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Zhou Ye, G. Z. L. M. S.
Method and device for reversibly attaching a phase changing metal to an object
US Patent Application US 2018/0021892 A1, January 2018 (patent)
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Guo Zhan Lum, Z. Y. M. S.
Method of fabricating a shape-changeable magentic member, method of producing a shape changeable magnetic member and shape changeable magnetic member
US Patent Application US 2018/0012693 A1, January 2018 (patent)
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Ma, L., Stueckler, J., Wu, T., Cremers, D.
Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform
arxiv, 2018, arXiv:1808.01834 (techreport)
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Keriven, N., Garreau, D., Poli, I.
NEWMA: a new method for scalable model-free online change-point detection
2018 (techreport)
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Ihler, A. T., Janzing, D.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence (UAI)
pages: 869, AUAI Press, June 2016 (proceedings)
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Sitti, M., Yim, S.
System and method to magnetically actuate a capsule endoscopic robot for diagnosis and treatment
May 2016, US Patent 9,445,711 (patent)
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Sitti, M., Diller, E., Miyashita, S.
Remotely addressable magnetic composite micro-actuators
Febuary 2016, US Patent App. 15/018,008 (patent)
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Sitti, M., Diller, E., Miyashita, S.
Remotely addressable magnetic composite micro-actuators
Febuary 2016, US Patent 9,281,112 (patent)
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Ebner, S., Trimpe, S.
Supplemental material for ’Communication Rate Analysis for Event-based State Estimation’
Max Planck Institute for Intelligent Systems, January 2016 (techreport)
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Jeong, H. H., Lee, T. C., Fischer, P.
Method for encapsulating a nanostructure, coated nanostructure and use of a coated nanostructure
Google Patents, 2016, WO Patent App. PCT/EP2016/056,377 (patent)
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Walder, C., Chapelle, O.
Learning with Transformation Invariant Kernels
(165), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, September 2007 (techreport)
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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)
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Kulis, B., Sra, S., Jegelka, S.
Scalable Semidefinite Programming using Convex Perturbations
(TR-07-47), University of Texas, Austin, TX, USA, September 2007 (techreport)
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Walder, C., Kim, K., Schölkopf, B.
Sparse Multiscale Gaussian Process Regression
(162), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, August 2007 (techreport)
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Blaschko, M., Hofmann, T., Lampert, C.
Efficient Subwindow Search for Object Localization
(164), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, August 2007 (techreport)
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Maier, M., Hein, M., von Luxburg, U.
Cluster Identification in Nearest-Neighbor Graphs
(163), Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, May 2007 (techreport)
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Chiappa, S., Barber, D.
Dirichlet Mixtures of Bayesian Linear Gaussian State-Space Models: a Variational Approach
(161), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, March 2007 (techreport)
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Breuer, P., Kim, K., Kienzle, W., Blanz, V., Schölkopf, B.
Automatic 3D Face Reconstruction from Single Images or Video
(160), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, February 2007 (techreport)
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Peters, J.
Relative Entropy Policy Search
CLMC Technical Report: TR-CLMC-2007-2, Computational Learning and Motor Control Lab, Los Angeles, CA, 2007, clmc (techreport)
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Ting, J., Theodorou, E., Schaal, S.
Learning an Outlier-Robust Kalman Filter
CLMC Technical Report: TR-CLMC-2007-1, Los Angeles, CA, 2007, clmc (techreport)
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Sinz, F., Schölkopf, B.
Minimal Logical Constraint Covering Sets
(155), Max Planck Institute for Biological Cybernetics, Tübingen, December 2006 (techreport)
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Biessmann, F.
New Methods for the P300 Visual Speller
(1), (Editors: Hill, J. ), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2006 (techreport)
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Shen, H., Jegelka, S., Gretton, A.
Geometric Analysis of Hilbert Schmidt Independence criterion based ICA contrast function
(PA006080), National ICT Australia, Canberra, Australia, October 2006 (techreport)
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von Luxburg, U.
A tutorial on spectral clustering
(149), Max Planck Institute for Biological Cybernetics, Tübingen, August 2006 (techreport)
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Zien, A., Raetsch, G., Ong, C.
Towards the Inference of Graphs on Ordered Vertexes
(150), Max Planck Institute for Biological Cybernetics, Tübingen, August 2006 (techreport)
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Hofmann, M., Schölkopf, B., Steinke, F., Pichler, B.
MR/PET Attenuation Correction
Max-Planck-Gesellschaft, Biologische Kybernetik, July 2006 (patent)
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Weiss, Y., Schölkopf, B., Platt, J.
Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference
Proceedings of the 19th Annual Conference on Neural Information Processing Systems (NIPS 2005), pages: 1676, MIT Press, Cambridge, MA, USA, 19th Annual Conference on Neural Information Processing Systems (NIPS), May 2006 (proceedings)
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Zien, A., Ong, C.
An Automated Combination of Sequence Motif Kernels for Predicting Protein Subcellular Localization
(146), Max Planck Institute for Biological Cybernetics, Tübingen, April 2006 (techreport)
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Chapelle, O.
Training a Support Vector Machine in the Primal
(147), Max Planck Institute for Biological Cybernetics, Tübingen, April 2006, The version in the "Large Scale Kernel Machines" book is more up to date. (techreport)
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Seeger, M., Chapelle, O.
Cross-Validation Optimization for Structured Hessian Kernel Methods
Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, February 2006 (techreport)
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Quinonero Candela, J., Dagan, I., Magnini, B., Lauria, F.
Machine Learning Challenges: evaluating predictive uncertainty, visual object classification and recognising textual entailment
Proceedings of the First Pascal Machine Learning Challenges Workshop on Machine Learning Challenges, Evaluating Predictive Uncertainty, Visual Object Classification and Recognizing Textual Entailment (MLCW 2005), pages: 462, Lecture Notes in Computer Science, Springer, Heidelberg, Germany, First Pascal Machine Learning Challenges Workshop (MLCW), 2006 (proceedings)
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Theodorou, E.
Statistical Learning of LQG controllers
Technical Report-2006-1, Computational Action and Vision Lab University of Minnesota, 2006, clmc (techreport)