van Hoof, H., Tanneberg, D., Peters, J.
Generalized exploration in policy search
Machine Learning, 106(9-10):1705-1724 , (Editors: Kurt Driessens, Dragi Kocev, Marko Robnik‐Sikonja, and Myra Spiliopoulou), October 2017, Special Issue of the ECML PKDD 2017 Journal Track (article)
Paraschos, A., Lioutikov, R., Peters, J., Neumann, G.
Probabilistic Prioritization of Movement Primitives
Proceedings of the International Conference on Intelligent Robot Systems, and IEEE Robotics and Automation Letters (RA-L), 2(4):2294-2301, October 2017 (article)
Bauer*, M., Knebel*, J., Lechner, M., Pickl, P., Frey, E.
Ecological feedback in quorum-sensing microbial populations can induce heterogeneous production of autoinducers
{eLife}, July 2017, *equal contribution (article)
Lioutikov, R., Neumann, G., Maeda, G., Peters, J.
Learning Movement Primitive Libraries through Probabilistic Segmentation
International Journal of Robotics Research, 36(8):879-894, July 2017 (article)
Osa, T., Ghalamzan E., A. M., Stolkin, R., Lioutikov, R., Peters, J., Neumann, G.
Guiding Trajectory Optimization by Demonstrated Distributions
IEEE Robotics and Automation Letters, 2(2):819-826, April 2017 (article)
Padois, V., Ivaldi, S., Babic, J., Mistry, M., Peters, J., Nori, F.
Whole-body multi-contact motion in humans and humanoids: Advances of the CoDyCo European project
Robotics and Autonomous Systems, 90, pages: 97-117, April 2017, Special Issue on New Research Frontiers for Intelligent Autonomous Systems (article)
Maeda, G., Neumann, G., Ewerton, M., Lioutikov, R., Kroemer, O., Peters, J.
Probabilistic Movement Primitives for Coordination of Multiple Human-Robot Collaborative Tasks
Autonomous Robots, 41(3):593-612, March 2017 (article)
Yi, Z., Zhang, Y., Peters, J.
Bioinspired tactile sensor for surface roughness discrimination
Sensors and Actuators A: Physical, 255, pages: 46-53, March 2017 (article)
Kupcsik, A., Deisenroth, M., Peters, J., Ai Poh, L., Vadakkepat, V., Neumann, G.
Model-based Contextual Policy Search for Data-Efficient Generalization of Robot Skills
Artificial Intelligence, 247, pages: 415-439, 2017, Special Issue on AI and Robotics (article)
Wang, Z., Boularias, A., Mülling, K., Schölkopf, B., Peters, J.
Anticipatory Action Selection for Human-Robot Table Tennis
Artificial Intelligence, 247, pages: 399-414, 2017, Special Issue on AI and Robotics (article)
Grimm, D., Roqueiro, D., Salome, P., Kleeberger, S., Greshake, B., Zhu, W., Liu, C., Lippert, C., Stegle, O., Schölkopf, B., Weigel, D., Borgwardt, K.
easyGWAS: A Cloud-based Platform for Comparing the Results of Genome-wide Association Studies
The Plant Cell, 29(1):5-19, 2017 (article)
Katiyar, P., Divine, M. R., Kohlhofer, U., Quintanilla-Martinez, L., Schölkopf, B., Pichler, B. J., Disselhorst, J. A.
A Novel Unsupervised Segmentation Approach Quantifies Tumor Tissue Populations Using Multiparametric MRI: First Results with Histological Validation
Molecular Imaging and Biology, 19(3):391-397, 2017 (article)
Tolstikhin, I., Sriperumbudur, B., Muandet, K.
Minimax Estimation of Kernel Mean Embeddings
Journal of Machine Learning Research, 18(86):1-47, 2017 (article)
Muandet, K., Fukumizu, K., Sriperumbudur, B., Schölkopf, B.
Kernel Mean Embedding of Distributions: A Review and Beyond
Foundations and Trends in Machine Learning, 10(1-2):1-141, 2017 (article)
Dermy, O., Paraschos, A., Ewerton, M., Charpillet, F., Peters, J., Ivaldi, S.
Prediction of intention during interaction with iCub with Probabilistic Movement Primitives
Frontiers in Robotics and AI, 4, pages: 45, 2017 (article)
Parisi, S., Pirotta, M., Peters, J.
Manifold-based multi-objective policy search with sample reuse
Neurocomputing, 263, pages: 3-14, (Editors: Madalina Drugan, Marco Wiering, Peter Vamplew, and Madhu Chetty), 2017, Special Issue on Multi-Objective Reinforcement Learning (article)
Katiyar, P., Divine, M. R., Kohlhofer, U., Quintanilla-Martinez, L., Schölkopf, B., Pichler, B. J., Disselhorst, J. A.
Spectral Clustering predicts tumor tissue heterogeneity using dynamic 18F-FDG PET: a complement to the standard compartmental modeling approach
Journal of Nuclear Medicine, 58(4):651-657, 2017 (article)
Ozdenizci, O., Yalcin, M., Erdogan, A., Patoglu, V., Grosse-Wentrup, M., Cetin, M.
Electroencephalographic identifiers of motor adaptation learning
Journal of Neural Engineering, 14(4):046027, 2017 (article)
Wallis, T. S. A., Tobias, S., Bethge, M., Wichmann, F. A.
Detecting distortions of peripherally presented letter stimuli under crowded conditions
Attention, Perception, & Psychophysics, 79(3):850-862, 2017 (article)
Janzing, D., Schölkopf, B.
Detecting Confounding in Multivariate Linear Models via Spectral Analysis
Journal of Causal Inference, 6(1), 2017 (article)
Rothkegel, L. O. M., Trukenbrod, H. A., Schütt, H. H., Wichmann, F. A., Engbert, R.
Temporal evolution of the central fixation bias in scene viewing
Journal of Vision, 17(13):3, 2017 (article)
Khatami, M., Schmidt-Wilcke, T., Sundgren, P. C., Abbasloo, A., Schölkopf, B., Schultz, T.
BundleMAP: Anatomically Localized Classification, Regression, and Hypothesis Testing in Diffusion MRI
Pattern Recognition, 63, pages: 593-600, 2017 (article)
Aguilar, G., Wichmann, F. A., Maertens, M.
Comparing sensitivity estimates from MLDS and forced-choice methods in a slant-from-texture experiment
Journal of Vision, 17(1), 2017 (article)
Wallis, T. S. A., Funke, C. M., Ecker, A. S., Gatys, L. A., Wichmann, F. A., Bethge, M.
A parametric texture model based on deep convolutional features closely matches texture appearance for humans
Journal of Vision, 17(12), 2017 (article)
Huang, T., Peng, H., Zhang, K.
Model Selection for Gaussian Mixture Models
Statistica Sinica, 27(1):147-169, 2017 (article)
Schütt, H. H., Wichmann, F. A.
An image-computable psychophysical spatial vision model
Journal of Vision, 17(12), 2017 (article)
Wichmann, F. A., Janssen, D. H. J., Geirhos, R., Aguilar, G., Schütt, H. H., Maertens, M., Bethge, M.
Methods and measurements to compare men against machines
Electronic Imaging, pages: 36-45(10), 2017 (article)
Kroemer, O., Peters, J.
A Comparison of Autoregressive Hidden Markov Models for Multimodal Manipulations With Variable Masses
IEEE Robotics and Automation Letters, 2(2):1101-1108, 2017 (article)
Maeda, G., Ewerton, M., Neumann, G., Lioutikov, R., Peters, J.
Phase Estimation for Fast Action Recognition and Trajectory Generation in Human-Robot Collaboration
International Journal of Robotics Research, 36(13-14):1579-1594, 2017, Special Issue on the Seventeenth International Symposium on Robotics Research (article)
Chen, J., Hirsch, M., Heintzmann, R., Eberhardt, B., Lensch, H. P. A.
A Phase-coded Aperture Camera with Programmable Optics
Electronic Imaging, 2017(17):70-75, 2017 (article)
Jayaram, V., Hohmann, M., Just, J., Schölkopf, B., Grosse-Wentrup, M.
Task-induced frequency modulation features for brain-computer interfacing
Journal of Neural Engineering, 14(5):056015, 2017 (article)
Fomina, T., Weichwald, S., Synofzik, M., Just, J., Schöls, L., Schölkopf, B., Grosse-Wentrup, M.
Absence of EEG correlates of self-referential processing depth in ALS
PLOS ONE, 12(6):e0180136, 2017 (article)
Gresele, L., Marsili, M.
On Maximum Entropy and Inference
Entropy, 19(12):article no. 642, 2017 (article)
Ivaldi, S., Lefort, S., Peters, J., Chetouani, M., Provasi, J., Zibetti, E.
Towards Engagement Models that Consider Individual Factors in HRI: On the Relation of Extroversion and Negative Attitude Towards Robots to Gaze and Speech During a Human-Robot Assembly Task
International Journal of Social Robotics, 9(1):63-86, 2017 (article)
van Hoof, H., Neumann, G., Peters, J.
Non-parametric Policy Search with Limited Information Loss
Journal of Machine Learning Research , 18(73):1-46, 2017 (article)
Vinogradska, J., Bischoff, B., Nguyen-Tuong, D., Peters, J.
Stability of Controllers for Gaussian Process Dynamics
Journal of Machine Learning Research, 18(100):1-37, 2017 (article)
Seith, F., Schmidt, H., Gatidis, S., Bezrukov, I., Schraml, C., Pfannenberg, C., la Fougère, C., Nikolaou, K., Schwenzer, N.
SUV-quantification of physiological lung tissue in an integrated PET/MR-system: Impact of lung density and bone tissue
PLOS ONE, 12(5):1-13, 2017 (article)
Sippel, S., Zscheischler, J., Heimann, M., Otto, F. E. L., Peters, J., Mahecha, M. D.
Quantifying changes in climate variability and extremes: Pitfalls and their overcoming
Geophysical Research Letters, 42(22):9990-9998, November 2015 (article)
Ramirez-Villegas, J. F., Logothetis, N. K., Besserve, M.
Diversity of sharp wave-ripple LFP signatures reveals differentiated brain-wide dynamical events
Proceedings of the National Academy of Sciences U.S.A, 112(46):E6379-E6387, November 2015 (article)
Betz, T., Shapley, R. M., Wichmann, F. A., Maertens, M.
Noise masking of White’s illusion exposes the weakness of current spatial filtering models of lightness perception
Journal of Vision, 15(14):1-17, October 2015 (article)
Besserve, M.
Causal Inference for Empirical Time Series Based on the Postulate of Independence of Cause and Mechanism
53rd Annual Allerton Conference on Communication, Control, and Computing, September 2015 (talk)
Besserve, M., Lowe, S. C., Logothetis, N. K., Schölkopf, B., Panzeri, S.
Shifts of Gamma Phase across Primary Visual Cortical Sites Reflect Dynamic Stimulus-Modulated Information Transfer
PLOS Biology, 13(9):e1002257, September 2015 (article)
Janzing, D., Schölkopf, B.
Semi-Supervised Interpolation in an Anticausal Learning Scenario
Journal of Machine Learning Research, 16, pages: 1923-1948, September 2015 (article)
Betz, T., Shapley, R. M., Wichmann, F. A., Maertens, M.
Testing the role of luminance edges in White’s illusion with contour adaptation
Journal of Vision, 15(11):1-16, August 2015 (article)
Besserve, M.
Independence of cause and mechanism in brain networks
DALI workshop on Networks: Processes and Causality, April 2015 (talk)
Loktyushin, A., Nickisch, H., Pohmann, R., Schölkopf, B.
Blind multirigid retrospective motion correction of MR images
Magnetic Resonance in Medicine, 73(4):1457-1468, April 2015 (article)
Ried, K., Agnew, M., Vermeyden, L., Janzing, D., Spekkens, R. W., Resch, K. J.
A quantum advantage for inferring causal structure
Nature Physics, 11(5):414-420, March 2015 (article)
Sra, S.
Positive definite matrices and the S-divergence
Proceedings of the American Mathematical Society, 2015, Published electronically: October 22, 2015 (article)
Peters, J., Bühlmann, P.
Structural Intervention Distance (SID) for Evaluating Causal Graphs
Neural Computation , 27(3):771-799, 2015 (article)
Zhang, J., Zhang, K.
Likelihood and Consilience: On Forster’s Counterexamples to the Likelihood Theory of Evidence
Philosophy of Science, Supplementary Volume 2015, 82(5):930-940, 2015 (article)