learning in Brain-Computer Interfaces**
*IEEE Computational Intelligence Magazine*, 11(1):20-31, 2016 (article)

**MERLiN: Mixture Effect Recovery in Linear Networks**
*IEEE Journal of Selected Topics in Signal Processing*, 10(7):1254-1266, 2016 (article)

**Causal inference using invariant prediction: identification and confidence intervals**
*Journal of the Royal Statistical Society, Series B (Statistical Methodology)*, 78(5):947-1012, 2016, (with discussion) (article)

**Causal discovery and inference: concepts and recent methodological advances**
*Applied Informatics*, 3(3):1-28, 2016 (article)

**Self-regulation of brain rhythms in the precuneus: a novel BCI paradigm for patients with ALS**
*Journal of Neural Engineering*, 13(6):066021, 2016 (article)

**Influence Estimation and Maximization in Continuous-Time Diffusion Networks**
*ACM Transactions on Information Systems*, 34(2):9:1-9:33, 2016 (article)

**The population of long-period transiting exoplanets**
*The Astronomical Journal*, 152(6):206, 2016 (article)

**Screening Rules for Convex Problems**
2016 (unpublished) Submitted

**An overview of quantitative approaches in Gestalt perception**
*Vision Research*, 126, pages: 3-8, 2016 (article)

**Bootstrat: Population Informed Bootstrapping for Rare Variant Tests**
*bioRxiv*, 2016, preprint (article)

**Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control**
*Nature PG: Scientific Reports*, 6(Article number: 28455), 2016 (article)

**Distinguishing cause from effect using observational data: methods and benchmarks**
*Journal of Machine Learning Research*, 17(32):1-102, 2016 (article)

**Learning Taxonomy Adaptation in Large-scale Classification**
*Journal of Machine Learning Research*, 17(98):1-37, 2016 (article)

**Algorithmic independence of initial condition and dynamical law in thermodynamics and causal inference**
*New Journal of Phyiscs*, 18(9):093052, 2016 (article)

**BOiS—Berlin Object in Scene Database: Controlled Photographic Images for Visual Search Experiments with Quantified Contextual Priors**
*Frontiers in Psychology*, 2016 (article)

**Preface to the ACM TIST Special Issue on Causal Discovery and Inference**
*ACM Transactions on Intelligent Systems and Technologies*, 7(2):article no. 17, 2016 (article)

**Recurrent Spiking Networks Solve Planning Tasks**
*Nature PG: Scientific Reports*, 6(Article number: 21142), 2016 (article)

**Bio-inspired feedback-circuit implementation of discrete, free energy optimizing, winner-take-all computations**
*Biological Cybernetics*, 110(2):135–150, June 2016 (article)

**Decision-Making under Ambiguity Is Modulated by Visual Framing, but Not by Motor vs. Non-Motor Context: Experiments and an Information-Theoretic Ambiguity Model**
*PLoS ONE*, 11(4):1-21, April 2016 (article)

**Studying large-scale brain networks: electrical stimulation and neural-event-triggered fMRI**
Twenty-Second Annual Computational Neuroscience Meeting (CNS*2013), July 2013, journal = {BMC Neuroscience},
year = {2013},
month = {7},
volume = {14},
number = {Supplement 1},
pages = {A1}, (talk)

**Correlation of Simultaneously Acquired Diffusion-Weighted Imaging and 2-Deoxy-[18F] fluoro-2-D-glucose Positron Emission Tomography of Pulmonary Lesions in a Dedicated Whole-Body Magnetic Resonance/Positron Emission Tomography System**
*Investigative Radiology*, 48(5):247-255, May 2013 (article)

**Replacing Causal Faithfulness with Algorithmic Independence of Conditionals**
*Minds and Machines*, 23(2):227-249, May 2013 (article)

**What can neurons do for their brain? Communicate selectivity with bursts**
*Theory in Biosciences *, 132(1):27-39, Springer, March 2013 (article)

**Apprenticeship Learning with Few Examples**
*Neurocomputing*, 104, pages: 83-96, March 2013 (article)

**Quasi-Newton Methods: A New Direction**
*Journal of Machine Learning Research*, 14(1):843-865, March 2013 (article)

**Regional effects of magnetization dispersion on quantitative perfusion imaging for pulsed and continuous arterial spin labeling**
*Magnetic Resonance in Medicine*, 69(2):524-530, Febuary 2013 (article)

**The multivariate Watson distribution: Maximum-likelihood estimation and other aspects**
*Journal of Multivariate Analysis*, 114, pages: 256-269, February 2013 (article)

**How the result of graph clustering methods depends on the construction of the graph**
*ESAIM: Probability & Statistics*, 17, pages: 370-418, January 2013 (article)

**Explicit eigenvalues of certain scaled trigonometric matrices**
*Linear Algebra and its Applications*, 438(1):173-181, January 2013 (article)

**How Sensitive Is the Human Visual System to the Local Statistics of Natural Images?**
*PLoS Computational Biology*, 9(1):e1002873, January 2013 (article)

**A neural population model for visual pattern detection**
*Psychological Review*, 120(3):472–496, 2013 (article)