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 Learning with Local and Global Consistency Zhou, D., Bousquet, O., Lal, T., Weston, J., Schölkopf, B. In Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems 16, 321-328, (Editors: S Thrun and LK Saul and B Schölkopf), MIT Press, Cambridge, MA, USA, 17th Annual Conference on Neural Information Processing Systems (NIPS 2003), June 2004 PDF Web BibTeX

Empirical Inference Conference Paper Measure Based Regularization Bousquet, O., Chapelle, O., Hein, M. In Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems 16, 1221-1228, (Editors: Thrun, S., L. Saul, B. Schölkopf), MIT Press, Cambridge, MA, USA, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), June 2004 PDF Web BibTeX

Empirical Inference Conference Paper PAC-Bayesian Generic Chaining Audibert, J., Bousquet, O. In Advances in Neural Information Processing Systems 16, Advances in Neural Information Processing Systems 16, 1125-1132 , (Editors: Thrun, S., L.K. Saul, B. Schölkopf), MIT Press, Cambridge, MA, USA, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), June 2004 PDF Web BibTeX

Empirical Inference Conference Paper Prediction on Spike Data Using Kernel Algorithms Eichhorn, J., Tolias, A., Zien, A., Kuss, M., Rasmussen, C., Weston, J., Logothetis, N., Schölkopf, B. In Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference, Advances in Neural Information Processing Systems 16, 1367-1374, (Editors: S Thrun and LK Saul and B Schölkopf), MIT Press, Cambridge, MA, USA, 17th Annual Conference on Neural Information Processing Systems (NIPS 2003), June 2004 PDF Web BibTeX

Empirical Inference Conference Paper Ranking on Data Manifolds Zhou, D., Weston, J., Gretton, A., Bousquet, O., Schölkopf, B. In Advances in Neural Information Processing Systems, Advances in neural information processing systems 16, 169-176, (Editors: S Thrun and L Saul and B Schölkopf), MIT Press, Cambridge, MA, USA, 17th Annual Conference on Neural Information Processing Systems (NIPS 2003), June 2004 PDF Web BibTeX

Empirical Inference Conference Paper Semi-Supervised Protein Classification using Cluster Kernels Weston, J., Leslie, C., Zhou, D., Elisseeff, A., Noble, W. In Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems 16, 595-602, (Editors: Thrun, S., L.K. Saul, B. Schölkopf), MIT Press, Cambridge, MA, USA, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), June 2004 PDF Web BibTeX

Empirical Inference Article Support Vector Channel Selection in BCI Lal, T., Schröder, M., Hinterberger, T., Weston, J., Bogdan, M., Birbaumer, N., Schölkopf, B. IEEE Transactions on Biomedical Engineering, 51(6):1003-1010, June 2004 DOI BibTeX

Empirical Inference Conference Paper Warped Gaussian Processes Snelson, E., Rasmussen, C., Ghahramani, Z. In Advances in Neural Information Processing Systems 16, Advances in Neural Information Processing Systems 16, 337-344, (Editors: Thrun, S., L.K. Saul, B. Schölkopf), MIT Press, Cambridge, MA, USA, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), June 2004 PDF Web BibTeX

Empirical Inference Book Chapter Distributed Command Execution Stark, S., Berlin, M. In BSD Hacks: 100 industrial-strength tips & tools, 152-152, (Editors: Lavigne, Dru), O’Reilly, Beijing, May 2004 BibTeX

Empirical Inference Conference Paper Kernel Hebbian Algorithm for single-frame super-resolution Kim, K., Franz, M., Schölkopf, B. In Statistical Learning in Computer Vision (SLCV 2004), Computer Vision - ECCV 2004, LNCS vol. 3024, 135-149, (Editors: A Leonardis and H Bischof), Springer, Berlin, Germany, 8th European Conference on Computer Vision (ECCV 2004), May 2004 PDF Web BibTeX

Empirical Inference Article A Compression Approach to Support Vector Model Selection von Luxburg, U., Bousquet, O., Schölkopf, B. Journal of Machine Learning Research, 5:293-323, April 2004 PDF BibTeX

Empirical Inference Article cDNA-Microarray Technology in Cartilage Research - Functional Genomics of Osteoarthritis [in German] Aigner, T., Finger, F., Zien, A., Bartnik, E. Zeitschrift f{\"u}r Orthop{\"a}die und ihre Grenzgebiete, 142(2):241-247, April 2004 BibTeX

Empirical Inference Poster EEG Channel Selection for Brain Computer Interface Systems Based on Support Vector Methods Schröder, M., Lal, T., Bogdan, M., Schölkopf, B. 7:50, (Editors: Bülthoff, H.H., H.A. Mallot, R. Ulrich and F.A. Wichmann), 7th T{\"u}bingen Perception Conference (TWK 2004), February 2004 Web BibTeX

Empirical Inference Poster Efficient Approximations for Support Vector Classiers Kienzle, W., Franz, M. 7:68, 7th T{\"u}bingen Perception Conference (TWK 2004), February 2004 Web BibTeX

Empirical Inference Poster Efficient Approximations for Support Vector Classifiers Kienzle, W., Franz, M. 7:68, 7th T{\"u}bingen Perception Conference (TWK 2004), February 2004 Web BibTeX

Empirical Inference Poster Human Classification Behaviour Revisited by Machine Learning Graf, A., Wichmann, F., Bülthoff, H., Schölkopf, B. 7:134, (Editors: Bülthoff, H.H., H.A. Mallot, R. Ulrich and F.A. Wichmann), 7th T{\"u}bingen Perception Conference (TWK 2004), February 2004 Web BibTeX

Empirical Inference Poster Learning Depth Sinz, F., Franz, M. 69, (Editors: H.H.Bülthoff, H.A.Mallot, R.Ulrich,F.A.Wichmann), 7th T{\"u}bingen Perception Conference (TWK 2004), February 2004 PDF Web BibTeX

Empirical Inference Poster Selective Attention to Auditory Stimuli: A Brain-Computer Interface Paradigm Hill, N., Lal, T., Schröder, M., Hinterberger, T., Birbaumer, N., Schölkopf, B. 7:102, (Editors: Bülthoff, H.H., H.A. Mallot, R. Ulrich and F.A. Wichmann), 7th T{\"u}bingen Perception Conference (TWK 2004), February 2004 PDF Web BibTeX

Empirical Inference Poster Texture and Haptic Cues in Slant Discrimination: Measuring the Effect of Texture Type Rosas, P., Wichmann, F., Ernst, M., Wagemans, J. 7:165, (Editors: Bülthoff, H. H., H. A. Mallot, R. Ulrich, F. A. Wichmann), 7th T{\"u}bingen Perception Conference (TWK 2004), February 2004 PDF Web BibTeX

Empirical Inference Poster m-Alternative-Forced-Choice: Improving the Efficiency of the Method of Constant Stimuli Jäkel, F., Hill, J., Wichmann, F. 7:118, 7th T{\"u}bingen Perception Conference (TWK 2004), February 2004 Web BibTeX

Empirical Inference Article Experimentally optimal v in support vector regression for different noise models and parameter settings Chalimourda, A., Schölkopf, B., Smola, A. Neural Networks, 17(1):127-141, January 2004 PDF DOI BibTeX

Empirical Inference Talk Introduction to Category Theory Bousquet, O. Internal Seminar, January 2004 PDF BibTeX

Empirical Inference Conference Paper A New Variational Framework for Rigid-Body Alignment Kato, T., Tsuda, K., Tomii, K., Asai, K. In Joint IAPR International Workshops on Syntactical and Structural Pattern Recognition (SSPR 2004) and Statistical Pattern Recognition (SPR 2004), 171-179, (Editors: Fred, A.,T. Caelli, R.P.W. Duin, A. Campilho and D. de Ridder), Joint IAPR International Workshops on Syntactical and Structural Pattern Recognition (SSPR 2004) and Statistical Pattern Recognition (SPR 2004), 2004 PDF BibTeX

Empirical Inference Book Chapter A Primer on Kernel Methods Vert, J., Tsuda, K., Schölkopf, B. In Kernel Methods in Computational Biology, 35-70, (Editors: B Schölkopf and K Tsuda and JP Vert), MIT Press, Cambridge, MA, USA, 2004 PDF BibTeX

Empirical Inference Conference Paper A Regularization Framework for Learningfrom Graph Data Zhou, D., Schölkopf, B. In ICML Workshop on Statistical Relational Learning and Its Connections to Other Fields, 132-137, ICML, 2004 PDF PostScript BibTeX

Empirical Inference Article A Tutorial on Support Vector Regression Smola, A., Schölkopf, B. Statistics and Computing, 14(3):199-222, 2004 Web BibTeX

Autonomous Motion Conference Paper A framework for learning biped locomotion with dynamic movement primitives Nakanishi, J., Morimoto, J., Endo, G., Cheng, G., Schaal, S., Kawato, M. In IEEE-RAS/RSJ International Conference on Humanoid Robots (Humanoids 2004), IEEE, Los Angeles, CA: Nov.10-12, Santa Monica, CA, 2004, clmc URL BibTeX

Empirical Inference Conference Paper A kernel view of the dimensionality reduction of manifolds Ham, J., Lee, D., Mika, S., Schölkopf, B. In Proceedings of the Twenty-First International Conference on Machine Learning, 369-376, (Editors: CE Brodley), ACM, New York, NY, USA, ICML, 2004, also appeared as MPI-TR 110 PDF BibTeX

Empirical Inference Book Chapter A primer on molecular biology Zien, A. In 3-34, (Editors: Schoelkopf, B., K. Tsuda and J. P. Vert), MIT Press, Cambridge, MA, USA, 2004 PDF PostScript Web BibTeX

Empirical Inference Talk Advanced Statistical Learning Theory Bousquet, O. Machine Learning Summer School, 2004 PDF BibTeX

Theory of Inhomogeneous Condensed Matter Article Anisotropic diffusion-limited aggregation Popescu, M. N., Hentschel, H. G. E., Family, F. Physical Review E, 69, 2004 BibTeX

Empirical Inference Article Asymptotic Properties of the Fisher Kernel Tsuda, K., Akaho, S., Kawanabe, M., Müller, K. Neural Computation, 16(1):115-137, 2004 PDF BibTeX

Physical Intelligence Conference Paper Augmented reality user interface for nanomanipulation using atomic force microscopes Vogl, W., Sitti, M., Ehrenstrasser, M., Zäh, M. In Proc. of Eurohaptics, 413-416, 2004 BibTeX

Empirical Inference Article Bayesian analysis of the Scatterometer Wind Retrieval Inverse Problem: Some New Approaches Cornford, D., Csato, L., Evans, D., Opper, M. Journal of the Royal Statistical Society B, 66:1-17, 3, 2004 PDF BibTeX

Empirical Inference Technical Report Behaviour and Convergence of the Constrained Covariance Gretton, A., Smola, A., Bousquet, O., Herbrich, R., Schölkopf, B., Logothetis, N. (130), MPI for Biological Cybernetics, 2004 PDF BibTeX

Theory of Inhomogeneous Condensed Matter Article Bulk and interfacial properties of binary hard-platelet fluids Bier, M., Harnau, L., Dietrich, S. Physical Review E, 69(2):021506, 2004 DOI BibTeX

Empirical Inference Ph.D. Thesis Classification and Feature Extraction in Man and Machine Graf, A. Biologische Kybernetik, University of Tübingen, Germany, 2004, online publication BibTeX

Empirical Inference Poster Classification and Memory Behaviour of Man Revisited by Machine Graf, A., Wichmann, F., Bülthoff, H., Schölkopf, B. CSHL Meeting on Computational & Systems Neuroscience (COSYNE), 2004 BibTeX

Empirical Inference Conference Paper Clustering Protein Sequence and Structure Space with Infinite Gaussian Mixture Models Dubey, A., Hwang, S., Rangel, C., Rasmussen, C., Ghahramani, Z., Wild, D. In Pacific Symposium on Biocomputing 2004; Vol. 9, 399-410, World Scientific Publishing, Singapore, Pacific Symposium on Biocomputing, 2004 PDF BibTeX

Theory of Inhomogeneous Condensed Matter Article Comment on "Dynamic behavior of anisotropic nonequilibrium driving lattice gases" Caracciolo, S., Gambassi, A., Gubinelli, M., Pelissetto, A. Physical Review Letters, 92, 2004 BibTeX

Autonomous Motion Book Chapter Computational approaches to motor learning by imitation Schaal, S., Ijspeert, A., Billard, A. In The Neuroscience of Social Interaction, (1431)199-218, (Editors: Frith, C. D.;Wolpert, D.), Oxford University Press, Oxford, 2004, clmc URL BibTeX

Empirical Inference Book Chapter Concentration Inequalities Boucheron, S., Lugosi, G., Bousquet, O. In Lecture Notes in Artificial Intelligence 3176:208-240, (Editors: Bousquet, O., U. von Luxburg and G. Rätsch), Springer, Heidelberg, Germany, 2004 PDF BibTeX