Institute Homepage
Institute Homepage Sign In

Publications

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 Quantitative evaluation of segmentation- and atlas- based attenuation correction for PET/MR on pediatric patients Bezrukov, I., Schmidt, H., Gatidis, S., Mantlik, F., Schäfer, J. F., Schwenzer, N., Pichler, B. J. Journal of Nuclear Medicine, 56(7):1067-1074, 2015 (Published) DOI BibTeX
Empirical Inference Conference Paper Recent Methodological Advances in Causal Discovery and Inference Spirtes, P., Zhang, K. In 15th Conference on Theoretical Aspects of Rationality and Knowledge, :23-35, (Editors: Ramanujam, R.), TARK, 2015 () BibTeX
Empirical Inference Conference Paper Removing systematic errors for exoplanet search via latent causes Schölkopf, B., Hogg, D., Wang, D., Foreman-Mackey, D., Janzing, D., Simon-Gabriel, C. J., Peters, J. In Proceedings of The 32nd International Conference on Machine Learning, 37:2218–2226, JMLR Workshop and Conference Proceedings, (Editors: Bach, F. and Blei, D.), JMLR, ICML, 2015 (Published) Extended version on arXiv URL BibTeX
Empirical Inference Article Segmentation-based attenuation correction in positron emission tomography/magnetic resonance: erroneous tissue identification and its impact on positron emission tomography interpretation Brendle, C., Schmidt, H., Oergel, A., Bezrukov, I., Mueller, M., Schraml, C., Pfannenberg, C., la Fougère, C., Nikolaou, K., Schwenzer, N. Investigative Radiology, 50(5):339-346, 2015 (Published) DOI BibTeX
Empirical Inference Conference Paper Self-calibration of optical lenses Hirsch, M., Schölkopf, B. In IEEE International Conference on Computer Vision (ICCV 2015), :612-620, IEEE, 2015 (Published) DOI BibTeX
Empirical Inference Autonomous Motion Conference Paper Semi-Autonomous 3rd-Hand Robot Lopes, M., Peters, J., Piater, J., Toussaint, M., Baisero, A., Busch, B., Erkent, O., Kroemer, O., Lioutikov, R., Maeda, G., et al. In Workshop on Cognitive Robotics in Future Manufacturing Scenarios, European Robotics Forum, 2015 (Published) URL BibTeX
Empirical Inference Master Thesis Sequential Image Deconvolution Using Probabilistic Linear Algebra Gao, M. Technical University of Munich, Germany, 2015 () BibTeX
Empirical Inference Article Signaling equilibria in sensorimotor interactions Leibfried, F., Grau-Moya, J., Braun, D. Cognition, 141:73-86, August 2015 () DOI BibTeX
Empirical Inference Article Spatial statistics and attentional dynamics in scene viewing Engbert, R., Trukenbrod, H., Barthelmé, S., Wichmann, F. Journal of Vision, 15(1):1-17, 2015 (Published) Web PDF DOI URL BibTeX
Empirical Inference Article Structural Intervention Distance (SID) for Evaluating Causal Graphs Peters, J., Bühlmann, P. Neural Computation , 27(3):771-799, 2015 (Published) DOI BibTeX
Empirical Inference Article Structure Learning in Bayesian Sensorimotor Integration Genewein, T., Hez, E., Razzaghpanah, Z., Braun, D. PLoS Computational Biology, 11(8):1-27, August 2015 () DOI BibTeX
Empirical Inference Conference Paper Telling cause from effect in deterministic linear dynamical systems Shajarisales, N., Janzing, D., Schölkopf, B., Besserve, M. In Proceedings of the 32nd International Conference on Machine Learning, 37:285–294, JMLR Workshop and Conference Proceedings, (Editors: F. Bach and D. Blei), JMLR, ICML, 2015 () PDF BibTeX
Empirical Inference Technical Report The DES Science Verification Weak Lensing Shear Catalogs Jarvis, M., Sheldon, E., Zuntz, J., Kacprzak, T., Bridle, S. L., Amara, A., Armstrong, R., Becker, M. R., Bernstein, G. M., Bonnett, C., et al. arXiv preprint arXiv:1507.05603, 2015 (Published) URL BibTeX
Empirical Inference Article The Randomized Causation Coefficient Lopez-Paz, D., Muandet, K., Recht, B. Journal of Machine Learning, 16:2901-2907, 2015 (Published) URL BibTeX
Empirical Inference Master Thesis The effect of frowning on attention Ibarra Chaoul, A. Graduate Training Centre of Neuroscience, University of Tübingen, Germany, 2015 () BibTeX
Empirical Inference Talk The search for single exoplanet transits in the Kepler light curves Foreman-Mackey, D., Hogg, D. W., Schölkopf, B. IAU General Assembly, 22:2258352, 2015 (Published) URL BibTeX
Empirical Inference Conference Paper Towards Cognitive Brain-Computer Interfaces for Patients with Amyotrophic Lateral Sclerosis Fomina, T., Schölkopf, B., Grosse-Wentrup, M. In 7th Computer Science and Electronic Engineering Conference, :77-80, Curran Associates, Inc., CEEC, 2015 (Published) DOI BibTeX
Empirical Inference Autonomous Motion Conference Paper Towards Learning Hierarchical Skills for Multi-Phase Manipulation Tasks Kroemer, O., Daniel, C., Neumann, G., van Hoof, H., Peters, J. In IEEE International Conference on Robotics and Automation, :1503 - 1510, ICRA, 2015 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Towards a Learning Theory of Cause-Effect Inference Lopez-Paz, D., Muandet, K., Schölkopf, B., Tolstikhin, I. In Proceedings of the 32nd International Conference on Machine Learning, 37:1452–1461, JMLR Workshop and Conference Proceedings, (Editors: F. Bach and D. Blei), JMLR, ICML, 2015 (Published) Web BibTeX
Empirical Inference Article Towards denoising XMCD movies of fast magnetization dynamics using extended Kalman filter Kopp, M., Harmeling, S., Schütz, G., Schölkopf, B., Fähnle, M. Ultramicroscopy, 148:115-122, 2015 () Web DOI BibTeX
Empirical Inference Article What is epistemic value in free energy models of learning and acting? A bounded rationality perspective Ortega, P., Braun, D. Cognitive Neuroscience, 6(4):215-216, December 2015 () DOI BibTeX
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 Article A Brain-Computer Interface Based on Self-Regulation of Gamma-Oscillations in the Superior Parietal Cortex Grosse-Wentrup, M., Schölkopf, B. Journal of Neural Engineering, 11(5):056015, 2014 () Web 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 Talk Causal Inference from Passive Observations Janzing, D. 24th Summer School University of Jyväskylā, Finland, August, 2014 () slides_Monday slides_Tuesday slides_Wednesday slides_Thursday slides_Friday 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