DEPARTMENTS

Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation


Research Groups

Autonomous Vision

Autonomous Learning

Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

Probabilistic Learning Group


Topics

Robot Learning

Conference Paper

2022

Autonomous Learning

Robotics

AI

Career

Award


Empirical Inference Article A Tutorial on Kernel Methods for Categorization Jäkel, F., Schölkopf, B., Wichmann, F. Journal of Mathematical Psychology, 51(6):343-358, December 2007 () PDF Web DOI BibTeX

Empirical Inference Article A Tutorial on Spectral Clustering von Luxburg, U. Statistics and Computing, 17(4):395-416, December 2007 () PDF PDF DOI BibTeX

Empirical Inference Article Accurate Splice site Prediction Using Support Vector Machines Sonnenburg, S., Schweikert, G., Philips, P., Behr, J., Rätsch, G. BMC Bioinformatics, 8(Supplement 10):1-16, December 2007 () PDF DOI BibTeX

Empirical Inference Talk An Automated Combination of Kernels for Predicting Protein Subcellular Localization Zien, A., Ong, C. NIPS 2007 Workshop on Machine Learning in Computational Biology, December 2007 () Web BibTeX

Empirical Inference Talk Machine Learning Algorithms for Polymorphism Detection Schweikert, G., Zeller, G., Weigel, D., Schölkopf, B., Rätsch, G. NIPS 2007 Workshop on Machine Learning in Computational Biology, December 2007 () Web BibTeX

Empirical Inference Talk Positional Oligomer Importance Matrices Sonnenburg, S., Zien, A., Philips, P., Rätsch, G. NIPS 2007 Workshop on Machine Learning in Computational Biology, December 2007 () Web BibTeX

Empirical Inference Talk Reaction graph kernels for discovering missing enzymes in the plant secondary metabolism Saigo, H., Hattori, M., Tsuda, K. NIPS 2007 Workshop on Machine Learning in Computational Biology, December 2007 () Web BibTeX

Empirical Inference Talk Challenges in Brain-Computer Interface Development: Induction, Measurement, Decoding, Integration Hill, N. Invited keynote talk at the launch of BrainGain, the Dutch BCI research consortium, November 2007 () BibTeX

Empirical Inference Poster A time/frequency decomposition of information transmission by LFPs and spikes in the primary visual cortex Belitski, A., Gretton, A., Magri, C., Murayama, Y., Montemurro, M., Logothetis, N., Panzeri, S. 37th Annual Meeting of the Society for Neuroscience (Neuroscience 2007), 37:1, November 2007 () Web BibTeX

Empirical Inference Poster Estimating receptive fields without spike-triggering Macke, J., Zeck, G., Bethge, M. 37th annual Meeting of the Society for Neuroscience (Neuroscience 2007), 37(768.1):1, November 2007 () Web BibTeX

Empirical Inference Poster Evaluation of Deformable Registration Methods for MR-CT Atlas Alignment Scheel, V., Hofmann, M., Rehfeld, N., Judenhofer, M., Claussen, C., Pichler, B. 2007 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2007), 2007(M13-121):1, November 2007 () PDF BibTeX

Empirical Inference Poster MR-Based PET Attenuation Correction: Method and Validation Hofmann, M., Steinke, F., Scheel, V., Charpiat, G., Brady, M., Schölkopf, B., Pichler, B. 2007 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2007), 2007(M16-6):1-2, November 2007 () PDF PDF BibTeX

Empirical Inference Poster Mining expression-dependent modules in the human interaction network Georgii, E., Dietmann, S., Uno, T., Pagel, P., Tsuda, K. BMC Bioinformatics, 8(Suppl. 8):S4, November 2007 () PDF DOI BibTeX

Empirical Inference Conference Paper Performance Stabilization and Improvement in Graph-based Semi-supervised Learning with Ensemble Method and Graph Sharpening Choi, I., Shin, H. In Proceedings of the Korean Data Mining Society Conference, Korean Data Mining Society Conference, :257-262, Korean Data Mining Society, Seoul, Korea, Korean Data Mining Society Conference, November 2007 () PDF BibTeX

Empirical Inference Talk Policy Learning for Robotics Peters, J. 14th International Conference on Neural Information Processing (ICONIP 2007), November 2007 () Web BibTeX

Empirical Inference Ph.D. Thesis Some Theoretical Aspects of Human Categorization Behavior: Similarity and Generalization Jäkel, F. Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, November 2007, passed with "ausgezeichnet", summa cum laude, published online () PDF BibTeX

Empirical Inference Thesis Statistical Learning Theory Approaches to Clustering Jegelka, S. Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, November 2007 () PDF BibTeX

Empirical Inference Conference Paper Towards compliant humanoids: an experimental assessment of suitable task space position/orientation controllers Nakanishi, J., Mistry, M., Peters, J., Schaal, S. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2007), IROS 2007, 2007:2520-2527, (Editors: Grant, E. , T. C. Henderson), IEEE Service Center, Piscataway, NJ, USA, IEEE/RSJ International Conference on Intelligent Robots and Systems, November 2007 () PDF Web DOI BibTeX

Empirical Inference Conference Paper A Hilbert Space Embedding for Distributions Smola, A., Gretton, A., Song, L., Schölkopf, B. In Algorithmic Learning Theory: 18th International Conference (ALT 2007), Algorithmic Learning Theory, Lecture Notes in Computer Science 4754 , :13-31, (Editors: M Hutter and RA Servedio and E Takimoto), Springer, Berlin, Germany, 18th International Conference on Algorithmic Learning Theory (ALT 2007), October 2007 () PDF PDF DOI BibTeX

Empirical Inference Poster A Hilbert Space Embedding for Distributions Smola, A., Gretton, A., Song, L., Schölkopf, B. Proceedings of the 10th International Conference on Discovery Science (DS 2007), 10:40-41, October 2007 () PDF PDF DOI BibTeX

Empirical Inference Article A unifying framework for robot control with redundant DOFs Peters, J., Mistry, M., Udwadia, F., Nakanishi, J., Schaal, S. Autonomous Robots, 24(1):1-12, October 2007 () PDF PDF DOI BibTeX

Empirical Inference Conference Paper Cluster Identification in Nearest-Neighbor Graphs Maier, M., Hein, M., von Luxburg, U. In Algorithmic Learning Theory: Proceedings of the 18th International Confererence (ALT 2007), ALT 2007, :196-210, (Editors: Hutter, M. , R. A. Servedio, E. Takimoto), Springer, Berlin, Germany, 18th International Conference on Algorithmic Learning Theory, October 2007 () PDF PDF DOI BibTeX

Empirical Inference Conference Paper Discriminative Subsequence Mining for Action Classification Nowozin, S., BakIr, G., Tsuda, K. In Proceedings of the 11th IEEE International Conference on Computer Vision (ICCV 2007), ICCV 2007, :1919-1923, IEEE Computer Society, Los Alamitos, CA, USA, 11th IEEE International Conference on Computer Vision, October 2007 () PDF Web DOI BibTeX

Empirical Inference Talk Hilbert Space Representations of Probability Distributions Gretton, A. 2nd Workshop on Machine Learning and Optimization at the ISM, October 2007 () PDF Web BibTeX

Empirical Inference Talk Regression with Intervals Kashima, H., Yamazaki, K., Saigo, H., Inokuchi, A. International Workshop on Data-Mining and Statistical Science (DMSS2007), October 2007, JSAI Incentive Award. Talk was given by Hisashi Kashima. () Web BibTeX

Empirical Inference Article Some observations on the masking effects of Mach bands Curnow, T., Cowie, D., Henning, G., Hill, N. Journal of the Optical Society of America A, 24(10):3233-3241, October 2007 () PDF Web DOI BibTeX

Empirical Inference Article The Need for Open Source Software in Machine Learning Sonnenburg, S., Braun, M., Ong, C., Bengio, S., Bottou, L., Holmes, G., LeCun, Y., Müller, K., Pereira, F., Rasmussen, C., et al. Journal of Machine Learning Research, 8:2443-2466, October 2007 () PDF Web BibTeX

Empirical Inference Conference Paper A Kernel Method for the Two-Sample-Problem Gretton, A., Borgwardt, K., Rasch, M., Schölkopf, B., Smola, A. In Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference, Advances in Neural Information Processing Systems 19, :513-520, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS 2006), September 2007 () PDF Web BibTeX

Empirical Inference Conference Paper A Local Learning Approach for Clustering Wu, M., Schölkopf, B. In Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference, Advances in Neural Information Processing Systems 19, :1529-1536, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS 2006), September 2007 () PDF Web BibTeX

Empirical Inference Conference Paper A Nonparametric Approach to Bottom-Up Visual Saliency Kienzle, W., Wichmann, F., Schölkopf, B., Franz, M. In Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference, Advances in Neural Information Processing Systems 19, :689-696, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS 2006), September 2007 () PDF Web BibTeX

Empirical Inference Proceedings Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference Schölkopf, B., Platt, J., Hofmann, T. Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), :1690, MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS 2006), September 2007 () Web BibTeX

Empirical Inference Conference Paper An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models Keerthi, S., Sindhwani, V., Chapelle, O. In Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference, Advances in Neural Information Processing Systems 19, :673-680, (Editors: Schölkopf, B. , J. Platt, T. Hofmann), MIT Press, Cambridge, MA, USA, Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), September 2007 () PDF Web BibTeX

Empirical Inference Book Chapter Approximation Methods for Gaussian Process Regression Quiñonero-Candela, J., Rasmussen, C., Williams, C. In Large-Scale Kernel Machines, :203-223, Neural Information Processing, (Editors: Bottou, L. , O. Chapelle, D. DeCoste, J. Weston), MIT Press, Cambridge, MA, USA, September 2007 () PDF Web BibTeX

Empirical Inference Conference Paper Bayesian Inference for Sparse Generalized Linear Models Seeger, M., Gerwinn, S., Bethge, M. In Machine Learning: ECML 2007, ECML 2007, :298-309, Lecture Notes in Computer Science ; 4701, (Editors: Kok, J. N., J. Koronacki, R. Lopez de Mantaras, S. Matwin, D. Mladenic, A. Skowron), Springer, Berlin, Germany, 18th European Conference on Machine Learning, September 2007 () PDF DOI BibTeX

Empirical Inference Talk Bayesian methods for NMR structure determination Habeck, M. 29th Annual Discussion Meeting: Magnetic Resonance in Biophysical Chemistry, September 2007 () Web BibTeX

Empirical Inference Book Chapter Brain-Computer Interfaces for Communication in Paralysis: A Clinical Experimental Approach Hinterberger, T., Nijboer, F., Kübler, A., Matuz, T., Furdea, A., Mochty, U., Jordan, M., Lal, T., Hill, J., Mellinger, J., et al. In Toward Brain-Computer Interfacing, :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 () PDF Web BibTeX

Empirical Inference Conference Paper Branch and Bound for Semi-Supervised Support Vector Machines Chapelle, O., Sindhwani, V., Keerthi, S. In Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference, Advances in Neural Information Processing Systems 19, :217-224, (Editors: Schölkopf, B. , J. Platt, T. Hofmann), MIT Press, Cambridge, MA, USA, Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), September 2007 () PDF Web BibTeX

Empirical Inference Book Chapter Brisk Kernel ICA Jegelka, S., Gretton, A. In Large Scale Kernel Machines, :225-250, Neural Information Processing, (Editors: Bottou, L. , O. Chapelle, D. DeCoste, J. Weston), MIT Press, Cambridge, MA, USA, September 2007 () PDF Web BibTeX

Empirical Inference Book Chapter Classifying Event-Related Desynchronization in EEG, ECoG and MEG signals Hill, N., Lal, T., Tangermann, M., Hinterberger, T., Widman, G., Elger, C., Schölkopf, B., Birbaumer, N. In Toward Brain-Computer Interfacing, :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 () PDF Web BibTeX

Empirical Inference Conference Paper Correcting Sample Selection Bias by Unlabeled Data Huang, J., Smola, A., Gretton, A., Borgwardt, K., Schölkopf, B. In Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference, Advances in Neural Information Processing Systems 19, :601-608, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS 2006), September 2007 () PDF Web BibTeX

Empirical Inference Conference Paper Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods Seeger, M. In Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference, Advances in Neural Information Processing Systems 19, :1233-1240, (Editors: Schölkopf, B. , J. Platt, T. Hofmann), MIT Press, Cambridge, MA, USA, Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), September 2007 () PDF Web BibTeX

Empirical Inference Conference Paper How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye movements Kienzle, W., Schölkopf, B., Wichmann, F., Franz, M. In Pattern Recognition: 29th DAGM Symposium, Pattern Recognition, :405-414, (Editors: FA Hamprecht and C Schnörr and B Jähne), Springer, Berlin, Germany, 29th Annual Symposium of the German Association for Pattern Recognition (DAGM 2007), September 2007 () PDF Web DOI BibTeX

Empirical Inference Conference Paper Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions Walder, C., Schölkopf, B., Chapelle, O. In Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference, Advances in Neural Information Processing Systems 19, :273-280, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS 2006), September 2007 () PDF Web BibTeX

Empirical Inference Conference Paper Inducing Metric Violations in Human Similarity Judgements Laub, J., Macke, J., Müller, K., Wichmann, F. In Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference, Advances in Neural Information Processing Systems 19, :777-784, (Editors: Schölkopf, B. , J. Platt, T. Hofmann), MIT Press, Cambridge, MA, USA, Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), September 2007 () PDF Web BibTeX

Empirical Inference Conference Paper Information Bottleneck for Non Co-Occurrence Data Seldin, Y., Slonim, N., Tishby, N. In In Advances in Neural Information Processing Systems 19, 2007 (NIPS 2006), Advances in Neural Information Processing Systems 19, :1241-1248, (Editors: Schölkopf, B. , J. Platt, T. Hofmann), MIT Press, Cambridge, MA, USA, Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), September 2007 () PDF Web BibTeX

Empirical Inference Book Chapter Joint Kernel Maps Weston, J., Bakir, G., Bousquet, O., Mann, T., Noble, W., Schölkopf, B. In Predicting Structured Data, :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 () Web BibTeX

Empirical Inference Conference Paper Learning Dense 3D Correspondence Steinke, F., Schölkopf, B., Blanz, V. In Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference, Advances in Neural Information Processing Systems 19, :1313-1320, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS 2006), September 2007 () PDF Web BibTeX

Empirical Inference Conference Paper Learning with Hypergraphs: Clustering, Classification, and Embedding Zhou, D., Huang, J., Schölkopf, B. In Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference, Advances in Neural Information Processing Systems 19, :1601-1608, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS 2006), September 2007 () PDF Web BibTeX