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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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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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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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]

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]

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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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]

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]

Klenske, E. D. Nonparametric Disturbance Correction and Nonlinear Dual Control (24098), ETH Zurich, 2017 (phdthesis)

DOI [BibTex]

Emde, T. Development and Evaluation of a Portable BCI System for Remote Data Acquisition Graduate School of Neural Information Processing, Eberhard Karls Universität Tübingen, Germany, 2017 (mastersthesis)

[BibTex]

Fomina, T. Brain-Computer Interfaces for patients with Amyotrophic Lateral Sclerosis Eberhard Karls Universität Tübingen, Germany, 2017 (phdthesis)

[BibTex]

Geiger, P. Causal models for decision making via integrative inference University of Stuttgart, Germany, 2017 (phdthesis)

[BibTex]

Sücker, K. Learning Optimal Configurations for Modeling Frowning by Transcranial Electrical Stimulation Graduate School of Neural Information Processing, Eberhard Karls Universität Tübingen, Germany, 2017 (mastersthesis)

[BibTex]

Schober, M. Camera-specific Image Denoising Eberhard Karls Universität Tübingen, Germany, October 2013 (diplomathesis)

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Balduzzi, D. Falsification and future performance In Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 7070, pages: 65-78, Lecture Notes in Computer Science, Springer, Berlin, Germany, Solomonoff 85th Memorial Conference, January 2013 (inproceedings)

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Gopalan, N., Deisenroth, M., Peters, J. Feedback Error Learning for Rhythmic Motor Primitives In Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA 2013), pages: 1317-1322, 2013 (inproceedings)

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Lopez-Paz, D., Hernandez-Lobato, J., Ghahramani, Z. Gaussian Process Vine Copulas for Multivariate Dependence In Proceedings of the 30th International Conference on Machine Learning, W&CP 28(2), pages: 10-18, (Editors: S Dasgupta and D McAllester), JMLR, ICML, 2013, Poster: http://people.tuebingen.mpg.de/dlopez/papers/icml2013_gpvine_poster.pdf (inproceedings)

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Lopez-Paz, D., Hennig, P., Schölkopf, B. The Randomized Dependence Coefficient In Advances in Neural Information Processing Systems 26, pages: 1-9, (Editors: C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

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Harmeling, S., Hirsch, M., Schölkopf, B. On a link between kernel mean maps and Fraunhofer diffraction, with an application to super-resolution beyond the diffraction limit In IEEE Conference on Computer Vision and Pattern Recognition, pages: 1083-1090, IEEE, CVPR, 2013 (inproceedings)

DOI [BibTex]

Dinuzzo, F., Ong, C., Fukumizu, K. Output Kernel Learning Methods In International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines: theory and applications, ROKS, 2013 (inproceedings)

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Bocsi, B., Csato, L., Peters, J. Alignment-based Transfer Learning for Robot Models In Proceedings of the 2013 International Joint Conference on Neural Networks (IJCNN 2013), pages: 1-7, 2013 (inproceedings)

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Chen, Z., Zhang, K., Chan, L. Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method In 13th International Conference on Data Mining, pages: 1003-1008, (Editors: H. Xiong, G. Karypis, B. M. Thuraisingham, D. J. Cook and X. Wu), IEEE Computer Society, ICDM, 2013 (inproceedings)

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Paraschos, A., Neumann, G., Peters, J. A probabilistic approach to robot trajectory generation In Proceedings of the 13th IEEE International Conference on Humanoid Robots (HUMANOIDS), pages: 477-483, IEEE, 13th IEEE-RAS International Conference on Humanoid Robots, 2013 (inproceedings)

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Sra, S., Hosseini, R. Geometric optimisation on positive definite matrices for elliptically contoured distributions In Advances in Neural Information Processing Systems 26, pages: 2562-2570, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

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Hennig, P. Fast Probabilistic Optimization from Noisy Gradients In Proceedings of The 30th International Conference on Machine Learning, JMLR W&CP 28(1), pages: 62–70, (Editors: S Dasgupta and D McAllester), ICML, 2013 (inproceedings)

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Gomez Rodriguez, M., Leskovec, J., Schölkopf, B. Structure and Dynamics of Information Pathways in On-line Media In 6th ACM International Conference on Web Search and Data Mining (WSDM), pages: 23-32, (Editors: S Leonardi, A Panconesi, P Ferragina, and A Gionis), ACM, WSDM, 2013 (inproceedings)

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Seldin, Y., Szepesvári, C., Auer, P., Abbasi-Yadkori, Y. Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments In Proceedings of the Tenth European Workshop on Reinforcement Learning , pages: 103-116, (Editors: MP Deisenroth and C Szepesvári and J Peters), JMLR, EWRL, 2013 (inproceedings)

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Zhang, K., Schölkopf, B., Muandet, K., Wang, Z. Domain adaptation under Target and Conditional Shift In Proceedings of the 30th International Conference on Machine Learning, W&CP 28 (3), pages: 819–827, (Editors: S Dasgupta and D McAllester), JMLR, ICML, 2013 (inproceedings)

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Mooij, J., Janzing, D., Schölkopf, B. From Ordinary Differential Equations to Structural Causal Models: the deterministic case In Proceedings of the Twenty-Ninth Conference Annual Conference on Uncertainty in Artificial Intelligence, pages: 440-448, (Editors: A Nicholson and P Smyth), AUAI Press, Corvallis, Oregon, UAI, 2013 (inproceedings)

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Schuler, C., Burger, H., Harmeling, S., Schölkopf, B. A machine learning approach for non-blind image deconvolution In IEEE Conference on Computer Vision and Pattern Recognition, pages: 1067-1074, IEEE, CVPR, 2013 (inproceedings)

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Daniel, C., Neumann, G., Peters, J. Autonomous Reinforcement Learning with Hierarchical REPS In Proceedings of the 2013 International Joint Conference on Neural Networks (IJCNN 2013), pages: 1-8, 2013 (inproceedings)

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Feragen, A., Petersen, J., Grimm, D., Dirksen, A., Pedersen, JH., Borgwardt, KM., de Bruijne, M. Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry In Information Processing in Medical Imaging, pages: 171-183, (Editors: JC Gee and S Joshi and KM Pohl and WM Wells and L Zöllei), Springer, Berlin Heidelberg, 23rd International Conference on Information Processing in Medical Imaging (IPMI), 2013, Lecture Notes in Computer Science, Vol. 7017 (inproceedings)

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Zhang, K., Wang, Z., Schölkopf, B. On estimation of functional causal models: Post-nonlinear causal model as an example In First IEEE ICDM workshop on causal discovery , 2013, Held in conjunction with the 12th IEEE International Conference on Data Mining (ICDM 2013) (inproceedings)

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van Hoof, H., Krömer, O., Peters, J. Object Modeling and Segmentation by Robot Interaction with Cluttered Environments In Proceedings of the IEEE International Conference on Humanoid Robots (HUMANOIDS), pages: 169-176, IEEE, 13th IEEE-RAS International Conference on Humanoid Robots, 2013 (inproceedings)

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Jegelka, S., Bach, F., Sra, S. Reflection methods for user-friendly submodular optimization In Advances in Neural Information Processing Systems 26, pages: 1313-1321, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

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Babbar, R., Partalas, I., Gaussier, E., Amini, M. On Flat versus Hierarchical Classification in Large-Scale Taxonomies In Advances in Neural Information Processing Systems 26, pages: 1824-1832, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

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Kupcsik, A., Deisenroth, M., Peters, J., Neumann, G. Data-Efficient Generalization of Robot Skills with Contextual Policy Search In Proceedings of the 27th National Conference on Artificial Intelligence (AAAI 2013), (Editors: desJardins, M. and Littman, M. L.), AAAI Press, 2013 (inproceedings)

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Muandet, K., Schölkopf, B. One-class Support Measure Machines for Group Anomaly Detection In Proceedings 29th Conference on Uncertainty in Artificial Intelligence (UAI), pages: 449-458, (Editors: Ann Nicholson and Padhraic Smyth), AUAI Press, Corvallis, Oregon, UAI, 2013 (inproceedings)

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Gomez Rodriguez, M., Leskovec, J., Schölkopf, B. Modeling Information Propagation with Survival Theory In Proceedings of the 30th International Conference on Machine Learning, JMLR W&CP 28 (3), pages: 666-674, (Editors: S Dasgupta and D McAllester), JMLR, ICML, 2013 (inproceedings)

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Grosse-Wentrup, M., Harmeling, S., Zander, T., Hill, J., Schölkopf, B. How to Test the Quality of Reconstructed Sources in Independent Component Analysis (ICA) of EEG/MEG Data In Proceedings of the 3rd International Workshop on Pattern Recognition in NeuroImaging (PRNI), pages: 102-105, IEEE Xplore Digital Library, PRNI, 2013 (inproceedings)

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