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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 Ph.D. Thesis Modeling the polygenic architecture of complex traits Rakitsch, B. Eberhard Karls Universität Tübingen, November 2014 () BibTeX

Perceiving Systems Empirical Inference Conference Paper Human Pose Estimation with Fields of Parts Kiefel, M., Gehler, P. In Computer Vision – ECCV 2014, LNCS 8693:331-346, Lecture Notes in Computer Science, (Editors: Fleet, David and Pajdla, Tomas and Schiele, Bernt and Tuytelaars, Tinne), Springer, 13th European Conference on Computer Vision, September 2014 () website pdf DOI BibTeX

Perceiving Systems Empirical Inference Probabilistic Numerics Conference Paper Probabilistic Progress Bars Kiefel, M., Schuler, C., Hennig, P. In Conference on Pattern Recognition (GCPR), 8753:331-341, Lecture Notes in Computer Science, (Editors: Jiang, X., Hornegger, J., and Koch, R.), Springer, GCPR, September 2014 () website+code pdf DOI BibTeX

Empirical Inference Conference Paper Seeing the Arrow of Time Pickup, L., Zheng, P., Donglai, W., YiChang, S., Changshui, Z., Zisserman, A., Schölkopf, B., Freeman, W. Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, :2043-2050, IEEE, CVPR, June 2014 (Published) DOI BibTeX

Perceiving Systems Empirical Inference Probabilistic Numerics Conference Paper Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics Hennig, P., Hauberg, S. In Proceedings of the 17th International Conference on Artificial Intelligence and Statistics, 33:347-355, JMLR: Workshop and Conference Proceedings, (Editors: S Kaski and J Corander), Microtome Publishing, Brookline, MA, AISTATS, April 2014 () pdf Youtube Supplements BibTeX

Empirical Inference Conference Paper A Visual Analytics Approach to Study Anatomic Covariation Hermann, M., Schunke, A., Schultz, T., Klein, R. In Proceedings of IEEE Pacific Visualization 2014, :161-168, March 2014 (Published) PDF DOI BibTeX

Empirical Inference Master Thesis A Novel Causal Inference Method for Time Series Shajarisales, N. Eberhard Karls Universität Tübingen, Germany, Eberhard Karls Universität Tübingen, Germany, 2014 (Published) PDF BibTeX

Empirical Inference Conference Paper A Permutation-Based Kernel Conditional Independence Test Doran, G., Muandet, K., Zhang, K., Schölkopf, B. In Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI2014), :132-141, (Editors: Nevin L. Zhang and Jin Tian), AUAI Press Corvallis, Oregon, UAI2014, 2014 () PDF BibTeX

Empirical Inference Article A few extreme events dominate global interannual variability in gross primary production Zscheischler, J., Mahecha, M., v Buttlar, J., Harmeling, S., Jung, M., Rammig, A., Randerson, J., Schölkopf, B., Seneviratne, S., Tomelleri, E., et al. Environmental Research Letters, 9(3):035001, 2014 () PDF Web DOI BibTeX

Empirical Inference Ph.D. Thesis A global analysis of extreme events and consequences for the terrestrial carbon cycle Zscheischler, J. Diss. No. 22043, ETH Zurich, Switzerland, ETH Zurich, Switzerland, 2014 () BibTeX

Empirical Inference Conference Paper A unifying view of representer theorems Argyriou, A., Dinuzzo, F. In Proceedings of the 31th International Conference on Machine Learning, 32:748-756, (Editors: Xing, E. P. and Jebera, T.), ICML, 2014 () PDF PDF BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Active Learning of Linear Embeddings for Gaussian Processes Garnett, R., Osborne, M., Hennig, P. In Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence, :230-239, (Editors: NL Zhang and J Tian), AUAI Press , Corvallis, Oregon, UAI2014, 2014, another link: http://arxiv.org/abs/1310.6740 () PDF Web BibTeX

Empirical Inference Conference Paper Active Reward Learning Daniel, C., Viering, M., Metz, J., Kroemer, O., Peters, J. In Proceedings of Robotics: Science & Systems, (Editors: Fox, D., Kavraki, LE., and Kurniawati, H.), RSS, 2014 (Published) PDF BibTeX

Empirical Inference Conference Paper An Experimental Comparison of Bayesian Optimization for Bipedal Locomotion Calandra, R., Seyfarth, A., Peters, J., Deisenroth, M. In Proceedings of 2014 IEEE International Conference on Robotics and Automation, :1951-1958, IEEE, ICRA, 2014 (Published) PDF DOI BibTeX

Empirical Inference Article An extended approach for spatiotemporal gapfilling: dealing with large and systematic gaps in geoscientific datasets v Buttlar, J., Zscheischler, J., Mahecha, M. Nonlinear Processes in Geophysics, 21(1):203-215, 2014 () PDF DOI BibTeX

Empirical Inference Ph.D. Thesis Analysis of Distance Functions in Graphs Alamgir, M. University of Hamburg, Germany, University of Hamburg, Germany, 2014 () BibTeX

Empirical Inference Article Assessing attention and cognitive function in completely locked-in state with event-related brain potentials and epidural electrocorticography Bensch, M., Martens, S., Halder, S., Hill, J., Nijboer, F., Ramos, A., Birbaumer, N., Bodgan, M., Kotchoubey, B., Rosenstiel, W., et al. Journal of Neural Engineering, 11(2):026006, 2014 (Published) DOI BibTeX

Empirical Inference Article Assessing randomness and complexity in human motion trajectories through analysis of symbolic sequences Peng, Z., Genewein, T., Braun, D. Frontiers in Human Neuroscience, 8(168):1-13, March 2014 () DOI BibTeX

Empirical Inference Conference Paper Bayesian Gait Optimization for Bipedal Locomotion Calandra, R., Gopalan, N., Seyfarth, A., Peters, J., Deisenroth, M. In Proceedings of the 8th International Conference on Learning and Intelligent Optimization , LNCS 8426:274-290, Lecture Notes in Computer Science, (Editors: Pardalos, PM., Resende, MGC., Vogiatzis, C., and Walteros, JL.), Springer, LION, 2014 (Published) PDF DOI BibTeX

Empirical Inference Master Thesis Causal Discovery in the Presence of Time-Dependent Relations or Small Sample Size Huang, B. Graduate Training Centre of Neuroscience, University of Tübingen, Germany, Graduate Training Centre of Neuroscience, University of Tübingen, Germany, 2014 () BibTeX

Empirical Inference Article Causal Discovery with Continuous Additive Noise Models Peters, J., Mooij, J., Janzing, D., Schölkopf, B. Journal of Machine Learning Research, 15:2009-2053, 2014 (Published) PDF Web BibTeX

Empirical Inference Conference Paper Causal and Anti-Causal Learning in Pattern Recognition for Neuroimaging Weichwald, S., Schölkopf, B., Ball, T., Grosse-Wentrup, M. In 4th International Workshop on Pattern Recognition in Neuroimaging (PRNI), IEEE , PRNI, 2014 () PDF Arxiv DOI BibTeX

Empirical Inference Article Causal discovery via reproducing kernel Hilbert space embeddings Chen, Z., Zhang, K., Chan, L., Schölkopf, B. Neural Computation, 26(7):1484-1517, 2014 (Published) DOI BibTeX

Empirical Inference Poster Cluster analysis of sharp-wave ripple field potential signatures in the macaque hippocampus Ramirez-Villegas, J. F., Logothetis, N. K., Besserve, M. Computational and Systems Neuroscience Meeting (COSYNE 2014), 2014 (Published) BibTeX

Empirical Inference Conference Paper Consistency of Causal Inference under the Additive Noise Model Kpotufe, S., Sgouritsa, E., Janzing, D., Schölkopf, B. In Proceedings of the 31st International Conference on Machine Learning, W&CP 32 (1), :478-495, (Editors: Eric P. Xing and Tony Jebara), JMLR, ICML, 2014 () PDF BibTeX

Empirical Inference Article Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification Persello, C., Boularias, A., Dalponte, M., Gobakken, T., Naesset, E., Schölkopf, B. IEEE Transactions on Geoscience and Remote Sensing, 10(52):6652 - 6664, 2014 (Published) DOI BibTeX

Empirical Inference Conference Paper Curiosity-driven learning with Context Tree Weighting Peng, Z., Braun, D. :366-367, IEEE, Piscataway, NJ, USA, 4th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (IEEE ICDL-EPIROB 2014), October 2014 () DOI BibTeX

Empirical Inference Conference Paper Decoding Index Finger Position from EEG Using Random Forests Weichwald, S., Meyer, T., Schölkopf, B., Ball, T., Grosse-Wentrup, M. In 4th International Workshop on Cognitive Information Processing (CIP), IEEE, CIP, 2014 () PDF Arxiv DOI BibTeX

Empirical Inference Article Development of a novel depth of interaction PET detector using highly multiplexed G-APD cross-strip encoding Kolb, A., Parl, C., Mantlik, F., Liu, C., Lorenz, E., Renker, D., Pichler, B. Medical Physics, 41(8), 2014 () Web DOI BibTeX

Empirical Inference Thesis Development of advanced methods for improving astronomical images Schmeißer, N. Eberhard Karls Universität Tübingen, Germany, Eberhard Karls Universität Tübingen, Germany, 2014 () BibTeX

Empirical Inference Article Diminished White Matter Integrity in Patients with Systemic Lupus Erythematosus Schmidt-Wilcke, T., Cagnoli, P., Wang, P., Schultz, T., Lotz, A., Mccune, W. J., Sundgren, P. C. NeuroImage: Clinical, 5:291-297, 2014 (Published) DOI BibTeX

Empirical Inference Poster Dynamical source analysis of hippocampal sharp-wave ripple episodes Ramirez-Villegas, J. F., Logothetis, N. K., Besserve, M. Bernstein Conference, 2014 (Published) DOI BibTeX

Autonomous Motion Empirical Inference Probabilistic Numerics Conference Paper Efficient Bayesian Local Model Learning for Control Meier, F., Hennig, P., Schaal, S. In Proceedings of the IEEE International Conference on Intelligent Robots and Systems, :2244 - 2249, IROS, 2014, clmc () PDF DOI URL BibTeX

Empirical Inference Conference Paper Efficient Structured Matrix Rank Minimization Yu, A. W., Ma, W., Yu, Y., Carbonell, J., Sra, S. Advances in Neural Information Processing Systems 27, :1350-1358, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), Curran Associates, Inc., 28th Annual Conference on Neural Information Processing Systems (NIPS 2014), 2014 (Published) URL BibTeX

Empirical Inference Article Efficient nearest neighbors via robust sparse hashing Cherian, A., Sra, S., Morellas, V., Papanikolopoulos, N. IEEE Transactions on Image Processing, 23(8):3646-3655, 2014 (Published) DOI BibTeX

Empirical Inference Article Epidural electrocorticography for monitoring of arousal in locked-in state Martens, S., Bensch, M., Halder, S., Hill, J., Nijboer, F., Ramos-Murguialday, A., Schölkopf, B., Birbaumer, N., Gharabaghi, A. Frontiers in Human Neuroscience, 8(861), 2014 (Published) DOI BibTeX

Empirical Inference Conference Paper Estimating Causal Effects by Bounding Confounding Geiger, P., Janzing, D., Schölkopf, B. In Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence , :240-249 , (Editors: Nevin L. Zhang and Jin Tian), AUAI Press Corvallis, Oregon , UAI, 2014 () PDF BibTeX

Empirical Inference Conference Paper Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm Daneshmand, H., Gomez Rodriguez, M., Song, L., Schölkopf, B. In Proceedings of the 31st International Conference on Machine Learning, W&CP 32 (1), :793-801, (Editors: Eric P. Xing and Tony Jebara), JMLR, ICML, 2014 () PDF BibTeX

Empirical Inference Article Evaluation of Positron Emission Tomographic Tracers for Imaging of Papillomavirus-Induced Tumors in Rabbits Probst, S., Wiehr, S., Mantlik, F., Schmidt, H., Kolb, A., Münch, P., Delcuratolo, M., Stubenrauch, F., Pichler, B., Iftner, T. Molecular Imaging, 13(1):1536-0121, 2014 () Web BibTeX

Empirical Inference Article Extreme events in gross primary production: a characterization across continents Zscheischler, J., Reichstein, M., Harmeling, S., Rammig, A., Tomelleri, E., Mahecha, M. Biogeosciences, 11:2909-2924, 2014 () PDF Web DOI BibTeX

Empirical Inference Poster FID-guided retrospective motion correction based on autofocusing Babayeva, M., Loktyushin, A., Kober, T., Granziera, C., Nickisch, H., Gruetter, R., Krueger, G. Joint Annual Meeting ISMRM-ESMRMB 2014, Milano, Italy, 2014 () BibTeX

Empirical Inference Article Factors controlling decomposition rates of fine root litter in temperate forests and grasslands Solly, E., Schöning, I., Boch, S., Kandeler, E., Marhan, S., Michalzik, B., Müller, J., Zscheischler, J., Trumbore, S., Schrumpf, M. Plant and Soil, 2014 () PDF DOI BibTeX

Empirical Inference Conference Paper Fast Newton methods for the group fused lasso Wytock, M., Sra, S., Kolter, J. Z. In Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence, :888-897, (Editors: Zhang, N. L. and Tian, J.), AUAI Press, UAI, 2014 (Published) URL BibTeX

Empirical Inference Book Chapter Fuzzy Fibers: Uncertainty in dMRI Tractography Schultz, T., Vilanova, A., Brecheisen, R., Kindlmann, G. In Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization, :79-92, 8, Mathematics + Visualization, (Editors: Hansen, C. D., Chen, M., Johnson, C. R., Kaufman, A. E. and Hagen, H.), Springer, 2014 (Published) BibTeX

Empirical Inference Article Generalized Thompson sampling for sequential decision-making and causal inference Ortega, P., Braun, D. Complex Adaptive Systems Modeling, 2(2):1-23, March 2014 () DOI BibTeX

Empirical Inference Book Chapter Higher-Order Tensors in Diffusion Imaging Schultz, T., Fuster, A., Ghosh, A., Deriche, R., Florack, L., Lim, L. In Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, :129-161, Mathematics + Visualization, (Editors: Westin, C.-F., Vilanova, A. and Burgeth, B.), Springer, 2014 (Published) BibTeX

Empirical Inference Article IM3SHAPE: Maximum likelihood galaxy shear measurement code for cosmic gravitational lensing Zuntz, J., Kacprzak, T., Voigt, L., Hirsch, M., Rowe, B., Bridle, S. Astrophysics Source Code Library, 1:09013, 2014 () URL BibTeX