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)
Schulz, E., Klenske, E., Bramley, N., Speekenbrink, M.
Strategic exploration in human adaptive control
Proceedings of the 39th Annual Conference of the Cognitive Science Society (CogSci), (Editors: Glenn Gunzelmann, Andrew Howes, Thora Tenbrink and Eddy J. Davelaar), cognitivesciencesociety.org, July 2017 (conference)
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)
Abdulsamad, H., Arenz, O., Peters, J., Neumann, G.
State-Regularized Policy Search for Linearized Dynamical Systems
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, (ICAPS), pages: 419-424, (Editors: Laura Barbulescu, Jeremy Frank, Mausam and Stephen F. Smith), AAAI Press, June 2017 (conference)
Gu*, S., Holly*, E., Lillicrap, T., Levine, S.
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates
Proceedings 2017 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Piscataway, NJ, USA, IEEE International Conference on Robotics and Automation (ICRA), May 2017, *equal contribution (conference)
Wilbers, D., Lioutikov, R., Peters, J.
Context-Driven Movement Primitive Adaptation
IEEE International Conference on Robotics and Automation (ICRA), pages: 3469-3475, IEEE, May 2017 (conference)
Farraj, F. B., Osa, T., Pedemonte, N., Peters, J., Neumann, G., Giordano, P.
A Learning-based Shared Control Architecture for Interactive Task Execution
IEEE International Conference on Robotics and Automation (ICRA), pages: 329-335, IEEE, May 2017 (conference)
Jayaram, V., Schölkopf, B., Grosse-Wentrup, M.
Frequency Peak Features for Low-Channel Classification in Motor Imagery Paradigms
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering (NER), pages: 321-324, May 2017 (conference)
Gabriel, A., Akrour, R., Peters, J., Neumann, G.
Empowered skills
IEEE International Conference on Robotics and Automation (ICRA), pages: 6435-6441, IEEE, May 2017 (conference)
End, F., Akrour, R., Peters, J., Neumann, G.
Layered direct policy search for learning hierarchical skills
IEEE International Conference on Robotics and Automation (ICRA), pages: 6442-6448, IEEE, May 2017 (conference)
Gu, S., Lillicrap, T., Ghahramani, Z., Turner, R. E., Levine, S.
Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic
Proceedings International Conference on Learning Representations (ICLR), OpenReviews.net, International Conference on Learning Representations, April 2017 (conference)
Jang, E., Gu, S., Poole, B.
Categorical Reparametrization with Gumbel-Softmax
Proceedings International Conference on Learning Representations 2017, OpenReviews.net, International Conference on Learning Representations, April 2017 (conference)
Balog, M., Gaunt, A. L., Brockschmidt, M., Nowozin, S., Tarlow, D.
DeepCoder: Learning to Write Programs
Proceedings International Conference on Learning Representations 2017, OpenReviews.net, International Conference on Learning Representations, April 2017 (conference)
Loktyushin, A., Ehses, P., Schölkopf, B., Scheffler, K.
Estimating B0 inhomogeneities with projection FID navigator readouts
25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), April 2017 (poster)
Tabibian, B., Valera, I., Farajtabar, M., Song, L., Schölkopf, B., Gomez Rodriguez, M.
Distilling Information Reliability and Source Trustworthiness from Digital Traces
Proceedings of the 26th International Conference on World Wide Web (WWW), pages: 847-855, (Editors: Barrett, R., Cummings, R., Agichtein, E. and Gabrilovich, E. ), ACM, April 2017 (conference)
Feng, X., Loktyushin, A., Deistung, A., Reichenbach, J.
Image Quality Improvement by Applying Retrospective Motion Correction on Quantitative Susceptibility Mapping and R2*
25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), April 2017 (poster)
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)
Raj, A., Kumar, A., Mroueh, Y., Fletcher, T., Schölkopf, B.
Local Group Invariant Representations via Orbit Embeddings
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS), 54, pages: 1225-1235, Proceedings of Machine Learning Research, (Editors: Aarti Singh and Jerry Zhu), April 2017 (conference)
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)
Ozdenizci, O., Yalcin, M., Erdogan, A., Patoglu, V., Grosse-Wentrup, M., Cetin, M.
Pre-Movement Contralateral EEG Low Beta Power Is Modulated with Motor Adaptation Learning
International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages: 934-938, March 2017 (conference)
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)
Meding, K., Loktyushin, A., Hirsch, M.
Automatic detection of motion artifacts in MR images using CNNs
42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages: 811-815, March 2017 (conference)
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)
Belousov, B., Neumann, G., Rothkopf, C., Peters, J.
Catching heuristics are optimal control policies
Proceedings of the Thirteenth Karniel Computational Motor Control Workshop, March 2017 (conference)
Babbar, R., Schölkopf, B.
DiSMEC – Distributed Sparse Machines for Extreme Multi-label Classification
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining (WSDM), pages: 721-729, Febuary 2017 (conference)
Tangkaratt, V., van Hoof, H., Parisi, S., Neumann, G., Peters, J., Sugiyama, M.
Policy Search with High-Dimensional Context Variables
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI), pages: 2632-2638, (Editors: Satinder P. Singh and Shaul Markovitch), AAAI Press, Febuary 2017 (conference)
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)
Peters, J., Janzing, D., Schölkopf, B.
Elements of Causal Inference - Foundations and Learning Algorithms
Adaptive Computation and Machine Learning Series, The MIT Press, Cambridge, MA, USA, 2017 (book)
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)
Ewerton, M., Kollegger, G., Maeda, G., Wiemeyer, J., Peters, J.
Iterative Feedback-basierte Korrekturstrategien beim Bewegungslernen von Mensch-Roboter-Dyaden
In DVS Sportmotorik 2017, 2017 (inproceedings)
Kollegger, G., Wiemeyer, J., Ewerton, M., Peters, J.
BIMROB - Bidirectional Interaction between human and robot for the learning of movements - Robot trains human - Human trains robot
In Inovation & Technologie im Sport - 23. Sportwissenschaftlicher Hochschultag der deutschen Vereinigung für Sportwissenschaft, pages: 179, (Editors: A. Schwirtz, F. Mess, Y. Demetriou & V. Senner ), Czwalina-Feldhaus, 2017 (inproceedings)
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)
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)
Wiemeyer, J., Peters, J., Kollegger, G., Ewerton, M.
BIMROB – Bidirektionale Interaktion von Mensch und Roboter beim Bewegungslernen
DVS Sportmotorik 2017, 2017 (conference)
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)
Klenske, E. D.
Nonparametric Disturbance Correction and Nonlinear Dual Control
(24098), ETH Zurich, 2017 (phdthesis)
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)
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)
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)
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)
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)