Gebhard, T., Kilbertus, N., Harry, I., Schölkopf, B. Convolutional neural networks: A magic bullet for gravitational-wave detection? Physical Review D, 100(6):063015, American Physical Society, September 2019 (article)

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Babbar, R., Schölkopf, B. Data scarcity, robustness and extreme multi-label classification Machine Learning, 108(8):1329-1351, September 2019, Special Issue of the ECML PKDD 2019 Journal Track (article)

DOI [BibTex]

Aghaeifar, A., Zhou, J., Heule, R., Tabibian, B., Schölkopf, B., Jia, F., Zaitsev, M., Scheffler, K. A 32-channel multi-coil setup optimized for human brain shimming at 9.4T Magnetic Resonance in Medicine, 2019, (Early View) (article)

DOI [BibTex]

Stimper, V., Bauer, S., Ernstorfer, R., Schölkopf, B., Xian, R. P. Multidimensional Contrast Limited Adaptive Histogram Equalization IEEE Access, 7, pages: 165437-165447, 2019 (article)

arXiv link (url) DOI [BibTex]

Tabibian, B., Upadhyay, U., De, A., Zarezade, A., Schölkopf, B., Gomez Rodriguez, M. Enhancing Human Learning via Spaced Repetition Optimization Proceedings of the National Academy of Sciences, 2019, PNAS published ahead of print January 22, 2019 (article)

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Büchler, D., Calandra, R., Peters, J. Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots 2019 (article) Submitted

Arxiv Video [BibTex]

Runge, J., Bathiany, S., Bollt, E., Camps-Valls, G., Coumou, D., Deyle, E., Glymour, C., Kretschmer, M., Mahecha, M., van Nes, E., Peters, J., Quax, R., Reichstein, M., Scheffer, M. S. B., Spirtes, P., Sugihara, G., Sun, J., Zhang, K., Zscheischler, J. Inferring causation from time series with perspectives in Earth system sciences Nature Communications, 2019 (article) In revision

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Kübler, J. M., Muandet, K., Schölkopf, B. Quantum mean embedding of probability distributions Physical Review Research, 1(3):033159, American Physical Society, 2019 (article)

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Gomez-Gonzalez, S., Nemmour, Y., Schölkopf, B., Peters, J. Reliable Real-Time Ball Tracking for Robot Table Tennis Robotics, 8(4):90, 2019 (article)

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Koc, O., Maeda, G., Peters, J. Optimizing the Execution of Dynamic Robot Movements With Learning Control IEEE Transactions on Robotics, pages: 1-16, 2019 (article)

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Koc, O., Peters, J. Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework IEEE Robotics and Automation Letters, 4(2):1784-1791, 2019 (article)

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Klus, S., Schuster, I., Muandet, K. Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces Journal of Nonlinear Science, 2019, First Online: 21 August 2019 (article)

DOI [BibTex]

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)

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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)

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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]

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)

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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]

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)

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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]

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)

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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)

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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)

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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)

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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]

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

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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)

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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)

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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)

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Peters, J., Lee, D., Kober, J., Nguyen-Tuong, D., Bagnell, J., Schaal, S. Robot Learning In Springer Handbook of Robotics, pages: 357-394, 15, 2nd, (Editors: Siciliano, Bruno and Khatib, Oussama), Springer International Publishing, 2017 (inbook)

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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)

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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)

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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)

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

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Peters, J., Bagnell, J. Policy Gradient Methods In Encyclopedia of Machine Learning and Data Mining, pages: 982-985, 2nd, (Editors: Sammut, Claude and Webb, Geoffrey I.), Springer US, 2017 (inbook)

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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)

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Flad, N., Fomina, T., Bülthoff, H. H., Chuang, L. L. Unsupervised clustering of EOG as a viable substitute for optical eye-tracking In First Workshop on Eye Tracking and Visualization (ETVIS 2015), pages: 151-167, Mathematics and Visualization, (Editors: Burch, M., Chuang, L., Fisher, B., Schmidt, A., and Weiskopf, D.), Springer, 2017 (inbook)

DOI [BibTex]

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]

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)

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Janzing, D. Statistical Asymmetries Between Cause and Effect In Time in Physics, pages: 129-139, Tutorials, Schools, and Workshops in the Mathematical Sciences, (Editors: Renner, Renato and Stupar, Sandra), Springer International Publishing, Cham, 2017 (inbook)

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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)

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Peters, J., Tedrake, R., Roy, N., Morimoto, J. Robot Learning In Encyclopedia of Machine Learning and Data Mining, pages: 1106-1109, 2nd, (Editors: Sammut, Claude and Webb, Geoffrey I.), Springer US, 2017 (inbook)

DOI Project Page [BibTex]

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

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

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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]

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)

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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)

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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]

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)

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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)

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

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