ei
Ihler, A. T., Janzing, D.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence (UAI)
pages: 869, AUAI Press, June 2016 (proceedings)
am
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
am
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
am
ics
Ebner, S., Trimpe, S.
Supplemental material for ’Communication Rate Analysis for Event-based State Estimation’
Max Planck Institute for Intelligent Systems, January 2016 (techreport)
ei
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)
ei
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)
am
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)
pi
Diller, E., Sitti, M.
Untethered Magnetic Micromanipulation
In Micro-and Nanomanipulation Tools, 13, 10, Wiley-VCH Verlag GmbH & Co. KGaA, November 2015 (inbook)
am
ics
Trimpe, S.
Distributed Event-based State Estimation
Max Planck Institute for Intelligent Systems, November 2015 (techreport)
ps
Gall, J., Gehler, P., Leibe, B.
Proceedings of the 37th German Conference on Pattern Recognition
Springer, German Conference on Pattern Recognition, October 2015 (proceedings)
ei
Besserve, M.
Causal Inference for Empirical Time Series Based on the Postulate of Independence of Cause and Mechanism
53rd Annual Allerton Conference on Communication, Control, and Computing, September 2015 (talk)
ei
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)
am
ics
Trimpe, S.
Lernende Roboter
In Jahrbuch der Max-Planck-Gesellschaft, Max Planck Society, May 2015, (popular science article in German) (inbook)
am
Schaal, S.
Autonomous Robots
In Jahrbuch der Max-Planck-Gesellschaft, May 2015 (incollection)
ei
Besserve, M.
Independence of cause and mechanism in brain networks
DALI workshop on Networks: Processes and Causality, April 2015 (talk)
ei
Chaves, R., Majenz, C., Luft, L., Maciel, T., Janzing, D., Schölkopf, B., Gross, D.
Information-Theoretic Implications of Classical and Quantum Causal Structures
18th Conference on Quantum Information Processing (QIP), 2015 (talk)
ei
Abbott, T., Abdalla, F. B., Allam, S., Amara, A., Annis, J., Armstrong, R., Bacon, D., Banerji, M., Bauer, A. H., Baxter, E., others,
Cosmology from Cosmic Shear with DES Science Verification Data
arXiv preprint arXiv:1507.05552, 2015 (techreport)
ei
Jarvis, M., Sheldon, E., Zuntz, J., Kacprzak, T., Bridle, S. L., Amara, A., Armstrong, R., Becker, M. R., Bernstein, G. M., Bonnett, C., others,
The DES Science Verification Weak Lensing Shear Catalogs
arXiv preprint arXiv:1507.05603, 2015 (techreport)
ei
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)
ei
Foreman-Mackey, D., Hogg, D. W., Schölkopf, B.
The search for single exoplanet transits in the Kepler light curves
IAU General Assembly, 22, pages: 2258352, 2015 (talk)
am
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)
ei
Saigo, H., Hattori, M., Tsuda, K.
Reaction graph kernels for discovering missing enzymes in the plant secondary metabolism
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)
ei
Sonnenburg, S., Zien, A., Philips, P., Rätsch, G.
Positional Oligomer Importance Matrices
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)
ei
Schweikert, G., Zeller, G., Weigel, D., Schölkopf, B., Rätsch, G.
Machine Learning Algorithms for Polymorphism Detection
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)
ei
Zien, A., Ong, C.
An Automated Combination of Kernels for Predicting Protein Subcellular Localization
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)
ei
Hill, NJ.
Challenges in Brain-Computer Interface Development: Induction, Measurement, Decoding, Integration
Invited keynote talk at the launch of BrainGain, the Dutch BCI research consortium, November 2007 (talk)
ei
Peters, J.
Policy Learning for Robotics
14th International Conference on Neural Information Processing (ICONIP), November 2007 (talk)
ei
Gretton, A.
Hilbert Space Representations of Probability Distributions
2nd Workshop on Machine Learning and Optimization at the ISM, October 2007 (talk)
ei
Kashima, H., Yamazaki, K., Saigo, H., Inokuchi, A.
Regression with Intervals
International Workshop on Data-Mining and Statistical Science (DMSS2007), October 2007, JSAI Incentive Award. Talk was given by Hisashi Kashima. (talk)
ei
Altun, Y., Hofmann, T., Tsochantaridis, I.
Support Vector Machine Learning for Interdependent and Structured Output Spaces
In Predicting Structured Data, pages: 85-104, Advances in neural information processing systems, (Editors: Bakir, G. H. , T. Hofmann, B. Schölkopf, A. J. Smola, B. Taskar, S. V. N. Vishwanathan), MIT Press, Cambridge, MA, USA, September 2007 (inbook)
ei
Jegelka, S., Gretton, A.
Brisk Kernel ICA
In Large Scale Kernel Machines, pages: 225-250, Neural Information Processing, (Editors: Bottou, L. , O. Chapelle, D. DeCoste, J. Weston), MIT Press, Cambridge, MA, USA, September 2007 (inbook)
ei
Hofmann, M., Steinke, F., Scheel, V., Brady, M., Schölkopf, B., Pichler, B.
MR-Based PET Attenuation Correction: Method and Validation
Joint Molecular Imaging Conference, September 2007 (talk)
ei
Chapelle, O.
Training a Support Vector Machine in the Primal
In Large Scale Kernel Machines, pages: 29-50, Neural Information Processing, (Editors: Bottou, L. , O. Chapelle, D. DeCoste, J. Weston), MIT Press, Cambridge, MA, USA, September 2007, This is a slightly updated version of the Neural Computation paper (inbook)
ei
Quiñonero-Candela, J., Rasmussen, CE., Williams, CKI.
Approximation Methods for Gaussian Process Regression
In Large-Scale Kernel Machines, pages: 203-223, Neural Information Processing, (Editors: Bottou, L. , O. Chapelle, D. DeCoste, J. Weston), MIT Press, Cambridge, MA, USA, September 2007 (inbook)
ei
Walder, C., Chapelle, O.
Learning with Transformation Invariant Kernels
(165), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, September 2007 (techreport)
ei
Schölkopf, B., Platt, J., Hofmann, T.
Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference
Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), pages: 1690, MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (proceedings)
ei
Collobert, R., Sinz, F., Weston, J., Bottou, L.
Trading Convexity for Scalability
In Large Scale Kernel Machines, pages: 275-300, Neural Information Processing, (Editors: Bottou, L. , O. Chapelle, D. DeCoste, J. Weston), MIT Press, Cambridge, MA, USA, September 2007 (inbook)
ei
Kulis, B., Sra, S., Jegelka, S.
Scalable Semidefinite Programming using Convex Perturbations
(TR-07-47), University of Texas, Austin, TX, USA, September 2007 (techreport)
ei
Habeck, M.
Bayesian methods for NMR structure determination
29th Annual Discussion Meeting: Magnetic Resonance in Biophysical Chemistry, September 2007 (talk)
ei
Hill, N., Lal, T., Tangermann, M., Hinterberger, T., Widman, G., Elger, C., Schölkopf, B., Birbaumer, N.
Classifying Event-Related Desynchronization in EEG, ECoG and MEG signals
In Toward Brain-Computer Interfacing, pages: 235-260, Neural Information Processing, (Editors: G Dornhege and J del R Millán and T Hinterberger and DJ McFarland and K-R Müller), MIT Press, Cambridge, MA, USA, September 2007 (inbook)
ei
Weston, J., Bakir, G., Bousquet, O., Mann, T., Noble, W., Schölkopf, B.
Joint Kernel Maps
In Predicting Structured Data, pages: 67-84, Advances in neural information processing systems, (Editors: GH Bakir and T Hofmann and B Schölkopf and AJ Smola and B Taskar and SVN Vishwanathan), MIT Press, Cambridge, MA, USA, September 2007 (inbook)
ei
Hinterberger, T., Nijboer, F., Kübler, A., Matuz, T., Furdea, A., Mochty, U., Jordan, M., Lal, T., Hill, J., Mellinger, J., Bensch, M., Tangermann, M., Widman, G., Elger, C., Rosenstiel, W., Schölkopf, B., Birbaumer, N.
Brain-Computer Interfaces for Communication in Paralysis: A Clinical Experimental Approach
In Toward Brain-Computer Interfacing, pages: 43-64, Neural Information Processing, (Editors: G. Dornhege and J del R Millán and T Hinterberger and DJ McFarland and K-R Müller), MIT Press, Cambridge, MA, USA, September 2007 (inbook)
ei
Walder, C., Kim, K., Schölkopf, B.
Sparse Multiscale Gaussian Process Regression
(162), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, August 2007 (techreport)
ei
Blaschko, M., Hofmann, T., Lampert, C.
Efficient Subwindow Search for Object Localization
(164), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, August 2007 (techreport)
ei
Wu, M.
Collaborative Filtering via Ensembles of Matrix Factorizations
KDD Cup and Workshop, August 2007 (talk)
ei
Hill, NJ.
Thinking Out Loud: Research and Development of Brain Computer Interfaces
Invited keynote talk at the Max Planck Society‘s PhDNet Workshop., July 2007 (talk)
ei
Wu, M.
Local Learning Algorithms for Transductive Classification, Clustering and Data Projection
Yahoo Inc., July 2007 (talk)
ei
Görür, D., Rasmussen, C.
Dirichlet Process Mixtures of Factor Analysers
Fifth Workshop on Bayesian Inference in Stochastic Processes (BSP5), June 2007 (talk)
ei
Hill, N., Raths, C.
New BCI approaches: Selective Attention to Auditory and Tactile Stimulus Streams
Invited talk at the PASCAL Workshop on Methods of Data Analysis in Computational Neuroscience and Brain Computer Interfaces, June 2007 (talk)
ei
Peters, J.
Towards Motor Skill Learning in Robotics
Interactive Robot Learning - RSS workshop, June 2007 (talk)