ei
von Kügelgen, J., Mey, A., Loog, M., Schölkopf, B.
Semi-supervised learning, causality, and the conditional cluster assumption
NeurIPS 2019 Workshop “Do the right thing”: machine learning and causal inference for improved decision making, December 2019 (poster) Accepted
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von Kügelgen, J., Rubenstein, P., Schölkopf, B., Weller, A.
Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks
NeurIPS 2019 Workshop “Do the right thing”: machine learning and causal inference for improved decision making, December 2019 (poster) Accepted
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Mager, F., Baumann, D., Jacob, R., Thiele, L., Trimpe, S., Zimmerling, M.
Demo Abstract: Fast Feedback Control and Coordination with Mode Changes for Wireless Cyber-Physical Systems
Proceedings of the 18th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), pages: 340-341, 18th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), April 2019 (poster)
ei
Meding, K., Schölkopf, B., Wichmann, F. A.
Perception of temporal dependencies in autoregressive motion
European Conference on Visual Perception (ECVP), 2019 (poster)
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Bruijns, S. A., Meding, K., Schölkopf, B., Wichmann, F. A.
Phenomenal Causality and Sensory Realism
European Conference on Visual Perception (ECVP), 2019 (poster)
ei
Aghaeifar, A., Loktyushin, A., Eschelbach, M., Scheffler, K.
Improving performance of linear field generation with multi-coil setup by optimizing coils position
Magnetic Resonance Materials in Physics, Biology and Medicine, 30(Supplement 1):S259, 34th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB), October 2017 (poster)
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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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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)
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Palagi, S., (Walker) Schamel, D., Qiu, T., Fischer, P.
Chapter 8 - Micro- and nanorobots in Newtonian and biological viscoelastic fluids
In Microbiorobotics, pages: 133 - 162, 8, Micro and Nano Technologies, Second edition, Elsevier, Boston, March 2017 (incollection)
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Fleming, R., Mohler, B. J., Romero, J., Black, M. J., Breidt, M.
Appealing Avatars from 3D Body Scans: Perceptual Effects of Stylization
In Computer Vision, Imaging and Computer Graphics Theory and Applications: 11th International Joint Conference, VISIGRAPP 2016, Rome, Italy, February 27 – 29, 2016, Revised Selected Papers, pages: 175-196, Springer International Publishing, 2017 (inbook)
am
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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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Prokudin, S., Kappler, D., Nowozin, S., Gehler, P.
Learning to Filter Object Detections
In Pattern Recognition: 39th German Conference, GCPR 2017, Basel, Switzerland, September 12–15, 2017, Proceedings, pages: 52-62, Springer International Publishing, Cham, 2017 (inbook)
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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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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)
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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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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)
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Nestmeyer, T., Robuffo Giordano, P., Bülthoff, H. H., Franchi, A.
Decentralized Simultaneous Multi-target Exploration using a Connected Network of Multiple Robots
In pages: 989-1011, Autonomous Robots, 2017 (incollection)
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Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N. K., Besserve, M.
Generalized phase locking analysis of electrophysiology data
ESI Systems Neuroscience Conference (ESI-SyNC 2017): Principles of Structural and Functional Connectivity, 2017 (poster)
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Righetti, L., Herzog, A.
Momentum-Centered Control of Contact Interactions
In Geometric and Numerical Foundations of Movements, 117, pages: 339-359, Springer Tracts in Advanced Robotics, Springer, Cham, 2017 (incollection)
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Dominey, P. F., Prescott, T. J., Bohg, J., Engel, A. K., Gallagher, S., Heed, T., Hoffmann, M., Knoblich, G., Prinz, W., Schwartz, A.
Implications of Action-Oriented Paradigm Shifts in Cognitive Science
In The Pragmatic Turn - Toward Action-Oriented Views in Cognitive Science, 18, pages: 333-356, 20, Strüngmann Forum Reports, vol. 18, J. Lupp, series editor, (Editors: Andreas K. Engel and Karl J. Friston and Danica Kragic), The MIT Press, 18th Ernst Strüngmann Forum, May 2016 (incollection) In press
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Loktyushin, A., Ehses, P., Schölkopf, B., Scheffler, K.
Autofocusing-based correction of B0 fluctuation-induced ghosting
24th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), May 2016 (poster)
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Bohg, J., Kragic, D.
Learning Action-Perception Cycles in Robotics: A Question of Representations and Embodiment
In The Pragmatic Turn - Toward Action-Oriented Views in Cognitive Science, 18, pages: 309-320, 18, Strüngmann Forum Reports, vol. 18, J. Lupp, series editor, (Editors: Andreas K. Engel and Karl J. Friston and Danica Kragic), The MIT Press, 18th Ernst Strüngmann Forum, May 2016 (incollection) In press
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Oh, Y., Sutanto, G., Mistry, M., Schweighofer, N., Schaal, S.
Distinct adaptation to abrupt and gradual torque perturbations with a multi-joint exoskeleton robot
Abstracts of Neural Control of Movement Conference (NCM 2016), Montego Bay, Jamaica, April 2016 (poster)
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Logothetis, N. K., Murayama, Y., Ramirez-Villegas, J. F., Besserve, M., Evrard, H.
PGO wave-triggered functional MRI: mapping the networks underlying synaptic consolidation
47th Annual Meeting of the Society for Neuroscience (Neuroscience), 2016 (poster)
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Zhang, K., Hyvärinen, A.
Nonlinear functional causal models for distinguishing cause from effect
In Statistics and Causality: Methods for Applied Empirical Research, pages: 185-201, 8, 1st, (Editors: Wolfgang Wiedermann and Alexander von Eye), John Wiley & Sons, Inc., 2016 (inbook)
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Hohmann, M., Fomina, T., Jayaram, V., Widmann, N., Förster, C., Just, J., Synofzik, M., Schölkopf, B., Schöls, L., Grosse-Wentrup, M.
A cognitive brain–computer interface for patients with amyotrophic lateral sclerosis
In Brain-Computer Interfaces: Lab Experiments to Real-World Applications, 228(Supplement C):221-239, 8, Progress in Brain Research, (Editors: Damien Coyle), Elsevier, 2016 (incollection)
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Ting, J., Meier, F., Vijayakumar, S., Schaal, S.
Locally Weighted Regression for Control
In Encyclopedia of Machine Learning and Data Mining, pages: 1-14, Springer US, Boston, MA, 2016 (inbook)
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Ramirez-Villegas, J. F., Logothetis, N. K., Besserve, M.
Statistical source separation of rhythmic LFP patterns during sharp wave ripples in the macaque hippocampus
47th Annual Meeting of the Society for Neuroscience (Neuroscience), 2016 (poster)
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Besserve, M., Logothetis, N. K.
Hippocampal neural events predict ongoing brain-wide BOLD activity
47th Annual Meeting of the Society for Neuroscience (Neuroscience), 2016 (poster)
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Diller, E., Sitti, M.
Untethered Magnetic Micromanipulation
In Micro-and Nanomanipulation Tools, 13, 10, Wiley-VCH Verlag GmbH & Co. KGaA, November 2015 (inbook)
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Ramirez-Villegas, J. F., Logothetis, N. K., Besserve, M.
Diversity of sharp wave-ripples in the CA1 of the macaque hippocampus and their brain wide signatures
45th Annual Meeting of the Society for Neuroscience (Neuroscience 2015), October 2015 (poster)
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Charpiat, G., Hofmann, M., Schölkopf, B.
Kernel methods in medical imaging
In Handbook of Biomedical Imaging, pages: 63-81, 4, (Editors: Paragios, N., Duncan, J. and Ayache, N.), Springer, Berlin, Germany, June 2015 (inbook)
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Loktyushin, A., Babayeva, M., Gallichan, D., Krueger, G., Scheffler, K., Kober, T.
Retrospective rigid motion correction of undersampled MRI data
23rd Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine, ISMRM, June 2015 (poster)
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Feng, X., Loktyushin, A., Deistung, A., Reichenbach, J. R.
Improving Quantitative Susceptibility and R2* Mapping by Applying Retrospective Motion Correction
23rd Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine, ISMRM, June 2015 (poster)
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Trimpe, S.
Lernende Roboter
In Jahrbuch der Max-Planck-Gesellschaft, Max Planck Society, May 2015, (popular science article in German) (inbook)
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Schaal, S.
Autonomous Robots
In Jahrbuch der Max-Planck-Gesellschaft, May 2015 (incollection)
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Foreman-Mackey, D., Hogg, D., Schölkopf, B., Wang, D.
Increasing the sensitivity of Kepler to Earth-like exoplanets
Workshop: 225th American Astronomical Society Meeting 2015 , pages: 105.01D, 2015 (poster)
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Wang, D., Foreman-Mackey, D., Hogg, D., Schölkopf, B.
Calibrating the pixel-level Kepler imaging data with a causal data-driven model
Workshop: 225th American Astronomical Society Meeting 2015 , pages: 258.08, 2015 (poster)
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Köhler, R., Schölkopf, B., Hirsch, M.
Disparity estimation from a generative light field model
IEEE International Conference on Computer Vision (ICCV 2015), Workshop on Inverse Rendering, 2015, Note: This work has been presented as a poster and is not included in the workshop proceedings. (poster)
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Janzing, D., Steudel, B., Shajarisales, N., Schölkopf, B.
Justifying Information-Geometric Causal Inference
In Measures of Complexity: Festschrift for Alexey Chervonenkis, pages: 253-265, 18, (Editors: Vovk, V., Papadopoulos, H. and Gammerman, A.), Springer, 2015 (inbook)
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Peters, J., Lee, D., Kober, J., Nguyen-Tuong, D., Bagnell, J. A., Schaal, S.
Robot Learning
In Springer Handbook of Robotics 2nd Edition, pages: 1371-1394, Springer Berlin Heidelberg, Berlin, Heidelberg, 2015 (incollection)
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Chiappa, S.
Variational Bayesian Model Selection in Linear Gaussian State-Space based Models
International Workshop on Flexible Modelling: Smoothing and Robustness (FMSR 2008), 2008, pages: 1, November 2008 (poster)
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Ecker, A., Berens, P., Hoenselaar, A., Subramaniyan, M., Tolias, A., Bethge, M.
Towards the neural basis of the flash-lag effect
International Workshop on Aspects of Adaptive Cortex Dynamics, 2008, pages: 1, September 2008 (poster)
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Peters, J., Kober, J., Nguyen-Tuong, D.
Policy Learning: A Unified Perspective With Applications In Robotics
8th European Workshop on Reinforcement Learning for Robotics (EWRL 2008), 8, pages: 10, July 2008 (poster)
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Kober, J., Peters, J.
Reinforcement Learning of Perceptual Coupling for Motor Primitives
8th European Workshop on Reinforcement Learning for Robotics (EWRL 2008), 8, pages: 16, July 2008 (poster)
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Bethge, M., Macke, J., Berens, P., Ecker, A., Tolias, A.
Flexible Models for Population Spike Trains
AREADNE 2008: Research in Encoding and Decoding of Neural Ensembles, 2, pages: 52, June 2008 (poster)
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Berens, P., Ecker, A., Subramaniyan, M., Macke, J., Hauck, P., Bethge, M., Tolias, A.
Pairwise Correlations and Multineuronal Firing Patterns in the Primary Visual Cortex of the Awake, Behaving Macaque
AREADNE 2008: Research in Encoding and Decoding of Neural Ensembles, 2, pages: 48, June 2008 (poster)
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Wichmann, F., Kienzle, W., Schölkopf, B., Franz, M.
Visual saliency re-visited: Center-surround patterns emerge as optimal predictors for human fixation targets
Journal of Vision, 8(6):635, 8th Annual Meeting of the Vision Sciences Society (VSS), June 2008 (poster)
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Ku, S., Gretton, A., Macke, J., Tolias, A., Logothetis, N.
Analysis of Pattern Recognition Methods in Classifying Bold Signals in Monkeys at 7-Tesla
AREADNE 2008: Research in Encoding and Decoding of Neural Ensembles, 2, pages: 67, June 2008 (poster)
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Nilges, M., Markwick, P., Malliavin, TE., Rieping, W., Habeck, M.
New Frontiers in Characterizing Structure and Dynamics by NMR
In Computational Structural Biology: Methods and Applications, pages: 655-680, (Editors: Schwede, T. , M. C. Peitsch), World Scientific, New Jersey, NJ, USA, May 2008 (inbook)