Publications

Empirical Inference Probabilistic Numerics Conference Paper Fast Probabilistic Optimization from Noisy Gradients Hennig, P. In Proceedings of The 30th International Conference on Machine Learning, JMLR W&CP 28(1), :62–70, (Editors: S Dasgupta and D McAllester), ICML, 2013 () PDF BibTeX

Empirical Inference Conference Paper Feedback Error Learning for Rhythmic Motor Primitives Gopalan, N., Deisenroth, M., Peters, J. In Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA 2013), :1317-1322, 2013 () PDF DOI BibTeX

Empirical Inference Article Finding Potential Support Vectors in Separable Classification Problems Varagnolo, D., Del Favero, S., Dinuzzo, F., Schenato, L., Pillonetto, G. IEEE Transactions on Neural Networks and Learning Systems, 24(11):1799-1813, 2013 () DOI BibTeX

Empirical Inference Article Fragmentation of Slow Wave Sleep after Onset of Complete Locked-In State Soekadar, S. R., Born, J., Birbaumer, N., Bensch, M., Halder, S., Murguialday, A. R., Gharabaghi, A., Nijboer, F., Schölkopf, B., Martens, S. Journal of Clinical Sleep Medicine, 9(9):951-953, 2013 (Published) DOI BibTeX

Empirical Inference Conference Paper From Ordinary Differential Equations to Structural Causal Models: the deterministic case Mooij, J., Janzing, D., Schölkopf, B. In Proceedings of the Twenty-Ninth Conference Annual Conference on Uncertainty in Artificial Intelligence, :440-448, (Editors: A Nicholson and P Smyth), AUAI Press, Corvallis, Oregon, UAI, 2013 () PDF BibTeX

Empirical Inference Conference Paper Gaussian Process Vine Copulas for Multivariate Dependence Lopez-Paz, D., Hernandez-Lobato, J., Ghahramani, Z. In Proceedings of the 30th International Conference on Machine Learning, W&CP 28(2), :10-18, (Editors: S Dasgupta and D McAllester), JMLR, ICML, 2013, Poster: http://people.tuebingen.mpg.de/dlopez/papers/icml2013_gpvine_poster.pdf () PDF Web BibTeX

Empirical Inference Poster Gaussian Process Vine Copulas for Multivariate Dependence Lopez-Paz, D., Hernandez-Lobato, J., Ghahramani, Z. International Conference on Machine Learning (ICML 2013), 2013 (Published) PDF BibTeX

Empirical Inference Conference Paper Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry Feragen, A., Petersen, J., Grimm, D., Dirksen, A., Pedersen, J., Borgwardt, K., de Bruijne, M. In Information Processing in Medical Imaging, :171-183, (Editors: JC Gee and S Joshi and KM Pohl and WM Wells and L Zöllei), Springer, Berlin Heidelberg, 23rd International Conference on Information Processing in Medical Imaging (IPMI 2013), 2013, Lecture Notes in Computer Science, Vol. 7017 () DOI BibTeX

Empirical Inference Conference Paper Geometric optimisation on positive definite matrices for elliptically contoured distributions Sra, S., Hosseini, R. In Advances in Neural Information Processing Systems 26, :2562-2570, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS 2013), 2013 (Published) PDF BibTeX

Empirical Inference Article HiFiVE: A Hilbert Space Embedding of Fiber Variability Estimates for Uncertainty Modeling and Visualization Schultz, T., Schlaffke, L., Schölkopf, B., Schmidt-Wilcke, T. Computer Graphics Forum, 32(3):121-130, (Editors: B Preim, P Rheingans, and H Theisel), Blackwell Publishing, Oxford, UK, Eurographics Conference on Visualization (EuroVis), 2013 () DOI BibTeX

Empirical Inference Conference Paper How to Test the Quality of Reconstructed Sources in Independent Component Analysis (ICA) of EEG/MEG Data Grosse-Wentrup, M., Harmeling, S., Zander, T., Hill, J., Schölkopf, B. In Proceedings of the 3rd International Workshop on Pattern Recognition in NeuroImaging (PRNI), :102-105, IEEE Xplore Digital Library, PRNI, 2013 () PDF DOI BibTeX

Empirical Inference Article Identification of stimulus cues in narrow-band tone-in-noise detection using sparse observer models Schönfelder, V., Wichmann, F. Journal of the Acoustical Society of America, 134(1):447-463, 2013 () DOI BibTeX

Empirical Inference Conference Paper Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders Sgouritsa, E., Janzing, D., Peters, J., Schölkopf, B. In Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI), :556-565, (Editors: A Nicholson and P Smyth), AUAI Press Corvallis, Oregon, USA, UAI, 2013 () PDF BibTeX

Empirical Inference Article Imaging Findings and Therapy Response Monitoring in Chronic Sclerodermatous Graft-Versus-Host Disease: Preliminary Data of a Simultaneous PET/MRI Approach Sauter, A., Schmidt, H., Mantlik, F., Kolb, A., Federmann, B., Pfannenberg, C., Reimold, M., Pichler, B., Bethge, W., Horger, M. Clinical Nuclear Medicine, 38(8):e309-e317, 2013 () Web BibTeX

Empirical Inference Conference Paper Improving alpha matting and motion blurred foreground estimation Köhler, R., Hirsch, M., Schölkopf, B., Harmeling, S. In IEEE Conference on Image Processing (ICIP), :3446-3450, IEEE, ICIP, 2013 () PDF DOI BibTeX

Empirical Inference Conference Paper Information-Theoretic Motor Skill Learning Neumann, G., Kupcsik, A., Deisenroth, M., Peters, J. In Proceedings of the 27th AAAI 2013, Workshop on Intelligent Robotic Systems (AAAI 2013), 2013 () BibTeX

Empirical Inference Ph.D. Thesis Intention Inference and Decision Making with Hierarchical Gaussian Process Dynamics Models Wang, Z. Technical University Darmstadt, Germany, 2013 () BibTeX

Empirical Inference Article Interactive Domain Adaptation for the Classification of Remote Sensing Images using Active Learning Persello, C. IEEE Geoscience and Remote Sensing Letters, 10(4):736-740, 2013 (Published) DOI BibTeX

Empirical Inference Conference Paper It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals Rakitsch, B., Lippert, C., Borgwardt, K., Stegle, O. In Advances in Neural Information Processing Systems 26, :1466-1474, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS 2013), 2013 () PDF BibTeX

Empirical Inference Conference Paper Learning Sequential Motor Tasks Daniel, C., Neumann, G., Peters, J. In Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA 2013), 2013 () PDF BibTeX

Empirical Inference Conference Paper Learning Skills with Motor Primitives Peters, J., Kober, J., Mülling, K., Kroemer, O., Neumann, G. In Proceedings of the 16th Yale Workshop on Adaptive and Learning Systems, 2013 () BibTeX

Empirical Inference Article Learning output kernels for multi-task problems Dinuzzo, F. Neurocomputing, 118:119-126, 2013 () DOI BibTeX

Empirical Inference Conference Paper Learning responsive robot behavior by imitation Ben Amor, H., Vogt, D., Ewerton, M., Berger, E., Jung, B., Peters, J. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013), :3257-3264, IEEE, 2013 (Published) DOI BibTeX

Empirical Inference Article Learning to Select and Generalize Striking Movements in Robot Table Tennis Mülling, K., Kober, J., Kroemer, O., Peters, J. International Journal of Robotics Research, 32(3):263-279, 2013 () PDF DOI BibTeX

Empirical Inference Ph.D. Thesis Linear mixed models for genome-wide association studies Lippert, C. University of Tübingen, Germany, 2013 () BibTeX

Empirical Inference Talk MR-Based Attenuation Correction for Combined Brain PET/MR: Robustness of Atlas- and Pattern Recognition Method to Atlas Registration Failures Mantlik, F., Bezrukov, I., Hofmann, M., Schölkopf, B., Pichler, B. IEEE Nuclear Science Symposium and Medical Imaging Conference (IEEE MIC 2013), 2013 (Published) BibTeX

Empirical Inference Article MR-based Attenuation Correction Methods for Improved PET Quantification in Lesions within Bone and Susceptibility Artifact Regions Bezrukov, I., Schmidt, H., Mantlik, F., Schwenzer, N., Brendle, C., Schölkopf, B., Pichler, B. Journal of Nuclear Medicine, 54(10):1768-1774, 2013 () Web DOI BibTeX

Empirical Inference Article MR-based PET Attenuation Correction for PET/MR Imaging Bezrukov, I., Mantlik, F., Schmidt, H., Schölkopf, B., Pichler, B. Seminars in Nuclear Medicine, 43(1):45-59, 2013 () DOI BibTeX

Empirical Inference Technical Report Maximizing Kepler science return per telemetered pixel: Detailed models of the focal plane in the two-wheel era Hogg, D. W., Angus, R., Barclay, T., Dawson, R., Fergus, R., Foreman-Mackey, D., Harmeling, S., Hirsch, M., Lang, D., Montet, B. T., et al. arXiv:1309.0653, 2013 (Published) URL BibTeX

Empirical Inference Technical Report Maximizing Kepler science return per telemetered pixel: Searching the habitable zones of the brightest stars Montet, B. T., Angus, R., Barclay, T., Dawson, R., Fergus, R., Foreman-Mackey, D., Harmeling, S., Hirsch, M., Hogg, D. W., Lang, D., et al. arXiv:1309.0654, 2013 (Published) URL BibTeX

Empirical Inference Conference Paper Measuring Statistical Dependence via the Mutual Information Dimension Sugiyama, M., Borgwardt, K. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), :1692-1698, (Editors: Francesca Rossi), AAAI Press, Menlo Park, California, IJCAI, 2013 () BibTeX

Empirical Inference Article Metabolic cost as an organizing principle for cooperative learning Balduzzi, D., Ortega, P., Besserve, M. Advances in Complex Systems, 16(02n03):1350012, 2013 () Web DOI BibTeX

Empirical Inference Conference Paper Model-based Imitation Learning by Probabilistic Trajectory Matching Englert, P., Paraschos, A., Peters, J., Deisenroth, M. In Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA 2013), :1922-1927, 2013 () PDF DOI BibTeX

Empirical Inference Conference Paper Modeling Information Propagation with Survival Theory Gomez Rodriguez, M., Leskovec, J., Schölkopf, B. In Proceedings of the 30th International Conference on Machine Learning, JMLR W&CP 28 (3), :666-674, (Editors: S Dasgupta and D McAllester), JMLR, ICML, 2013 () Web BibTeX

Empirical Inference Ph.D. Thesis Modeling and Learning Complex Motor Tasks: A case study on Robot Table Tennis Mülling, K. Technical University Darmstadt, Germany, 2013 () BibTeX

Empirical Inference Article Modeling fixation locations using spatial point processes Barthelmé, S., Trukenbrod, H., Engbert, R., Wichmann, F. Journal of Vision, 13(12):1-34, 2013 () Web DOI BibTeX

Empirical Inference Ph.D. Thesis Modelling and Learning Approaches to Image Denoising Burger, H. C. Eberhard Karls Universität Tübingen, Germany, 2013 () BibTeX

Empirical Inference Article Multimodal information improves the rapid detection of mental fatigue Laurent, F., Valderrama, M., Besserve, M., Guillard, M., Lachaux, J., Martinerie, J., Florence, G. Biomedical Signal Processing and Control, 8(4):400 - 408, 2013 () Web DOI BibTeX

Empirical Inference Conference Paper Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method Chen, Z., Zhang, K., Chan, L. In 13th International Conference on Data Mining, :1003-1008, (Editors: H. Xiong, G. Karypis, B. M. Thuraisingham, D. J. Cook and X. Wu), IEEE Computer Society, ICDM, 2013 () DOI BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Nonparametric dynamics estimation for time periodic systems Klenske, E., Zeilinger, M., Schölkopf, B., Hennig, P. In Proceedings of the 51st Annual Allerton Conference on Communication, Control, and Computing, :486-493 , 2013 () PDF DOI BibTeX

Empirical Inference Conference Paper Object Modeling and Segmentation by Robot Interaction with Cluttered Environments van Hoof, H., Krömer, O., Peters, J. In Proceedings of the IEEE International Conference on Humanoid Robots (HUMANOIDS), :169-176, IEEE, 13th IEEE-RAS International Conference on Humanoid Robots, 2013 () DOI BibTeX

Empirical Inference Conference Paper On a link between kernel mean maps and Fraunhofer diffraction, with an application to super-resolution beyond the diffraction limit Harmeling, S., Hirsch, M., Schölkopf, B. In IEEE Conference on Computer Vision and Pattern Recognition, :1083-1090, IEEE, CVPR, 2013 (Published) DOI BibTeX

Empirical Inference Conference Paper On estimation of functional causal models: Post-nonlinear causal model as an example Zhang, K., Wang, Z., Schölkopf, B. In First IEEE ICDM workshop on causal discovery , 2013, Held in conjunction with the 12th IEEE International Conference on Data Mining (ICDM 2013) () PDF BibTeX

Empirical Inference Book Chapter On the Relations and Differences between Popper Dimension, Exclusion Dimension and VC-Dimension Seldin, Y., Schölkopf, B. In Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, :53-57, 6, (Editors: Schölkopf, B., Luo, Z. and Vovk, V.), Springer, 2013 (Published) BibTeX

Empirical Inference Conference Paper One-class Support Measure Machines for Group Anomaly Detection Muandet, K., Schölkopf, B. In Proceedings 29th Conference on Uncertainty in Artificial Intelligence (UAI), :449-458, (Editors: Ann Nicholson and Padhraic Smyth), AUAI Press, Corvallis, Oregon, UAI, 2013 () PDF BibTeX

Empirical Inference Poster One-class Support Measure Machines for Group Anomaly Detection Muandet, K., Schölkopf, B. 29th Conference on Uncertainty in Artificial Intelligence (UAI 2013), 2013 () PDF BibTeX

Empirical Inference Article Open-Box Spectral Clustering: Applications to Medical Image Analysis Schultz, T., Kindlmann, G. IEEE Transactions on Visualization and Computer Graphics, 19(12):2100-2108, 2013 () DOI BibTeX

Empirical Inference Conference Paper Output Kernel Learning Methods Dinuzzo, F., Ong, C., Fukumizu, K. In International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines: theory and applications, ROKS, 2013 () BibTeX

Empirical Inference Article Probabilistic Model-based Imitation Learning Englert, P., Paraschos, A., Peters, J., Deisenroth, M. Adaptive Behavior Journal, 21(5):388-403, 2013 () PDF DOI BibTeX

Empirical Inference Conference Paper Probabilistic Movement Primitives Paraschos, A., Daniel, C., Peters, J., Neumann, G. In Advances in Neural Information Processing Systems 26, :2616-2624, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS 2013), 2013 () PDF PDF BibTeX

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