Publications

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 Conference Paper Linear Combinations of Optic Flow Vectors for Estimating Self-Motion: a Real-World Test of a Neural Model Franz, M., Chahl, J. In Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems 15, :1319-1326, (Editors: Becker, S., S. Thrun and K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), October 2003 () PDF Web BibTeX

Empirical Inference Conference Paper Mismatch String Kernels for SVM Protein Classification Leslie, C., Eskin, E., Weston, J., Noble, W. In Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems 15, :1417-1424, (Editors: Becker, S. , S. Thrun, K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), October 2003 () PDF Web BibTeX

Empirical Inference Conference Paper On the Complexity of Learning the Kernel Matrix Bousquet, O., Herrmann, D. In Advances in Neural Information Processing Systems, 15, Advances in Neural Information Processing Systems 15, :399-406, (Editors: Becker, S. , S. Thrun, K. Obermayer), The MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), October 2003 () PDF Web BibTeX

Empirical Inference Thesis Real-Time Face Detection Kienzle, W. Biologische Kybernetik, Eberhard-Karls-Universitaet Tuebingen, Tuebingen, Germany, October 2003 () BibTeX

Empirical Inference Conference Paper Adaptive, Cautious, Predictive control with Gaussian Process Priors Murray-Smith, R., Sbarbaro, D., Rasmussen, C., Girard, A. In Proceedings of the 13th IFAC Symposium on System Identification, :1195-1200, (Editors: Van den Hof, P., B. Wahlberg and S. Weiland), Proceedings of the 13th IFAC Symposium on System Identification, August 2003 () PDF BibTeX

Empirical Inference Conference Paper Marginalized Kernels between Labeled Graphs Kashima, H., Tsuda, K., Inokuchi, A. In 20th International Conference on Machine Learning, :321-328, (Editors: Faucett, T. and N. Mishra), 20th International Conference on Machine Learning, August 2003 () PDF BibTeX

Empirical Inference Talk Remarks on Statistical Learning Theory Bousquet, O. Machine Learning Summer School, August 2003 () PDF BibTeX

Empirical Inference Conference Paper Sparse Gaussian Processes: inference, subspace identification and model selection Csato, L., Opper, M. In Proceedings, :1-6, (Editors: Van der Hof, , Wahlberg), The Netherlands, 13th IFAC Symposium on System Identifiaction, August 2003, electronical version; Index ThA02-2 () PDF GZIP BibTeX

Empirical Inference Talk Statistical Learning Theory Bousquet, O. Machine Learning Summer School, August 2003 () PDF BibTeX

Empirical Inference Conference Paper On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics Ilg, W., Bakir, G., Mezger, J., Giese, M. In Humanoids Proceedings, :0-0, Humanoids Proceedings, July 2003, electronical version () PDF BibTeX

Empirical Inference Article Dealing with large Diagonals in Kernel Matrices Weston, J., Schölkopf, B., Eskin, E., Leslie, C., Noble, W. Annals of the Institute of Statistical Mathematics, 55(2):391-408, June 2003 () PDF DOI BibTeX

Empirical Inference Technical Report Implicit Wiener Series Franz, M., Schölkopf, B. (114), Max Planck Institute for Biological Cybernetics, June 2003 () PDF BibTeX

Empirical Inference Technical Report Kernel Hebbian Algorithm for Iterative Kernel Principal Component Analysis Kim, K., Franz, M., Schölkopf, B. (109), MPI f. biologische Kybernetik, Tuebingen, June 2003 () PDF BibTeX

Empirical Inference Technical Report Learning with Local and Global Consistency Zhou, D., Bousquet, O., Lal, T., Weston, J., Schölkopf, B. (112), Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, June 2003 () BibTeX

Empirical Inference Technical Report Machine Learning approaches to protein ranking: discriminative, semi-supervised, scalable algorithms Weston, J., Leslie, C., Elisseeff, A., Noble, W. (111), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, June 2003 () PDF BibTeX

Empirical Inference Technical Report Ranking on Data Manifolds Zhou, D., Weston, J., Gretton, A., Bousquet, O., Schölkopf, B. (113), Max Planck Institute for Biological Cybernetics, 72076 Tuebingen, Germany, June 2003 () PDF BibTeX

Empirical Inference Article Constructing Descriptive and Discriminative Non-linear Features: Rayleigh Coefficients in Kernel Feature Spaces Mika, S., Rätsch, G., Weston, J., Schölkopf, B., Smola, A., Müller, K. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(5):623-628, May 2003 () DOI BibTeX

Empirical Inference Technical Report The Geometry Of Kernel Canonical Correlation Analysis Kuss, M., Graepel, T. (108), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, May 2003 () PDF BibTeX

Empirical Inference Article The em Algorithm for Kernel Matrix Completion with Auxiliary Data Tsuda, K., Akaho, S., Asai, K. Journal of Machine Learning Research, 4:67-81, May 2003 () PDF BibTeX

Empirical Inference Conference Paper A case based comparison of identification with neural network and Gaussian process models. Kocijan, J., Banko, B., Likar, B., Girard, A., Murray-Smith, R., Rasmussen, C. In Proceedings of the International Conference on Intelligent Control Systems and Signal Processing ICONS 2003, 1:137-142, (Editors: Ruano, E.A.), Proceedings of the International Conference on Intelligent Control Systems and Signal Processing ICONS, April 2003 () PDF BibTeX

Empirical Inference Article Feature selection and transduction for prediction of molecular bioactivity for drug design Weston, J., Perez-Cruz, F., Bousquet, O., Chapelle, O., Elisseeff, A., Schölkopf, B. Bioinformatics, 19(6):764-771, April 2003 () Web BibTeX

Empirical Inference Conference Paper On-Line One-Class Support Vector Machines. An Application to Signal Segmentation Gretton, A., Desobry, .. In IEEE ICASSP Vol. 2, IEEE ICASSP Vol. 2, :709-712, IEEE ICASSP, April 2003 () PostScript BibTeX

Empirical Inference Conference Paper The Kernel Mutual Information Gretton, A., Herbrich, R., Smola, A. In IEEE ICASSP Vol. 4, :880-883, IEEE ICASSP, April 2003 () PostScript BibTeX

Empirical Inference Technical Report The Kernel Mutual Information Gretton, A., Herbrich, R., Smola, A. Max Planck Institute for Biological Cybernetics, April 2003 () PostScript BibTeX

Empirical Inference Article Tractable Inference for Probabilistic Data Models Csato, L., Opper, M., Winther, O. Complexity, 8(4):64-68, April 2003 () PDF GZIP Web BibTeX

Empirical Inference Talk Rademacher and Gaussian averages in Learning Theory Bousquet, O. Universite de Marne-la-Vallee, March 2003 () PDF BibTeX

Empirical Inference Talk Statistical Learning Theory Bousquet, O., Schölkopf, B. March 2003 () PDF BibTeX

Empirical Inference Article Use of the Zero-Norm with Linear Models and Kernel Methods Weston, J., Elisseeff, A., Schölkopf, B., Tipping, M. Journal of Machine Learning Research, 3:1439-1461, March 2003 () PDF PostScript PDF BibTeX

Empirical Inference Poster A Representation of Complex Movement Sequences Based on Hierarchical Spatio-Temporal Correspondence for Imitation Learning in Robotics Ilg, W., Bakir, G., Franz, M., Giese, M. 6:74, (Editors: H.H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann), 6. T{\"u}binger Wahrnehmungskonferenz (TWK 2003), February 2003 () PDF Web BibTeX

Empirical Inference Poster Constraints measures and reproduction of style in robot imitation learning Bakir, G., Ilg, W., Franz, M., Giese, M. 6:70, (Editors: H.H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann), 6. T{\"u}binger Wahrnehmungskonferenz (TWK 2003), February 2003 () PDF Web BibTeX

Empirical Inference Talk Introduction: Robots with Cognition? Franz, M. 6:38, (Editors: H.H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann), 6. T{\"u}binger Wahrnehmungskonferenz (TWK 2003), February 2003 () Web BibTeX

Empirical Inference Poster Phase Information and the Recognition of Natural Images Braun, D., Wichmann, F., Gegenfurtner, K. 6:138, (Editors: H.H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann), 6. T{\"u}binger Wahrnehmungskonferenz (TWK 2003), February 2003 () Web BibTeX

Empirical Inference Poster Study of Human Classification using Psychophysics and Machine Learning Graf, A., Wichmann, F., Bülthoff, H., Schölkopf, B. 6:149, (Editors: H.H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann), 6. T{\"u}binger Wahrnehmungskonferenz (TWK 2003), February 2003 () PDF Web BibTeX

Empirical Inference Conference Paper Hierarchical Spatio-Temporal Morphable Models for Representation of complex movements for Imitation Learning Ilg, W., Bakir, G., Franz, M., Giese, M. In 11th International Conference on Advanced Robotics, (2):453-458, (Editors: Nunes, U., A. de Almeida, A. Bejczy, K. Kosuge and J.A.T. Machado), 11th International Conference on Advanced Robotics, January 2003 () PDF BibTeX

Empirical Inference Technical Report A Note on Parameter Tuning for On-Line Shifting Algorithms Bousquet, O. Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2003 () PDF PostScript BibTeX

Empirical Inference Book Chapter A Short Introduction to Learning with Kernels Schölkopf, B., Smola, A. In Proceedings of the Machine Learning Summer School, Lecture Notes in Artificial Intelligence, Vol. 2600, :41-64, LNAI 2600, (Editors: S Mendelson and AJ Smola), Springer, Berlin, Heidelberg, Germany, 2003 () BibTeX

Empirical Inference Book Chapter An Introduction to Support Vector Machines Schölkopf, B. In Recent Advances and Trends in Nonparametric Statistics , :3-17, (Editors: MG Akritas and DN Politis), Elsevier, Amsterdam, The Netherlands, 2003 () Web DOI BibTeX

Empirical Inference Article An Introduction to Variable and Feature Selection. Guyon, I., Elisseeff, A. Journal of Machine Learning, 3:1157-1182, 2003 () BibTeX

Empirical Inference Book Chapter Bayesian Kernel Methods Smola, A., Schölkopf, B. In Advanced Lectures on Machine Learning, Machine Learning Summer School 2002, Lecture Notes in Computer Science, Vol. 2600, LNAI 2600:65-117, 0, (Editors: S Mendelson and AJ Smola), Springer, Berlin, Germany, 2003 () DOI BibTeX

Empirical Inference Conference Paper Distance-based classification with Lipschitz functions von Luxburg, U., Bousquet, O. In Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory, :314-328, (Editors: Schölkopf, B. and M.K. Warmuth), Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory, 2003 () PDF PostScript BibTeX

Empirical Inference Book Chapter Extension of the nu-SVM range for classification Perez-Cruz, F., Weston, J., Herrmann, D., Schölkopf, B. In Advances in Learning Theory: Methods, Models and Applications, NATO Science Series III: Computer and Systems Sciences, Vol. 190, 190:179-196, NATO Science Series III: Computer and Systems Sciences, (Editors: J Suykens and G Horvath and S Basu and C Micchelli and J Vandewalle), IOS Press, Amsterdam, 2003 () BibTeX

Empirical Inference Conference Paper Feature Selection for Support Vector Machines by Means of Genetic Algorithms Fröhlich, H., Chapelle, O., Schölkopf, B. In 15th IEEE International Conference on Tools with AI, :142-148, 15th IEEE International Conference on Tools with AI, 2003 () BibTeX

Empirical Inference Technical Report Interactive Images Toyama, K., Schölkopf, B. (MSR-TR-2003-64), Microsoft Research, Cambridge, UK, 2003 () Web BibTeX

Empirical Inference Conference Paper Kernel Methods and Their Applications to Signal Processing Bousquet, O., Perez-Cruz, F. In IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP ‘03), Proceedings. (ICASSP ‘03), Special Session on Kernel Methods:860 , ICASSP, 2003 () PDF PostScript BibTeX

Empirical Inference Article New Approaches to Statistical Learning Theory Bousquet, O. Annals of the Institute of Statistical Mathematics, 55(2):371-389, 2003 () PostScript BibTeX

Empirical Inference Conference Paper Predictive control with Gaussian process models Kocijan, J., Murray-Smith, R., Rasmussen, C., Likar, B. In Proceedings of IEEE Region 8 Eurocon 2003: Computer as a Tool, :352-356, (Editors: Zajc, B. and M. Tkal), Proceedings of IEEE Region 8 Eurocon 2003: Computer as a Tool, 2003 () PDF PostScript BibTeX

Empirical Inference Conference Paper Propagation of Uncertainty in Bayesian Kernel Models - Application to Multiple-Step Ahead Forecasting Quiñonero-Candela, J., Girard, A., Larsen, J., Rasmussen, C. In IEEE International Conference on Acoustics, Speech and Signal Processing, 2:701-704, IEEE International Conference on Acoustics, Speech and Signal Processing, 2003 () PDF PostScript BibTeX