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 Occam’s Razor in sensorimotor learning Genewein, T., Braun, D. Proceedings of the Royal Society of London B, 281(1783):1-7, May 2014 () DOI BibTeX

Empirical Inference Article On power law distributions in large-scale taxonomies Babbar, R., Metzig, C., Partalas, I., Gaussier, E., Amini, M. SIGKDD Explorations, Special Issue on Big Data, 16(1):47-56, 2014 () BibTeX

Empirical Inference Article On the Quantification Accuracy, Homogeneity, and Stability of Simultaneous Positron Emission Tomography/Magnetic Resonance Imaging Systems Schmidt, H., Schwenzer, N., Bezrukov, I., Mantlik, F., Kolb, A., Kupferschläger, J., Pichler, B. Investigative Radiology, 49(6):373-381, 2014 () Web DOI BibTeX

Empirical Inference Conference Paper Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem Gomez Rodriguez, M., Song, L., Schölkopf, B. Proceedings of the 27th Conference on Learning Theory, 35:1276-1279, (Editors: Balcan, M.-F. and Szepesvári, C.), JMLR.org, COLT, 2014 () PDF BibTeX

Empirical Inference Article Policy Evaluation with Temporal Differences: A Survey and Comparison Dann, C., Neumann, G., Peters, J. Journal of Machine Learning Research, 15:809-883, 2014 () PDF BibTeX

Empirical Inference Conference Paper Policy Search For Learning Robot Control Using Sparse Data Bischoff, B., Nguyen-Tuong, D., van Hoof, H., McHutchon, A., Rasmussen, C., Knoll, A., Peters, J., Deisenroth, M. In Proceedings of 2014 IEEE International Conference on Robotics and Automation, :3882-3887, IEEE, ICRA, 2014 (Published) PDF DOI BibTeX

Empirical Inference Article Predicting Motor Learning Performance from Electroencephalographic Data Meyer, T., Peters, J., Zander, T., Schölkopf, B., Grosse-Wentrup, M. Journal of NeuroEngineering and Rehabilitation, 11:24, 2014 () PDF DOI BibTeX

Empirical Inference Article Principles of PET/MR Imaging Disselhorst, J. A., Bezrukov, I., Kolb, A., Parl, C., Pichler, B. J. Journal of Nuclear Medicine, 55(6, Supplement 2):2S-10S, 2014 (Published) DOI BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Probabilistic Shortest Path Tractography in DTI Using Gaussian Process ODE Solvers Schober, M., Kasenburg, N., Feragen, A., Hennig, P., Hauberg, S. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, Lecture Notes in Computer Science Vol. 8675, :265-272, (Editors: P. Golland, N. Hata, C. Barillot, J. Hornegger and R. Howe), Springer, Heidelberg, MICCAI, 2014 () DOI BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Probabilistic ODE Solvers with Runge-Kutta Means Schober, M., Duvenaud, D., Hennig, P. In Advances in Neural Information Processing Systems 27, :739-747, (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) Web URL BibTeX

Empirical Inference Conference Paper Quantifying Information Overload in Social Media and its Impact on Social Contagions Gomez Rodriguez, M., Gummadi, K., Schölkopf, B. In Proceedings of the Eighth International Conference on Weblogs and Social Media, :170-179, (Editors: E. Adar, P. Resnick, M. De Choudhury, B. Hogan, and A. Oh), AAAI Press, ICWSM, 2014 (Published) Web BibTeX

Empirical Inference Talk Quantifying statistical dependency Besserve, M. Research Network on Learning Systems Summer School, 2014 (Published) BibTeX

Empirical Inference Article Quantifying the effect of intertrial dependence on perceptual decisions Fründ, I., Wichmann, F., Macke, J. Journal of Vision, 14(7):1-16, 2014 (Published) Web PDF DOI URL BibTeX

Empirical Inference Conference Paper Randomized Nonlinear Component Analysis Lopez-Paz, D., Sra, S., Smola, A., Ghahramani, Z., Schölkopf, B. In Proceedings of the 31st International Conference on Machine Learning, W&CP 32 (1), :1359-1367, (Editors: Eric P. Xing and Tony Jebara), JMLR, ICML, 2014 () PDF BibTeX

Empirical Inference Conference Paper Re-ranking Approach to Classification in Large-scale Power-law Distributed Category Systems Babbar, R., Partalas, I., Gaussier, E., Amini, M. In Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, :1059-1062, (Editors: S Geva and A Trotman and P Bruza and CLA Clarke and K Järvelin), ACM, New York, NY, USA, SIGIR, 2014 () DOI BibTeX

Empirical Inference Conference Paper Riemannian Sparse Coding for Positive Definite Matrices Cherian, A., Sra, S. In 13th European Conference on Computer Vision, LNCS 8691:299-314, (Editors: Fleet, D., Pajdla, T., Schiele, B., and Tuytelaars, T.), Springer, ECCV, 2014 (Published) DOI BibTeX

Empirical Inference Conference Paper Sample-Based Information-Theoretic Stochastic Optimal Control Lioutikov, R., Paraschos, A., Peters, J., Neumann, G. In Proceedings of 2014 IEEE International Conference on Robotics and Automation, :3896-3902, IEEE, ICRA, 2014 (Published) PDF DOI BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature Gunter, T., Osborne, M., Garnett, R., Hennig, P., Roberts, S. In Advances in Neural Information Processing Systems 27, :2789-2797, (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) Web URL BibTeX

Empirical Inference Article Simultaneous Whole-Body PET/MR Imaging in Comparison to PET/CT in Pediatric Oncology: Initial Results Schäfer, J. F., Gatidis, S., Schmidt, H., Gückel, B., Bezrukov, I., Pfannenberg, C. A., Reimold, M., M., E., Fuchs, J., Claussen, C. D., et al. Radiology, 273(1):220-231, 2014 (Published) DOI BibTeX

Empirical Inference Book Chapter Single-Source Domain Adaptation with Target and Conditional Shift Zhang, K., Schölkopf, B., Muandet, K., Wang, Z., Zhou, Z., Persello, C. In Regularization, Optimization, Kernels, and Support Vector Machines, :427-456, 19, Chapman & Hall/CRC Machine Learning & Pattern Recognition, (Editors: Suykens, J. A. K., Signoretto, M. and Argyriou, A.), Chapman and Hall/CRC, Boca Raton, USA, 2014 () BibTeX

Empirical Inference Article Special issue on autonomous grasping and manipulation Ben Amor, H., Saxena, A., Hudson, N., Peters, J. Autonomous Robots, 36(1-2):1-3, 2014 () DOI BibTeX

Empirical Inference Article Sérsic galaxy models in weak lensing shape measurement: model bias, noise bias and their interaction Kacprzak, T., Bridle, S., Rowe, B., Voigt, L., Zuntz, J., Hirsch, M., MacCrann, N. Monthly Notices of the Royal Astronomical Society, 441(3):2528-2538, Oxford University Press, 2014 (Published) DOI BibTeX

Empirical Inference Master Thesis The Feasibility of Causal Discovery in Complex Systems: An Examination of Climate Change Attribution and Detection Lacosse, E. Graduate Training Centre of Neuroscience, University of Tübingen, Germany, Graduate Training Centre of Neuroscience, University of Tübingen, Germany, 2014 () BibTeX

Empirical Inference Conference Paper Towards Neurofeedback Training of Associative Brain Areas for Stroke Rehabilitation Özdenizci, O., Meyer, T., Cetin, M., Grosse-Wentrup, M. In Proceedings of the 6th International Brain-Computer Interface Conference, (Editors: G Müller-Putz and G Bauernfeind and C Brunner and D Steyrl and S Wriessnegger and R Scherer), 2014 () PDF DOI BibTeX

Empirical Inference Conference Paper Towards an optimal stochastic alternating direction method of multipliers Azadi, S., Sra, S. Proceedings of the 31st International Conference on Machine Learning, 32:620-628, (Editors: Xing, E. P. and Jebara, T.), JMLR, ICML, 2014 () URL BibTeX

Empirical Inference Conference Paper Towards building a Crowd-Sourced Sky Map Lang, D., Hogg, D., Schölkopf, B. In Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, JMLR W\&CP 33:549–557, (Editors: S. Kaski and J. Corander), JMLR.org, AISTATS, 2014 (Published) URL BibTeX

Empirical Inference Article Two numerical models designed to reproduce Saturn ring temperatures as measured by Cassini-CIRS Altobelli, N., Lopez-Paz, D., Pilorz, S., Spilker, L., Morishima, R., Brooks, S., Leyrat, C., Deau, E., Edgington, S., Flandes, A. Icarus, 238(0):205 - 220, 2014 (Published) Web DOI URL BibTeX

Empirical Inference Article Uncovering the Structure and Temporal Dynamics of Information Propagation Gomez Rodriguez, M., Leskovec, J., Balduzzi, D., Schölkopf, B. Network Science, 2(1):26-65, 2014 (Published) DOI BibTeX

Empirical Inference Talk Unsupervised identification of neural events in local field potentials Besserve, M., Schölkopf, B., Logothetis, N. K. 44th Annual Meeting of the Society for Neuroscience (Neuroscience 2014), 2014 (Published) BibTeX

Empirical Inference Conference Paper Visualizing Uncertainty in HARDI Tractography Using Superquadric Streamtubes Wiens, V., Schlaffke, L., Schmidt-Wilcke, T., Schultz, T. In Eurographics Conference on Visualization, Short Papers, (Editors: Elmqvist, N. and Hlawitschka, M. and Kennedy, J.), EuroVis, 2014 (Published) DOI URL BibTeX

Empirical Inference Article CAM: Causal Additive Models, high-dimensional order search and penalized regression Bühlmann, P., Peters, J., Ernest, J. Annals of Statistics, 42(6):2526-2556, 2014 (Published) DOI BibTeX

Empirical Inference Book Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond Schölkopf, B., Smola, A. :644, Adaptive Computation and Machine Learning, MIT Press, Cambridge, MA, USA, December 2002, Parts of this book, including an introduction to kernel methods, can be downloaded here. () Web DOI BibTeX

Empirical Inference Conference Paper Gender Classification of Human Faces Graf, A., Wichmann, F. In Biologically Motivated Computer Vision 2002, Biologically Motivated Computer Vision, :1-18, (Editors: Bülthoff, H. H., S.W. Lee, T. A. Poggio and C. Wallraven), Springer, Berlin, Germany, Second International Workshop on Biologically Motivated Computer Vision (BMCV 2002), November 2002 () PDF PDF DOI BibTeX

Empirical Inference Conference Paper Insect-Inspired Estimation of Self-Motion Franz, M., Chahl, J. In Proc. 2nd Workshop on Biologically Motivated Computer Vision 2002, BMCV 2002, Biologically Motivated Computer Vision, (2525):171-180, LNCS, (Editors: Bülthoff, H.H. , S.W. Lee, T.A. Poggio, C. Wallraven), Springer, Berlin, Germany, Second International Workshop on Biologically Motivated Computer Vision (BMCV 2002), November 2002 () PDF PDF DOI BibTeX

Empirical Inference Poster Modelling Contrast Transfer in Spatial Vision Wichmann, F. Journal of Vision, 2(10):7, Second Annual Meeting of the Vision Sciences Society (VSS 2002), November 2002 () Web DOI BibTeX

Empirical Inference Poster Pulse train detection and discrimination in pink noise Henning, G., Wichmann, F., Bird, C. Journal of Vision, 2(7):229, Second Annual Meeting of the Vision Sciences Society (VSS 2002), November 2002 () Web DOI BibTeX

Empirical Inference Poster Surface-slant-from-texture discrimination: Effects of slant level and texture type Rosas, P., Wichmann, F., Wagemans, J. Journal of Vision, 2(7):300, Second Annual Meeting of the Vision Sciences Society (VSS 2002), November 2002 () Web DOI BibTeX

Empirical Inference Conference Paper Combining sensory Information to Improve Visualization Ernst, M., Banks, M., Wichmann, F., Maloney, L., Bülthoff, H. In Proceedings of the Conference on Visualization ‘02 (VIS ‘02), :571-574, (Editors: Moorhead, R. , M. Joy), IEEE, Piscataway, NJ, USA, IEEE Conference on Visualization 2002 (VIS '02), October 2002 () PDF Web BibTeX

Empirical Inference Article Constructing Boosting algorithms from SVMs: an application to one-class classification. Rätsch, G., Mika, S., Schölkopf, B., Müller, K. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(9):1184-1199, September 2002 () DOI BibTeX

Empirical Inference Conference Paper Incorporating Invariances in Non-Linear Support Vector Machines Chapelle, O., Schölkopf, B. In Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems 14, :609-616, (Editors: TG Dietterich and S Becker and Z Ghahramani), MIT Press, Cambridge, MA, USA, 15th Annual Neural Information Processing Systems Conference (NIPS 2001), September 2002 () PDF Web BibTeX

Empirical Inference Technical Report Kernel Dependency Estimation Weston, J., Chapelle, O., Elisseeff, A., Schölkopf, B., Vapnik, V. (98), Max Planck Institute for Biological Cybernetics, August 2002 () PDF BibTeX

Empirical Inference Poster Phase information in the recognition of natural images Braun, D., Wichmann, F., Gegenfurtner, K. Perception, 31(ECVP Abstract Supplement):133, 25th European Conference on Visual Perception, August 2002 () Web BibTeX

Empirical Inference Article The contributions of color to recognition memory for natural scenes Wichmann, F., Sharpe, L., Gegenfurtner, K. Journal of Experimental Psychology: Learning, Memory and Cognition, 28(3):509-520, May 2002 () PDF Web DOI BibTeX

Empirical Inference Poster Detection and discrimination in pink noise Wichmann, F., Henning, G. 5:100, 5. T{\"u}binger Wahrnehmungskonferenz (TWK 2002), February 2002 () Web BibTeX

Empirical Inference Article Training invariant support vector machines DeCoste, D., Schölkopf, B. Machine Learning, 46(1-3):161-190, January 2002 () PDF DOI BibTeX

Empirical Inference Technical Report A compression approach to support vector model selection von Luxburg, U., Bousquet, O., Schölkopf, B. (101), Max Planck Institute for Biological Cybernetics, 2002, see more detailed JMLR version () BibTeX

Empirical Inference Conference Paper A kernel approach for learning from almost orthogonal patterns Schölkopf, B., Weston, J., Eskin, E., Leslie, C., Noble, W. In 13th European Conference on Machine Learning (ECML 2002) and 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'2002), Helsinki, Principles of Data Mining and Knowledge Discovery, Lecture Notes in Computer Science, 2430/2431:511-528, Lecture Notes in Computer Science, (Editors: T Elomaa and H Mannila and H Toivonen), Springer, Berlin, Germany, 13th European Conference on Machine Learning (ECML 2002) and 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'2002), 2002 () PostScript DOI BibTeX

Empirical Inference Poster Application of Monte Carlo Methods to Psychometric Function Fitting Wichmann, F. Proceedings of the 33rd European Conference on Mathematical Psychology, :44, 2002 () BibTeX

Empirical Inference Article Contrast discrimination with pulse-trains in pink noise Henning, G., Bird, C., Wichmann, F. Journal of the Optical Society of America A, 19(7):1259-1266, 2002 () PDF BibTeX