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Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation


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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

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Empirical Inference Conference Paper Finding dependencies between frequencies with the kernel cross-spectral density Besserve, M., Janzing, D., Logothetis, N., Schölkopf, B. In :2080-2083 , IEEE, Piscataway, NJ, USA, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011) , May 2011 () Web DOI BibTeX

Empirical Inference Conference Paper Fronto-Parietal Gamma-Oscillations are a Cause of Performance Variation in Brain-Computer Interfacing Grosse-Wentrup, M. In :384-387, IEEE, Piscataway, NJ, USA, 5th International IEEE/EMBS Conference on Neural Engineering (NER 2011) , May 2011 () PDF Web DOI BibTeX

Empirical Inference Article Incremental online sparsification for model learning in real-time robot control Nguyen-Tuong, D., Peters, J. Neurocomputing, 74(11):1859-1867, May 2011 () PDF DOI BibTeX

Empirical Inference Technical Report Non-stationary Correction of Optical Aberrations Schuler, C., Hirsch, M., Harmeling, S., Schölkopf, B. (1), Max Planck Institute for Intelligent Systems, Tübingen, Germany, May 2011 () PDF BibTeX

Empirical Inference Technical Report PAC-Bayesian Analysis of Martingales and Multiarmed Bandits Seldin, Y., Laviolette, F., Shawe-Taylor, J., Peters, J., Auer, P. Max Planck Institute for Biological Cybernetics, Tübingen, Germany, May 2011 () PDF Web BibTeX

Empirical Inference Book Chapter Statistical Learning Theory: Models, Concepts, and Results von Luxburg, U., Schölkopf, B. In Handbook of the History of Logic, Vol. 10: Inductive Logic, 10:651-706, (Editors: Gabbay, D. M., Hartmann, S. and Woods, J. H.), Elsevier North Holland, Amsterdam, Netherlands, May 2011 () PDF Web DOI BibTeX

Empirical Inference Article The effect of patient positioning aids on PET quantification in PET/MR imaging Mantlik, F., Hofmann, M., Werner, M., Sauter, A., Kupferschläger, J., Schölkopf, B., Pichler, B., Beyer, T. European Journal of Nuclear Medicine and Molecular Imaging, 38(5):920-929, May 2011 () PDF DOI BibTeX

Empirical Inference Conference Paper Trajectory Planning for Optimal Robot Catching in Real-Time Lampariello, R., Nguyen-Tuong, D., Castellini, C., Hirzinger, G., Peters, J. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2011), :3719-3726 , IEEE, Piscataway, NJ, USA, IEEE International Conference on Robotics and Automation (ICRA 2011), May 2011 () PDF Web DOI BibTeX

Empirical Inference Article Transition from the locked in to the completely locked-in state: A physiological analysis Ramos Murguialday, A., Hill, J., Bensch, M., Martens, S., Halder, S., Nijboer, F., Schölkopf, B., Birbaumer, N., Gharabaghi, A. Clinical Neurophysiology, 122(5):925-933 , May 2011 () PDF DOI BibTeX

Empirical Inference Conference Paper Active Exploration for Robot Parameter Selection in Episodic Reinforcement Learning Kroemer, O., Peters, J. In Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2011), :25-31, IEEE, Piscataway, NJ, USA, IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2011), April 2011 () PDF Web DOI BibTeX

Empirical Inference Article Critical issues in state-of-the-art brain–computer interface signal processing Krusienski, D., Grosse-Wentrup, M., Galan, F., Coyle, D., Miller, K., Forney, E., Anderson, C. Journal of Neural Engineering, 8(2):1-8, April 2011 () PDF DOI BibTeX

Empirical Inference Article EPIBLASTER-fast exhaustive two-locus epistasis detection strategy using graphical processing units Kam-Thong, T., Czamara, D., Tsuda, K., Borgwardt, K., Lewis, C., Erhardt-Lehmann, A., Hemmer, B., Rieckmann, P., Daake, M., Weber, F., et al. European Journal of Human Genetics, 19(4):465-471, April 2011 () PDF PDF DOI BibTeX

Empirical Inference Conference Paper Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference Seeger, M., Nickisch, H. In JMLR Workshop and Conference Proceedings Volume 15: AISTATS 2011, :652-660, (Editors: Gordon, G. , D. Dunson, M. Dudík ), MIT Press, Cambridge, MA, USA, 14th International Conference on Artificial Intelligence and Statistics, April 2011 () PDF Web BibTeX

Empirical Inference Article Model learning for robot control: a survey Nguyen-Tuong, D., Peters, J. Cognitive Processing, 12(4):319-340, April 2011 () PDF PDF DOI BibTeX

Empirical Inference Conference Paper Relative Entropy Inverse Reinforcement Learning Boularias, A., Kober, J., Peters, J. In JMLR Workshop and Conference Proceedings Volume 15: AISTATS 2011, :182-189, (Editors: Gordon, G. , D. Dunson, M. Dudík ), MIT Press, Cambridge, MA, USA, Fourteenth International Conference on Artificial Intelligence and Statistics, April 2011 () PDF Web BibTeX

Empirical Inference Conference Paper Removing noise from astronomical images using a pixel-specific noise model Burger, H., Schölkopf, B., Harmeling, S. In :8, (Editors: H Lensch and SL Narasimhan and ME Testorf), IEEE, Piscataway, NJ, USA, IEEE International Conference on Computational Photography (ICCP 2011), April 2011 () Web DOI BibTeX

Empirical Inference Article Using brain–computer interfaces to induce neural plasticity and restore function Grosse-Wentrup, M., Mattia, D., Oweiss, K. Journal of Neural Engineering, 8(2):1-5, April 2011 () PDF DOI BibTeX

Empirical Inference Article A Blind Deconvolution Approach for Improving the Resolution of Cryo-EM Density Maps Hirsch, M., Schölkopf, B., Habeck, M. Journal of Computational Biology, 18(3):335-346, March 2011 () Web DOI BibTeX

Empirical Inference Article Batch-Mode Active-Learning Methods for the Interactive Classification of Remote Sensing Images Demir, B., Persello, C., Bruzzone, L. IEEE Transactions on Geoscience and Remote Sensing, 49(3):1014-1031, March 2011 () Web DOI BibTeX

Empirical Inference Article Combining computational modeling with sparse and low-resolution data Habeck, M., Nilges, M. Journal of Structural Biology, 173(3):419, March 2011 () PDF DOI BibTeX

Empirical Inference Talk Cooperative Cuts Jegelka, S. COSA Workshop: Combinatorial Optimization, Statistics, and Applications, March 2011 () Web BibTeX

Empirical Inference Article Dynamics of excitable neural networks with heterogeneous connectivity Chavez, M., Besserve, M., Le Van Quyen, M. Progress in Biophysics and Molecular Biology, 105(1-2):29-33, March 2011 () PDF DOI BibTeX

Empirical Inference Article Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models Seeger, M., Nickisch, H. SIAM Journal on Imaging Sciences, 4(1):166-199, March 2011 () Web DOI BibTeX

Empirical Inference Article Learning grasp affordance densities Detry, R., Kraft, D., Kroemer, O., Peters, J., Krüger, N., Piater, J. Paladyn: Journal of Behavioral Robotics, 2(1):1-17, March 2011 () PDF DOI BibTeX

Empirical Inference Technical Report Multiple Kernel Learning: A Unifying Probabilistic Viewpoint Nickisch, H., Seeger, M. Max Planck Institute for Biological Cybernetics, March 2011 () Web BibTeX

Empirical Inference Article Statistical mechanics analysis of sparse data Habeck, M. Journal of Structural Biology, 173(3):541-548, March 2011 () PDF DOI BibTeX

Empirical Inference Article Client–Server Multitask Learning From Distributed Datasets Dinuzzo, F., Pillonetto, G., De Nicolao, G. IEEE Transactions on Neural Networks, 22(2):290-303, February 2011 () DOI BibTeX

Empirical Inference Article Learning Visual Representations for Perception-Action Systems Piater, J., Jodogne, S., Detry, R., Kraft, D., Krüger, N., Kroemer, O., Peters, J. International Journal of Robotics Research, 30(3):294-307, February 2011 () PDF Web DOI BibTeX

Empirical Inference Article Multi-way set enumeration in weight tensors Georgii, E., Tsuda, K., Schölkopf, B. Machine Learning, 82(2):123-155, February 2011 () PDF DOI BibTeX

Empirical Inference Article A graphical model framework for decoding in the visual ERP-based BCI speller Martens, S., Mooij, J., Hill, N., Farquhar, J., Schölkopf, B. Neural Computation, 23(1):160-182, January 2011 () Web DOI BibTeX

Empirical Inference Article Effect of Control Parameters and Haptic Cues on Human Perception for Remote Operations Son, H., Bhattacharjee, T., Jung, H., Lee, D. Experimental Brain Research, January 2011, Submitted (Submitted) BibTeX

Empirical Inference Article Joint Genetic Analysis of Gene Expression Data with Inferred Cellular Phenotypes Parts, L., Stegle, O., Winn, J., Durbin, R. PLoS Genetics, 7(1):1-10, January 2011 () Web DOI BibTeX

Empirical Inference Conference Paper Learning Visual Representations for Interactive Systems Piater, J., Jodogne, S., Detry, R., Kraft, D., Krüger, N., Kroemer, O., Peters, J. In Proceedings of the 14th International Symposium on Robotics Research (ISRR 2009), Robotics Research, :399-416, (Editors: Pradalier, C. , R. Siegwart, G. Hirzinger), Springer, Berlin, Germany, 14th International Symposium on Robotics Research (ISRR 2009), January 2011 () PDF Web DOI BibTeX

Empirical Inference Technical Report Multiple testing, uncertainty and realistic pictures Langovoy, M., Wittich, O. (2011-004), EURANDOM, Technische Universiteit Eindhoven, January 2011 () PDF BibTeX

Empirical Inference Book Chapter Robot Learning Peters, J., Tedrake, R., Roy, N., Morimoto, J. In Encyclopedia of Machine Learning, :865-869, Encyclopedia of machine learning, (Editors: Sammut, C. and Webb, G. I.), Springer, New York, NY, USA, January 2011 () PDF Web DOI BibTeX

Empirical Inference Article Robust Control of Teleoperation Systems Interacting with Viscoelastic Soft Tissues Cho, J., Son, H., Bhattacharjee, T., Lee, D., Lee, D. IEEE Transactions on Control Systems Technology, January 2011, In revision (In revision) BibTeX

Empirical Inference Conference Paper Towards Motor Skill Learning for Robotics Peters, J., Mülling, K., Kober, J., Nguyen-Tuong, D., Kroemer, O. In Proceedings of the 14th International Symposium on Robotics Research (ISRR 2009), Robotics Research, :469-482, (Editors: Pradalier, C. , R. Siegwart, G. Hirzinger), Springer, Berlin, Germany, 14th International Symposium on Robotics Research (ISRR 2009), January 2011 () PDF Web DOI BibTeX

Empirical Inference Conference Paper A Non-Parametric Approach to Dynamic Programming Kroemer, O., Peters, J. In Advances in Neural Information Processing Systems 24, :1719-1727, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), 2011 () PDF Web BibTeX

Empirical Inference Conference Paper Additive Gaussian Processes Duvenaud, D., Nickisch, H., Rasmussen, C. In Advances in Neural Information Processing Systems 24, :226-234, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), 2011 () PDF Web BibTeX

Empirical Inference Book Chapter Cue Combination: Beyond Optimality Rosas, P., Wichmann, F. In Sensory Cue Integration, :144-152, (Editors: Trommershäuser, J., Körding, K. and Landy, M. S.), Oxford University Press, 2011 () BibTeX

Empirical Inference Conference Paper Denoising sparse noise via online dictionary learning Cherian, A., Sra, S., Papanikolopoulos, N. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, :2060 -2063, IEEE, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), 2011 () DOI BibTeX

Empirical Inference Conference Paper Efficient Similarity Search for Covariance Matrices via the Jensen-Bregman LogDet Divergence Cherian, A., Sra, S., Banerjee, A., Papanikolopoulos, N. In IEEE International Conference on Computer Vision, ICCV 2011, :2399-2406, (Editors: DN Metaxas and L Quan and A Sanfeliu and LJ Van Gool), IEEE, 13th International Conference on Computer Vision (ICCV 2011), 2011 () DOI BibTeX

Empirical Inference Conference Paper Efficient inference in matrix-variate Gaussian models with iid observation noise Stegle, O., Lippert, C., Mooij, J., Lawrence, N., Borgwardt, K. In Advances in Neural Information Processing Systems 24, :630-638, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), 2011 () PDF Web BibTeX

Empirical Inference Conference Paper Expectation Propagation for the Estimation of Conditional Bivariate Copulas Hernandez-Lobato, J., Lopez-Paz, D., Gharhamani, Z. In :2, NIPS 2011, Workshop on Copulas in Machine Learning, 2011 () PDF BibTeX

Empirical Inference Conference Paper Fast Newton-type Methods for Total-Variation with Applications Barbero, A., Sra, S. In Proceedings of the 28th International Conference on Machine Learning, ICML 2011, :313-320, (Editors: L Getoor and T Scheffer), Omnipress, 28th International Conference on Machine Learning (ICML 2011), 2011 () BibTeX

Empirical Inference Conference Paper Fast projections onto L1,q-norm balls for grouped feature selection Sra, S. In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, LNCS vol 6913, Part III, :305-317, (Editors: D Gunopulos and T Hofmann and D Malerba and M Vazirgiannis), Springer, 22th European Conference on Machine Learning (ECML 2011), 2011 () DOI BibTeX