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 Ph.D. Thesis Learning Motor Skills: From Algorithms to Robot Experiments Kober, J. Technische Universität Darmstadt, Germany, March 2012 PDF BibTeX

Empirical Inference Article Technical performance evaluation of a human brain PET/MRI system Kolb, A., Wehrl, H., Hofmann, M., Judenhofer, M., Eriksson, L., Ladebeck, R., Lichy, M., Byars, L., Michel, C., Schlemmer, H., et al. European Radiology, 22(8):1776-1788, March 2012 Web DOI BibTeX

Empirical Inference Article A non-monotonic method for large-scale non-negative least squares Kim, D., Sra, S., Dhillon, I. S. Optimization Methods and Software, 28(5):1012-1039, February 2012 (Published) DOI BibTeX

Empirical Inference Technical Report High Gamma-Power Predicts Performance in Brain-Computer Interfacing Grosse-Wentrup, M., Schölkopf, B. (3), Max-Planck-Institut für Intelligente Systeme, Tübingen, February 2012 PDF BibTeX

Empirical Inference Article Inferring Networks of Diffusion and Influence Gomez Rodriguez, M., Leskovec, J., Krause, A. ACM Transactions on Knowledge Discovery from Data, 5(4:21), February 2012 Web DOI BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Approximate Gaussian Integration using Expectation Propagation Cunningham, J., Hennig, P., Lacoste-Julien, S. In 1-11, -, January 2012 (Submitted) Web BibTeX

Empirical Inference Book Chapter Expectation-Maximization methods for solving (PO)MDPs and optimal control problems Toussaint, M., Storkey, A., Harmeling, S. In Inference and Learning in Dynamic Models, (Editors: Barber, D., Cemgil, A.T. and Chiappa, S.), Cambridge University Press, Cambridge, UK, January 2012 (In press) PDF BibTeX

Empirical Inference Article How the initialization affects the stability of the k-means algorithm Bubeck, S., Meila, M., von Luxburg, U. ESAIM: Probability and Statistics, 16:436-452, January 2012 Web DOI BibTeX

Empirical Inference Conference Paper Personalized medicine: from genotypes and molecular phenotypes towards computed therapy Stegle, O., Roth, F., Morris, Q., Listgarten, J. In 323-326, (Editors: Altman, R.B. , A.K. Dunker, L. Hunter, T. Murray, T.E. Klein), World Scientific Publishing, Singapore, Pacific Symposium on Biocomputing (PSB 2012), January 2012 Web DOI BibTeX

Empirical Inference Conference Paper A Blind Deconvolution Approach for Pseudo CT Prediction from MR Image Pairs Hirsch, M., Hofmann, M., Mantlik, F., Pichler, B., Schölkopf, B., Habeck, M. In 19th IEEE International Conference on Image Processing (ICIP) , 2953 -2956, IEEE, ICIP, 2012 DOI BibTeX

Empirical Inference Conference Paper A Brain-Robot Interface for Studying Motor Learning after Stroke Meyer, T., Peters, J., Brötz, D., Zander, T., Schölkopf, B., Soekadar, S., Grosse-Wentrup, M. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 4078 - 4083 , IEEE, Piscataway, NJ, USA, IROS, 2012 PDF DOI BibTeX

Perceiving Systems Conference Paper A Geometric Take on Metric Learning Hauberg, S., Freifeld, O., Black, M. J. In Advances in Neural Information Processing Systems (NIPS) 25, 2033-2041, (Editors: P. Bartlett and F.C.N. Pereira and C.J.C. Burges and L. Bottou and K.Q. Weinberger), MIT Press, 2012 PDF Youtube Suppl. material Poster BibTeX

Empirical Inference Conference Paper A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function Ortega, P., Grau-Moya, J., Genewein, T., Balduzzi, D., Braun, D. In Advances in Neural Information Processing Systems 25, 3014-3022, (Editors: P Bartlett and FCN Pereira and CJC. Burges and L Bottou and KQ Weinberger), Curran Associates Inc., 26th Annual Conference on Neural Information Processing Systems (NIPS 2012), 2012 PDF BibTeX

Theory of Inhomogeneous Condensed Matter Article A close look at proteins: submolecular resolution of two- and three-dimensionally folded cytochrome c at surfaces Deng, Z., Thontasen, N., Malinowski, N., Rinke, G., Harnau, L., Rauschenbach, S., Kern, K. Nano Letters, 12:2452-2458, 2012 DOI BibTeX

Empirical Inference Conference Paper A min-cut solution to mapping phenotypes to networks of genetic markers Azencott, C., Grimm, D., Kawahara, Y., Borgwardt, K. In 17th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2013), 2012 (Submitted) BibTeX

Empirical Inference Conference Paper A new metric on the manifold of kernel matrices with application to matrix geometric means Sra, S. In Advances in Neural Information Processing Systems 25, 144-152, (Editors: P Bartlett and FCN Pereira and CJC. Burges and L Bottou and KQ Weinberger), Curran Associates Inc., 26th Annual Conference on Neural Information Processing Systems (NIPS 2012), 2012 PDF BibTeX

Empirical Inference Article A sensorimotor paradigm for Bayesian model selection Genewein, T., Braun, D. Frontiers in Human Neuroscience, 6(291):1-16, October 2012 DOI BibTeX

Empirical Inference Article Active learning for domain adaptation in the supervised classification of remote sensing images Persello, C., Bruzzone, L. IEEE Transactions on Geoscience and Remote Sensing, 50(11):4468-4483, 2012 (Published) DOI BibTeX

Physical Intelligence Article Active visual search in unknown environments using uncertain semantics Aydemir, A., Pronobis, A., Jensfelt, P., Sj, K., Aydemir, A., Jensfelt, P., Aydemir, A., Jensfelt, P., Aydemir, A., Jensfelt, P., et al. Transactions, 1:2329-2335, IEEE, 2012 BibTeX

Empirical Inference Conference Paper Adaptive Coding of Actions and Observations Ortega, P., Braun, D. 1-4, NIPS 2012 Workshop on Information in Perception and Action, December 2012 URL BibTeX

Empirical Inference Conference Paper Algorithms for Learning Markov Field Policies Boularias, A., Kroemer, O., Peters, J. In Advances in Neural Information Processing Systems 25, 2186-2194, (Editors: P Bartlett and FCN Pereira and CJC. Burges and L Bottou and KQ Weinberger), Curran Associates Inc., 26th Annual Conference on Neural Information Processing Systems (NIPS 2012), 2012 PDF BibTeX

Perceiving Systems Book Chapter An Introduction to Random Forests for Multi-class Object Detection Gall, J., Razavi, N., van Gool, L. In Outdoor and Large-Scale Real-World Scene Analysis, 7474:243-263, LNCS, (Editors: Dellaert, Frank and Frahm, Jan-Michael and Pollefeys, Marc and Rosenhahn, Bodo and Leal-Taix’e, Laura), Springer, 2012 code for Hough forest publisher's site pdf BibTeX

Autonomous Motion Conference Paper An adaptive sensor foot for a bipedal and quadrupedal robot Fondahl, K., Kuehn, D., Beinersdorf, F., Bernhard, F., Grimminger, F., Schilling, M., Stark, T., Kirchner, F. In 2012 4th IEEE RAS EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), 270-275, June 2012 DOI BibTeX

Empirical Inference Article Arabidopsis defense against Botrytis cinerea: chronology and regulation deciphered by high-resolution temporal transcriptomic analysis Windram, O., Madhou, P., McHattie, S., Hill, C., Hickman, R., Cooke, E., Jenkins, D., Penfold, C., Baxter, L., Breeze, E., et al. The Plant Cell Online, 24(9):3530-3557, 2012, all authors: Oliver Windram,Priyadharshini Madhou,Stuart McHattie,Claire Hill,Richard Hickman,Emma Cooke,Dafyd J. Jenkins,Christopher A. Penfold,Laura Baxter,Emily Breeze,Steven J. Kiddle,Johanna Rhodes,Susanna Atwell,Daniel J. Web DOI BibTeX

Physical Intelligence Book Chapter Automated Tip-Based 2-D Mechanical Assembly of Micro/Nanoparticles Onal, C. D., Ozcan, O., Sitti, M. In Feedback Control of MEMS to Atoms, 69-108, Springer US, 2012 BibTeX

Empirical Inference Talk Beta oscillations propagate as traveling waves in the macaque prefrontal cortex Panagiotaropoulos, T., Besserve, M., Logothetis, N. 42nd Annual Meeting of the Society for Neuroscience (Neuroscience 2012), 2012 BibTeX

Empirical Inference Conference Paper Blind Correction of Optical Aberrations Schuler, C., Hirsch, M., Harmeling, S., Schölkopf, B. In Computer Vision - ECCV 2012, LNCS Vol. 7574, 187-200, (Editors: A Fitzgibbon, S Lazebnik, P Perona, Y Sato, and C Schmid), Springer, Berlin, Germany, 12th IEEE European Conference on Computer Vision, ECCV, 2012 PDF Web DOI BibTeX

Empirical Inference Conference Paper Bridging Offline and Online Social Graph Dynamics Gomez Rodriguez, M., Rogati, M. In 21st ACM Conference on Information and Knowledge Management, 2447-2450, (Editors: Chen, X., Lebanon, G., Wang, H. and Zaki, M. J.), ACM, CIKM, 2012 PDF DOI BibTeX

Empirical Inference Article CSB: A Python framework for computational structural biology Kalev, I., Mechelke, M., Kopec, K., Holder, T., Carstens, S., Habeck, M. Bioinformatics, 28(22):2996-2997, 2012 Web DOI BibTeX

Empirical Inference Article Calibration of Boltzmann distribution priors in Bayesian data analysis Mechelke, M., Habeck, M. Physical Review E, 86(6):066705, 2012 (Published) DOI BibTeX

Empirical Inference Conference Paper Causal discovery with scale-mixture model for spatiotemporal variance dependencies Chen, Z., Zhang, K., Chan, L. In Advances in Neural Information Processing Systems 25, 1736-1744, (Editors: P Bartlett and FCN Pereira and CJC. Burges and L Bottou and KQ Weinberger), Curran Associates Inc., 26th Annual Conference on Neural Information Processing Systems (NIPS 2012), 2012 PDF PDF BibTeX

Empirical Inference Poster Centrality of the Mammalian Functional Brain Network Besserve, M., Bartels, A., Murayama, Y., Logothetis, N. 42nd Annual Meeting of the Society for Neuroscience (Neuroscience 2012), 2012 BibTeX

Physical Intelligence Article Chemotactic steering of bacteria propelled microbeads Kim, D., Liu, A., Diller, E., Sitti, M. Biomedical microdevices, 14(6):1009-1017, Springer US, 2012 BibTeX

Empirical Inference Conference Paper Clustering: Science or Art? von Luxburg, U., Williamson, R., Guyon, I. In JMLR Workshop and Conference Proceedings, Volume 27, 65-79, Workshop on Unsupervised Learning and Transfer Learning, 2012 PDF BibTeX

Theory of Inhomogeneous Condensed Matter Article Complete wetting of elastically responsive substrates Bernardino, N. R., Dietrich, S. Physical Review E, 85(5):051603, 2012 DOI BibTeX

Empirical Inference Conference Paper Computational vascular morphometry for the assessment of pulmonary vascular disease based on scale-space particles Estépar, R., Ross, J., Krissian, K., Schultz, T., Washko, G., Kindlmann, G. In 1479-1482, IEEE, 9th International Symposium on Biomedical Imaging (ISBI 2012) , 2012 DOI BibTeX

Empirical Inference Conference Paper Conditional mean embeddings as regressors Grünewälder, S., Lever, G., Baldassarre, L., Patterson, S., Gretton, A., Pontil, M. In Proceedings of the 29th International Conference on Machine Learning, 1823-1830, (Editors: J Langford and J Pineau), Omnipress, New York, NY, USA, ICML, 2012 PDF BibTeX

Perceiving Systems Book Consumer Depth Cameras for Computer Vision - Research Topics and Applications Fossati, A., Gall, J., Grabner, H., Ren, X., Konolige, K. Advances in Computer Vision and Pattern Recognition, Springer, 2012 publisher's site BibTeX