Institute Homepage
Institute Homepage DE Sign In

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 Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity Hyvärinen, A., Zhang, K., Shimizu, S., Hoyer, P. Journal of Machine Learning Research, 11:1709-1731, May 2010 PDF Web BibTeX
Empirical Inference Technical Report Generalized Proximity and Projection with Norms and Mixed-norms Sra, S. (192), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, May 2010 PDF BibTeX
Empirical Inference Conference Paper Identifying Cause and Effect on Discrete Data using Additive Noise Models Peters, J., Janzing, D., Schölkopf, B. In Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010), JMLR Workshop and Conference Proceedings Volume 9: AISTATS 2010, 597-604, (Editors: YW Teh and M Titterington), JMLR, Cambridge, MA, USA, 13th International Conference on Artificial Intelligence and Statistics, May 2010 PDF Web BibTeX
Empirical Inference Conference Paper Incremental Sparsification for Real-time Online Model Learning Nguyen-Tuong, D., Peters, J. In Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010), JMLR Workshop and Conference Proceedings Volume 9: AISTATS 2010, 557-564, (Editors: Teh, Y.W. , M. Titterington), JMLR, Cambridge, MA, USA, Thirteenth International Conference on Artificial Intelligence and Statistics, May 2010 PDF Web BibTeX
Empirical Inference Conference Paper Movement Templates for Learning of Hitting and Batting Kober, J., Mülling, K., Krömer, O., Lampert, C., Schölkopf, B., Peters, J. In Proceedings of the 2010 IEEE International Conference on Robotics and Automation (ICRA 2010), 853-858, IEEE, Piscataway, NJ, USA, 2010 IEEE International Conference on Robotics and Automation (ICRA 2010), May 2010 PDF Web DOI BibTeX
Empirical Inference Conference Paper Multitask Learning for Brain-Computer Interfaces Alamgir, M., Grosse-Wentrup, M., Altun, Y. In Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010), JMLR Workshop and Conference Proceedings Volume 9: AISTATS 2010, 17-24, (Editors: Teh, Y.W. , M. Titterington), JMLR, Cambridge, MA, USA, Thirteenth International Conference on Artificial Intelligence and Statistics , May 2010 PDF Web BibTeX
Empirical Inference Article Parameter-exploring policy gradients Sehnke, F., Osendorfer, C., Rückstiess, T., Graves, A., Peters, J., Schmidhuber, J. Neural Networks, 21(4):551-559, May 2010 PDF PDF DOI BibTeX
Empirical Inference Conference Paper Semi-supervised Learning via Generalized Maximum Entropy Erkan, A., Altun, Y. In Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010), JMLR Workshop and Conference Proceedings Volume 9: AISTATS 2010, 209-216, (Editors: Teh, Y.W. , M. Titterington), JMLR, Cambridge, MA, USA, Thirteenth International Conference on Artificial Intelligence and Statistics , May 2010 PDF Web BibTeX
Empirical Inference Article Statistical Tests for Detecting Differential RNA-Transcript Expression from Read Counts Stegle, O., Drewe, P., Bohnert, R., Borgwardt, K., Rätsch, G. Nature Precedings, 2010:1-11, May 2010 PDF DOI BibTeX
Empirical Inference Article Temporal Kernel CCA and its Application in Multimodal Neuronal Data Analysis Biessmann, F., Meinecke, F., Gretton, A., Rauch, A., Rainer, G., Logothetis, N., Müller, K. Machine Learning, 79(1-2):5-27, May 2010 PDF PDF DOI BibTeX
Empirical Inference Conference Paper Using Model Knowledge for Learning Inverse Dynamics Nguyen-Tuong, D., Peters, J. In Proceedings of the 2010 IEEE International Conference on Robotics and Automation (ICRA 2010), 2677-2682, IEEE, Piscataway, NJ, USA, 2010 IEEE International Conference on Robotics and Automation (ICRA 2010), May 2010 PDF Web DOI BibTeX
Empirical Inference Article Animal detection in natural scenes: Critical features revisited Wichmann, F., Drewes, J., Rosas, P., Gegenfurtner, K. Journal of Vision, 10(4):1-27, April 2010 Web DOI BibTeX
Empirical Inference Article A generative model approach for decoding in the visual event-related potential-based brain-computer interface speller Martens, S., Leiva, J. Journal of Neural Engineering, 7(2):1-10, April 2010 PDF PDF DOI BibTeX
Empirical Inference Article Gene function prediction from synthetic lethality networks via ranking on demand Lippert, C., Ghahramani, Z., Borgwardt, K. Bioinformatics, 26(7):912-918, April 2010 Web DOI BibTeX
Empirical Inference Article Graph Kernels Vishwanathan, S., Schraudolph, N., Kondor, R., Borgwardt, K. Journal of Machine Learning Research, 11:1201-1242, April 2010 PDF Web BibTeX
Empirical Inference Article Hilbert Space Embeddings and Metrics on Probability Measures Sriperumbudur, B., Gretton, A., Fukumizu, K., Schölkopf, B., Lanckriet, G. Journal of Machine Learning Research, 11:1517-1561, April 2010 PDF BibTeX
Empirical Inference Poster Solving large-scale nonnegative least squares using an adaptive non-monotonic method Sra, S., Kim, D., Dhillon, I. 24th European Conference on Operational Research (EURO 2010), 24:223, April 2010 PDF BibTeX
Empirical Inference Poster Sparse regression via a trust-region proximal method Kim, D., Sra, S., Dhillon, I. 24th European Conference on Operational Research (EURO 2010), 24:278, April 2010 PDF BibTeX
Empirical Inference Talk Machine-Learning Methods for Decoding Intentional Brain States Hill, N. Symposium "Non-Invasive Brain Computer Interfaces: Current Developments and Applications" (BIOMAG 2010), March 2010 PDF Web BibTeX
Empirical Inference Article A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Images Persello, C., Bruzzone, L. IEEE Transactions on Geoscience and Remote Sensing, 48(3):1232-1244, March 2010 Web DOI BibTeX
Empirical Inference Article A toolbox for predicting G-quadruplex formation and stability Wong, H., Stegle, O., Rodgers, S., Huppert, J. Journal of Nucleic Acids, 2010(564946):1-6, March 2010 PDF DOI BibTeX
Empirical Inference Technical Report Cooperative Cuts: Graph Cuts with Submodular Edge Weights Jegelka, S., Bilmes, J. (189), Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, March 2010 PDF BibTeX
Empirical Inference Conference Paper Experiments with Motor Primitives to learn Table Tennis Peters, J., Mülling, K., Kober, J. In Proceedings of the 12th International Symposium on Experimental Robotics (ISER 2010), Experimental Robotics, 1-13, (Editors: Khatib, O. , V. Kumar, G. Sukhatme), Springer, Berlin, Germany, 12th International Symposium on Experimental Robotics (ISER 2010), March 2010 Web BibTeX
Empirical Inference Article On the Entropy Production of Time Series with Unidirectional Linearity Janzing, D. Journal of Statistical Physics, 138(4-5):767-779, March 2010 PDF DOI BibTeX
Empirical Inference Talk PAC-Bayesian Analysis in Unsupervised Learning Seldin, Y. Foundations and New Trends of PAC Bayesian Learning Workshop, March 2010 PDF Web BibTeX
Empirical Inference Poster PAC-Bayesian Bounds for Discrete Density Estimation and Co-clustering Analysis Seldin, Y., Tishby, N. Workshop "Foundations and New Trends of PAC Bayesian Learning", 2010, March 2010 PDF Web BibTeX
Empirical Inference Thesis Quantitative Evaluation of MR-based Attenuation Correction for Positron Emission Tomography (PET) Mantlik, F. Biologische Kybernetik, Universität Mannheim, Germany, March 2010 BibTeX
Empirical Inference Article Bayesian Online Multitask Learning of Gaussian Processes Pillonetto, G., Dinuzzo, F., De Nicolao, G. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(2):193-205, February 2010 DOI BibTeX
Empirical Inference Conference Paper Causality: Objectives and Assessment Guyon, I., Janzing, D., Schölkopf, B. In JMLR Workshop and Conference Proceedings: Volume 6 , 1-42, (Editors: I Guyon and D Janzing and B Schölkopf), MIT Press, Cambridge, MA, USA, Causality: Objectives and Assessment (NIPS 2008 Workshop) , February 2010 Web BibTeX
Empirical Inference Article Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning Morimura, T., Uchibe, E., Yoshimoto, J., Peters, J., Doya, K. Neural Computation, 22(2):342-376, February 2010 PDF Web DOI BibTeX
Empirical Inference Proceedings JMLR Workshop and Conference Proceedings: Volume 6 Guyon, I., Janzing, D., Schölkopf, B. 288, MIT Press, Cambridge, MA, USA, Causality: Objectives and Assessment (NIPS 2008 Workshop) , February 2010 Web BibTeX
Empirical Inference Talk Learning Motor Primitives for Robotics Kober, J., Peters, J. EVENT Lab: Reinforcement Learning in Robotics and Virtual Reality, January 2010 BibTeX
Empirical Inference Book From Motor Learning to Interaction Learning in Robots Sigaud, O., Peters, J. 538, Studies in Computational Intelligence ; 264, (Editors: O Sigaud, J Peters), Springer, Berlin, Germany, January 2010 Web DOI BibTeX
Empirical Inference Book Chapter From Motor Learning to Interaction Learning in Robots Sigaud, O., Peters, J. In From Motor Learning to Interaction Learning in Robots, 1-12, Studies in Computational Intelligence ; 264, (Editors: Sigaud, O. and Peters, J.), Springer, Berlin, Germany, January 2010 Web DOI BibTeX
Empirical Inference Book Chapter Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling Kober, J., Mohler, B., Peters, J. In From Motor Learning to Interaction Learning in Robots, 209-225, Studies in Computational Intelligence ; 264, (Editors: Sigaud, O. and Peters, J.), Springer, Berlin, Germany, January 2010 PDF Web DOI BibTeX
Empirical Inference Book Chapter Learning Continuous Grasp Affordances by Sensorimotor Exploration Detry, R., Baseski, E., Popovic, M., Touati, Y., Krüger, N., Kroemer, O., Peters, J., Piater, J. In From Motor Learning to Interaction Learning in Robots, 451-465, Studies in Computational Intelligence ; 264, (Editors: Sigaud, O. and Peters, J.), Springer, Berlin, Germany, January 2010 PDF Web DOI BibTeX
Empirical Inference Article Optimization of k-Space Trajectories for Compressed Sensing by Bayesian Experimental Design Seeger, M., Nickisch, H., Pohmann, R., Schölkopf, B. Magnetic Resonance in Medicine, 63(1):116-126, January 2010 Web DOI BibTeX
Empirical Inference Book Chapter Real-Time Local GP Model Learning Nguyen-Tuong, D., Seeger, M., Peters, J. In From Motor Learning to Interaction Learning in Robots, 264:193-207, Studies in Computational Intelligence, (Editors: Sigaud, O. and Peters, J.), Springer, Berlin, Germany, January 2010 PDF Web DOI BibTeX
Empirical Inference Article The semigroup approach to transport processes in networks Dorn, B., Fijavz, M., Nagel, R., Radl, A. Physica D: Nonlinear Phenomena, 239(15):1416-1421, January 2010 Web DOI BibTeX
Autonomous Motion Article A Bayesian approach to nonlinear parameter identification for rigid-body dynamics Ting, J., DSouza, A., Schaal, S. Neural Networks, 2010, clmc URL BibTeX
Autonomous Motion Article A first optimal control solution for a complex, nonlinear, tendon driven neuromuscular finger model Theodorou, E. A., Todorov, E., Valero-Cuevas, F. Proceedings of the ASME 2010 Summer Bioengineering Conference August 30-September 2, 2010, Naples, Florida, USA, 2010, clmc PDF BibTeX
Theory of Inhomogeneous Condensed Matter Article A fluorescence correlation spectroscopy study of macromolecular tracer diffusion in polymer solutions Zettl, U., Ballauff, M., Harnau, L. Journal of Physics: Condensed Matter, 22, 2010 DOI BibTeX
Autonomous Motion Conference Paper A highly integrated low pressure fluid servo-valve for applications in wearable robotic systems Folgheraiter, M., Jordan, M., Vaca Benitez, L. M., Grimminger, F., Schmidt, S., Albiez, J., Kirchner, F. In ICINCO 2010 - Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics, 2:72-78, 2010 BibTeX
Empirical Inference Ph.D. Thesis A wider view on encoding and decoding in the visual brain-computer interface speller system Martens, S. Eberhard Karls Universität Tübingen, Germany, 2010 BibTeX
Empirical Inference Ph.D. Thesis Accurate Prediction of Protein-Coding Genes with Discriminative Learning Techniques Schweikert, G. Technische Universität Berlin, Germany, 2010 BibTeX
Physical Intelligence Conference Paper Adhesion recovery and passive peeling in a wall climbing robot using adhesives Kute, C., Murphy, M. P., Mengüç, Y., Sitti, M. In Robotics and Automation (ICRA), 2010 IEEE International Conference on, 2797-2802, 2010 BibTeX
Physical Intelligence Article An experimental analysis of elliptical adhesive contact Sümer, B., Onal, C. D., Aksak, B., Sitti, M. Journal of Applied Physics, 107(11):113512, AIP, 2010 BibTeX
Theory of Inhomogeneous Condensed Matter Article Anomalous transport resolved in space and time by fluorescence correlation spectroscopy Höfling, F., Bamberg, K. U., Franosch, T. Soft Matter, 7(4):1358-1363, 2010 DOI BibTeX
Empirical Inference Book Chapter Approaches Based on Support Vector Machine to Classification of Remote Sensing Data Bruzzone, L., Persello, C. In Handbook of Pattern Recognition and Computer Vision, 329-352, (Editors: Chen, C.H.), ICP, London, UK, 2010 Web BibTeX
Autonomous Motion Conference Paper Are reaching movements planned in kinematic or dynamic coordinates? Ellmer, A., Schaal, S. In Abstracts of Neural Control of Movement Conference (NCM 2010), Naples, Florida, 2010, 2010, clmc BibTeX