Jaques, N., Gu, S., Bahdanau, D., Hernández-Lobato, J. M., Turner, R. E., Eck, D. Sequence Tutor: Conservative fine-tuning of sequence generation models with KL-control Proceedings of the 34th International Conference on Machine Learning, 70, pages: 1645-1654, Proceedings of Machine Learning Research, (Editors: Doina Precup, Yee Whye Teh), PMLR, International Conference on Machine Learning (ICML), August 2017 (conference)

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Balog, M., Tripuraneni, N., Ghahramani, Z., Weller, A. Lost Relatives of the Gumbel Trick Proceedings of the 34th International Conference on Machine Learning, 70, pages: 371-379, Proceedings of Machine Learning Research, (Editors: Doina Precup, Yee Whye Teh), PMLR, International Conference on Machine Learning (ICML), August 2017 (conference)

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Stich, S., Raj, A., Jaggi, M. Approximate Steepest Coordinate Descent Proceedings of the 34th International Conference on Machine Learning, 70, pages: 3251-3259, Proceedings of Machine Learning Research, (Editors: Doina Precup, Yee Whye Teh), PMLR, International Conference on Machine Learning (ICML), August 2017 (conference)

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Rubenstein*, P. K., Weichwald*, S., Bongers, S., Mooij, J. M., Janzing, D., Grosse-Wentrup, M., Schölkopf, B. Causal Consistency of Structural Equation Models Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence (UAI), (Editors: Gal Elidan, Kristian Kersting, and Alexander T. Ihler), Association for Uncertainty in Artificial Intelligence (AUAI), Conference on Uncertainty in Artificial Intelligence (UAI), August 2017, *equal contribution (conference)

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Gong, M., Zhang, K., Schölkopf, B., Glymour, C., Tao, D. Causal Discovery from Temporally Aggregated Time Series Proceedings Conference on Uncertainty in Artificial Intelligence (UAI) 2017, pages: ID 269, (Editors: Gal Elidan, Kristian Kersting, and Alexander T. Ihler), Association for Uncertainty in Artificial Intelligence (AUAI), Conference on Uncertainty in Artificial Intelligence (UAI), August 2017 (conference)

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Zhang, K., Huang, B., Zhang, J., Glymour, C., Schölkopf, B. Causal Discovery from Nonstationary/Heterogeneous Data: Skeleton Estimation and Orientation Determination Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI), pages: 1347-1353, (Editors: Carles Sierra), August 2017 (conference)

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Lu, C., Hirsch, M., Schölkopf, B. Flexible Spatio-Temporal Networks for Video Prediction Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, pages: 2137-2145, IEEE, Piscataway, NJ, USA, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017 (conference)

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Lopez-Paz, D., Nishihara, R., Chintala, S., Schölkopf, B., Bottou, L. Discovering Causal Signals in Images Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, pages: 58-66, IEEE, Piscataway, NJ, USA, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017 (conference)

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Schober, M., Adam, A., Yair, O., Mazor, S., Nowozin, S. Dynamic Time-of-Flight Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, pages: 170-179, IEEE, Piscataway, NJ, USA, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017 (conference)

DOI [BibTex]

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]

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)

link (url) [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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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)

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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)

Arxiv Project Page [BibTex]

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)

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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)

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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)

DOI [BibTex]

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)

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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)

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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)

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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)

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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)

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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)

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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)

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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)

link (url) [BibTex]

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]

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)

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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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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)

DOI [BibTex]

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)

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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)

DOI [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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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)

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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)

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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)

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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]

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)

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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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Weichwald, S., Grosse-Wentrup, M. The right tool for the right question — beyond the encoding versus decoding dichotomy 2017 (misc)

ArXiv PDF [BibTex]

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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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)

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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)

[BibTex]

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)

Project Page [BibTex]

Wiemeyer, J., Peters, J., Kollegger, G., Ewerton, M. BIMROB – Bidirektionale Interaktion von Mensch und Roboter beim Bewegungslernen DVS Sportmotorik 2017, 2017 (conference)

link (url) [BibTex]

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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