pf Palagi, S., Walker, D. Q. T., Fischer, P. Nanoscale robotic agents in biological fluids and tissues In The Encyclopedia of Medical Robotics, 2, pages: 19-42, 2, (Editors: Desai, J. P. and Ferreira, A.), World Scientific, October 2018 (inbook)

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hi Kuchenbecker, K. J. Haptics and Haptic Interfaces In Encyclopedia of Robotics, (Editors: Marcelo H. Ang and Oussama Khatib and Bruno Siciliano), Springer, May 2018 (incollection)

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ics Mager, F., Baumann, D., Trimpe, S., Zimmerling, M. Poster Abstract: Toward Fast Closed-loop Control over Multi-hop Low-power Wireless Networks Proceedings of the 17th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), pages: 158-159, Porto, Portugal, April 2018 (poster)

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ei Goris, R., Henaff, O., Meding, K. Representation of sensory uncertainty in macaque visual cortex Computational and Systems Neuroscience (COSYNE) 2018, March 2018 (poster)

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ei Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N. K., Besserve, M. Generalized phase locking analysis of electrophysiology data 7th AREADNE Conference on Research in Encoding and Decoding of Neural Ensembles, 2018 (poster)

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ei Schökopf, B. Maschinelles Lernen: Entwicklung ohne Grenzen? In Mit Optimismus in die Zukunft schauen. Künstliche Intelligenz - Chancen und Rahmenbedingungen, pages: 26-34, (Editors: Bender, G. and Herbrich, R. and Siebenhaar, K.), B&S Siebenhaar Verlag, 2018 (incollection)

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ei Wichmann, F. A., Jäkel, F. Methods in Psychophysics In Stevens’ Handbook of Experimental Psychology and Cognitive Neuroscience, 5 (Methodology), 7, 4th, John Wiley & Sons, Inc., 2018 (inbook)

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ei Pérez-Pellitero, E., Sajjadi, M. S. M., Hirsch, M., Schölkopf, B. Photorealistic Video Super Resolution Workshop and Challenge on Perceptual Image Restoration and Manipulation (PIRM) at the 15th European Conference on Computer Vision (ECCV), 2018 (poster)

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ei Meding, K., Hirsch, M., Wichmann, F. A. Retinal image quality of the human eye across the visual field 14th Biannual Conference of the German Society for Cognitive Science (KOGWIS 2018), 2018 (poster)

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ei Jayaram, V., Fiebig, K., Peters, J., Grosse-Wentrup, M. Transfer Learning for BCIs In Brain–Computer Interfaces Handbook, pages: 425-442, 22, (Editors: Chang S. Nam, Anton Nijholt and Fabien Lotte), CRC Press, 2018 (incollection)

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ei Grosse-Wentrup, M., Schölkopf, B. A Review of Performance Variations in SMR-Based Brain–Computer Interfaces (BCIs) In Brain-Computer Interface Research, pages: 39-51, 4, SpringerBriefs in Electrical and Computer Engineering, (Editors: Guger, C., Allison, B. Z. and Edlinger, G.), Springer, 2013 (inbook)

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ei Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N., Besserve, M. Coupling between spiking activity and beta band spatio-temporal patterns in the macaque PFC 43rd Annual Meeting of the Society for Neuroscience (Neuroscience), 2013 (poster)

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ei Lopez-Paz, D., Hernandez-Lobato, J., Ghahramani, Z. Gaussian Process Vine Copulas for Multivariate Dependence International Conference on Machine Learning (ICML), 2013 (poster)

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ei Muandet, K., Balduzzi, D., Schölkopf, B. Domain Generalization via Invariant Feature Representation 30th International Conference on Machine Learning (ICML2013), 2013 (poster)

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ei Schölkopf, B., Janzing, D., Peters, J., Sgouritsa, E., Zhang, K., Mooij, J. Semi-supervised learning in causal and anticausal settings In Empirical Inference, pages: 129-141, 13, Festschrift in Honor of Vladimir Vapnik, (Editors: Schölkopf, B., Luo, Z. and Vovk, V.), Springer, 2013 (inbook)

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ei Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N., Besserve, M. Analyzing locking of spikes to spatio-temporal patterns in the macaque prefrontal cortex Bernstein Conference, 2013 (poster)

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ei Sra, S. Tractable large-scale optimization in machine learning In Tractability: Practical Approaches to Hard Problems, pages: 202-230, 7, (Editors: Bordeaux, L., Hamadi , Y., Kohli, P. and Mateescu, R. ), Cambridge University Press , 2013 (inbook)

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ei Muandet, K., Schölkopf, B. One-class Support Measure Machines for Group Anomaly Detection 29th Conference on Uncertainty in Artificial Intelligence (UAI), 2013 (poster)

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ei pn Lopez-Paz, D., Hennig, P., Schölkopf, B. The Randomized Dependence Coefficient Neural Information Processing Systems (NIPS), 2013 (poster)

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ei Ramirez-Villegas, J., Logothetis, N., Besserve, M. Characterization of different types of sharp-wave ripple signatures in the CA1 of the macaque hippocampus 4th German Neurophysiology PhD Meeting Networks, 2013 (poster)

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ei Seldin, Y., Schölkopf, B. On the Relations and Differences between Popper Dimension, Exclusion Dimension and VC-Dimension In Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, pages: 53-57, 6, (Editors: Schölkopf, B., Luo, Z. and Vovk, V.), Springer, 2013 (inbook)

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al Der, R., Martius, G. Behavior as broken symmetry in embodied self-organizing robots In Advances in Artificial Life, ECAL 2013, pages: 601-608, MIT Press, 2013 (incollection)

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am mg Righetti, L., Buchli, J., Mistry, M., Kalakrishnan, M., Schaal, S. Using Torque Redundancy to Optimize Contact Forces in Legged Robots In Redundancy in Robot Manipulators and Multi-Robot Systems, 57, pages: 35-51, Lecture Notes in Electrical Engineering, Springer Berlin Heidelberg, 2013 (incollection)

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ps Gall, J., Lempitsky, V. Class-Specific Hough Forests for Object Detection In Decision Forests for Computer Vision and Medical Image Analysis, pages: 143-157, 11, (Editors: Criminisi, A. and Shotton, J.), Springer, 2013 (incollection)

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ei Schmidt, M., Kim, D., Sra, S. Projected Newton-type methods in machine learning In Optimization for Machine Learning, pages: 305-330, (Editors: Sra, S., Nowozin, S. and Wright, S. J.), MIT Press, Cambridge, MA, USA, December 2011 (inbook)

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ei Panagiotaropoulos, T., Besserve, M., Crocker, B., Kapoor, V., Tolias, A., Panzeri, S., Logothetis, N. Spatiotemporal mapping of rhythmic activity in the inferior convexity of the macaque prefrontal cortex 41(239.15), 41st Annual Meeting of the Society for Neuroscience (Neuroscience), November 2011 (poster)

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ei Mantlik, F., Hofmann, M., Bezrukov, I., Schmidt, H., Kolb, A., Beyer, T., Reimold, M., Schölkopf, B., Pichler, B. Evaluation and Optimization of MR-Based Attenuation Correction Methods in Combined Brain PET/MR 2011(MIC18.M-96), 2011 IEEE Nuclear Science Symposium, Medical Imaging Conference (NSS-MIC), October 2011 (poster)

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ei Bezrukov, I., Schmidt, H., Mantlik, F., Schwenzer, N., Hofmann, M., Schölkopf, B., Pichler, B. Atlas- and Pattern Recognition Based Attenuation Correction on Simultaneous Whole-Body PET/MR 2011(MIC18.M-116), 2011 IEEE Nuclear Science Symposium, Medical Imaging Conference (NSS-MIC), October 2011 (poster)

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ei Loktyushin, A., Nickisch, H., Pohmann, R. Retrospective blind motion correction of MR images Magnetic Resonance Materials in Physics, Biology and Medicine, 24(Supplement 1):498, 28th Annual Scientific Meeting ESMRMB, October 2011 (poster)

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ei Blecher, W., Pohmann, R., Schölkopf, B., Seeger, M. Model based reconstruction for GRE EPI Magnetic Resonance Materials in Physics, Biology and Medicine, 24(Supplement 1):493-494, 28th Annual Scientific Meeting ESMRMB, October 2011 (poster)

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ei Brendle, C., Sauter, A., Schmidt, H., Schraml, C., Bezrukov, I., Martirosian, P., Hetzel, J., Müller, M., Claussen, C., Schwenzer, N., Pfannenberg, C. Simultaneous multimodal imaging of patients with bronchial carcinoma in a whole body MR/PET system Magnetic Resonance Materials in Physics, Biology and Medicine, 24(Supplement 1):141, 28th annual scientific meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRB), October 2011 (poster)

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ei von Luxburg, U., Schölkopf, B. Statistical Learning Theory: Models, Concepts, and Results In Handbook of the History of Logic, Vol. 10: Inductive Logic, 10, pages: 651-706, (Editors: Gabbay, D. M., Hartmann, S. and Woods, J. H.), Elsevier North Holland, Amsterdam, Netherlands, May 2011 (inbook)

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ei Peters, J., Tedrake, R., Roy, N., Morimoto, J. Robot Learning In Encyclopedia of Machine Learning, pages: 865-869, Encyclopedia of machine learning, (Editors: Sammut, C. and Webb, G. I.), Springer, New York, NY, USA, January 2011 (inbook)

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ei Grimm, D., Hagmann, J., König, D., Weigel, D., Borgwardt, KM. Support Vector Machines for finding deletions and short insertions using paired-end short reads International Conference on Intelligent Systems for Molecular Biology (ISMB), 2011 (poster)

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ei Ihme, K., Zander, TO. What You Expect Is What You Get? Potential Use of Contingent Negative Variation for Passive BCI Systems in Gaze-Based HCI In Affective Computing and Intelligent Interaction, 6975, pages: 447-456, Lecture Notes in Computer Science, (Editors: D’Mello, S., Graesser, A., Schuller, B. and Martin, J.-C.), Springer, Berlin, Germany, 2011 (inbook)

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ei Hernandez-Lobato, J., Lopez-Paz, D., Gharhamani, Z. Expectation Propagation for the Estimation of Conditional Bivariate Copulas 2011 (poster)

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ei Borgwardt, KM. Kernel Methods in Bioinformatics In Handbook of Statistical Bioinformatics, pages: 317-334, Springer Handbooks of Computational Statistics ; 3, (Editors: Lu, H.H.-S., Schölkopf, B. and Zhao, H.), Springer, Berlin, Germany, 2011 (inbook)

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ei Langovoy, M., Sra, S. Statistical estimation for optimization problems on graphs Empirical Inference Symposium, 2011 (poster)

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ei Rosas, P., Wichmann, F. Cue Combination: Beyond Optimality In Sensory Cue Integration, pages: 144-152, (Editors: Trommershäuser, J., Körding, K. and Landy, M. S.), Oxford University Press, 2011 (inbook)

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ei Lopez-Paz, D., Hernandez-Lobato, J. Transfer Learning with Copulas Neural Information Processing Systems (NIPS), 2011 (poster)

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pi Xie, H., Onal, C., Régnier, S., Sitti, M. Automated Control of AFM Based Nanomanipulation In Atomic Force Microscopy Based Nanorobotics, pages: 237-311, Springer Berlin Heidelberg, 2011 (incollection)

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pi Xie, H., Onal, C., Régnier, S., Sitti, M. Teleoperation Based AFM Manipulation Control In Atomic Force Microscopy Based Nanorobotics, pages: 145-235, Springer Berlin Heidelberg, 2011 (incollection)

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pi Xie, H., Onal, C., Régnier, S., Sitti, M. Descriptions and challenges of AFM based nanorobotic systems In Atomic Force Microscopy Based Nanorobotics, pages: 13-29, Springer Berlin Heidelberg, 2011 (incollection)

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al Martius, G., Herrmann, J. M. Tipping the Scales: Guidance and Intrinsically Motivated Behavior In Advances in Artificial Life, ECAL 2011, pages: 506-513, (Editors: Tom Lenaerts and Mario Giacobini and Hugues Bersini and Paul Bourgine and Marco Dorigo and René Doursat), MIT Press, 2011 (incollection)

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ps Andriluka, M., Sigal, L., Black, M. J. Benchmark datasets for pose estimation and tracking In Visual Analysis of Humans: Looking at People, pages: 253-274, (Editors: Moesland and Hilton and Kr"uger and Sigal), Springer-Verlag, London, 2011 (incollection)

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pi Xie, H., Onal, C., Régnier, S., Sitti, M. Applications of AFM Based Nanorobotic Systems In Atomic Force Microscopy Based Nanorobotics, pages: 313-342, Springer Berlin Heidelberg, 2011 (incollection)

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ps Roth, S., Black, M. J. Steerable random fields for image restoration and inpainting In Markov Random Fields for Vision and Image Processing, pages: 377-387, (Editors: Blake, A. and Kohli, P. and Rother, C.), MIT Press, 2011 (incollection)

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pi Xie, H., Onal, C., Régnier, S., Sitti, M. Nanomechanics of AFM based nanomanipulation In Atomic Force Microscopy Based Nanorobotics, pages: 87-143, Springer Berlin Heidelberg, 2011 (incollection)

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pi Xie, H., Onal, C., Régnier, S., Sitti, M. Instrumentation Issues of an AFM Based Nanorobotic System In Atomic Force Microscopy Based Nanorobotics, pages: 31-86, Springer Berlin Heidelberg, 2011 (incollection)

[BibTex]

mms Schmidt, M., Kim, D., Sra, S. Projected Newton-type methods in machine learning In Optimization for Machine Learning, pages: 305-330, MIT Press, Cambridge, MA, USA, 2011 (incollection)

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