ei 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)

DOI Project Page [BibTex]

ei 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)

link (url) DOI [BibTex]

ei 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)

DOI [BibTex]

ei 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)

DOI Project Page [BibTex]

ei 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)

DOI [BibTex]

ei 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)

DOI Project Page [BibTex]

ei 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)

DOI Project Page [BibTex]

ei 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)

DOI Project Page [BibTex]

ei 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)

link (url) DOI Project Page [BibTex]

am ei 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)

DOI Project Page [BibTex]

ei 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)

link (url) DOI [BibTex]

ei 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)

DOI [BibTex]

ei Tolstikhin, I., Sriperumbudur, B., Muandet, K. Minimax Estimation of Kernel Mean Embeddings Journal of Machine Learning Research, 18(86):1-47, 2017 (article)

link (url) Project Page [BibTex]

ei 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)

DOI Project Page [BibTex]

ei 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)

DOI Project Page [BibTex]

ei 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)

DOI Project Page [BibTex]

ei 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)

link (url) DOI [BibTex]

ei 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)

link (url) [BibTex]

ei 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)

DOI Project Page [BibTex]

ei Janzing, D., Schölkopf, B. Detecting Confounding in Multivariate Linear Models via Spectral Analysis Journal of Causal Inference, 6(1), 2017 (article)

DOI [BibTex]

ei 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)

DOI Project Page [BibTex]

ei 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)

DOI [BibTex]

ei 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)

DOI Project Page [BibTex]

ei 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)

DOI Project Page [BibTex]

ei Huang, T., Peng, H., Zhang, K. Model Selection for Gaussian Mixture Models Statistica Sinica, 27(1):147-169, 2017 (article)

link (url) [BibTex]

ei Schütt, H. H., Wichmann, F. A. An image-computable psychophysical spatial vision model Journal of Vision, 17(12), 2017 (article)

DOI Project Page [BibTex]

ei 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)

DOI [BibTex]

ei 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)

DOI [BibTex]

ei 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)

DOI Project Page [BibTex]

ei 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)

DOI [BibTex]

ei 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)

link (url) Project Page [BibTex]

ei 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)

PDF DOI Project Page [BibTex]

ei Gresele, L., Marsili, M. On Maximum Entropy and Inference Entropy, 19(12):article no. 642, 2017 (article)

link (url) [BibTex]

ei 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)

DOI [BibTex]

ei 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)

link (url) Project Page [BibTex]

ei 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)

link (url) Project Page [BibTex]

ei 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)

DOI [BibTex]

ei Abdolmaleki, A., Lau, N., Reis, L., Peters, J., Neumann, G. 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)

DOI [BibTex]

ei Maeda, G., Ewerton, M., Koert, D., Peters, J. Acquiring and Generalizing the Embodiment Mapping from Human Observations to Robot Skills IEEE Robotics and Automation Letters, 1(2):784-791, July 2016 (article)

DOI [BibTex]

ei Ihler, A. T., Janzing, D. Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence (UAI) pages: 869, AUAI Press, June 2016 (proceedings)

link (url) [BibTex]

ei Zhang, K., Wang, Z., Zhang, J., Schölkopf, B. 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)

PDF DOI [BibTex]

ei pn Klenske, E. D., Zeilinger, M., Schölkopf, B., Hennig, P. Gaussian Process-Based Predictive Control for Periodic Error Correction IEEE Transactions on Control Systems Technology , 24(1):110-121, 2016 (article)

PDF DOI [BibTex]

ei Townsend, J., Koep, N., Weichwald, S. Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation Journal of Machine Learning Research, 17(137):1-5, 2016 (article)

PDF Arxiv Code Project page link (url) [BibTex]

ei Wang, D., Hogg, D. W., Foreman-Mackey, D., Schölkopf, B. A Causal, Data-driven Approach to Modeling the Kepler Data Publications of the Astronomical Society of the Pacific, 128(967):094503, 2016 (article)

link (url) DOI Project Page [BibTex]

am ei Daniel, C., van Hoof, H., Peters, J., Neumann, G. 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)

DOI Project Page [BibTex]

ei Rothkegel, L. O. M., Trukenbrod, H. A., Schütt, H. H., Wichmann, F. A., Engbert, R. Influence of initial fixation position in scene viewing Vision Research, 129, pages: 33-49, 2016 (article)

link (url) DOI Project Page [BibTex]

ei Wallis, T. S. A., Bethge, M., Wichmann, F. A. Testing models of peripheral encoding using metamerism in an oddity paradigm Journal of Vision, 16(2), 2016 (article)

DOI Project Page [BibTex]

ei Schölkopf, B., Hogg, D., Wang, D., Foreman-Mackey, D., Janzing, D., Simon-Gabriel, C. J., Peters, J. Modeling Confounding by Half-Sibling Regression Proceedings of the National Academy of Science, 113(27):7391-7398, 2016 (article)

Code link (url) DOI Project Page [BibTex]

ei pn Klenske, E. D., Hennig, P. Dual Control for Approximate Bayesian Reinforcement Learning Journal of Machine Learning Research, 17(127):1-30, 2016 (article)

PDF link (url) [BibTex]

ei Divine, M. R., Katiyar, P., Kohlhofer, U., Quintanilla-Martinez, L., Disselhorst, J. A., Pichler, B. J. 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)

DOI [BibTex]