Peters, J., Lee, D., Kober, J., Nguyen-Tuong, D., Bagnell, J., Schaal, S.
Robot Learning
In Springer Handbook of Robotics, pages: 357-394, 15, 2nd, (Editors: Siciliano, Bruno and Khatib, Oussama), Springer International Publishing, 2017 (inbook)
Peters, J., Bagnell, J.
Policy Gradient Methods
In Encyclopedia of Machine Learning and Data Mining, pages: 982-985, 2nd, (Editors: Sammut, Claude and Webb, Geoffrey I.), Springer US, 2017 (inbook)
Flad, N., Fomina, T., Bülthoff, H. H., Chuang, L. L.
Unsupervised clustering of EOG as a viable substitute for optical eye-tracking
In First Workshop on Eye Tracking and Visualization (ETVIS 2015), pages: 151-167, Mathematics and Visualization, (Editors: Burch, M., Chuang, L., Fisher, B., Schmidt, A., and Weiskopf, D.), Springer, 2017 (inbook)
Janzing, D.
Statistical Asymmetries Between Cause and Effect
In Time in Physics, pages: 129-139, Tutorials, Schools, and Workshops in the Mathematical Sciences, (Editors: Renner, Renato and Stupar, Sandra), Springer International Publishing, Cham, 2017 (inbook)
Peters, J., Tedrake, R., Roy, N., Morimoto, J.
Robot Learning
In Encyclopedia of Machine Learning and Data Mining, pages: 1106-1109, 2nd, (Editors: Sammut, Claude and Webb, Geoffrey I.), Springer US, 2017 (inbook)
Muandet, K.
Support Vector Machines, Support Measure Machines, and Quasar Target Selection
Center for Cosmology and Particle Physics (CCPP), New York University, December 2012 (talk)
Muandet, K.
Hilbert Space Embedding for Dirichlet Process Mixtures
NIPS Workshop on Confluence between Kernel Methods and Graphical Models, December 2012 (talk)
Wehrl, H., Lankes, K., Hossain, M., Bezrukov, I., Liu, C., Martirosian, P., Schick, F., Pichler, B.
Simultaneous small animal PET/MR in activated and resting state reveals multiple brain networks
20th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), May 2012 (talk)
Wehrl, H., Lankes, K., Hossain, M., Bezrukov, I., Liu, C., Martirosian, P., Reischl, G., Schick, F., Pichler, B.
A new PET insert for simultaneous PET/MR small animal imaging
20th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), May 2012 (talk)
Hossain, M., Wehrl, H., Lankes, K., Liu, C., Bezrukov, I., Reischl, G., Pichler, B.
Evaluation of a new, large field of view, small animal PET/MR system
50. Jahrestagung der Deutschen Gesellschaft fuer Nuklearmedizin (NuklearMedizin), April 2012 (talk)
Toussaint, M., Storkey, A., Harmeling, S.
Expectation-Maximization methods for solving (PO)MDPs and optimal control problems
In Inference and Learning in Dynamic Models, (Editors: Barber, D., Cemgil, A.T. and Chiappa, S.), Cambridge University Press, Cambridge, UK, January 2012 (inbook) In press
Bruzzone, L., Persello, C., Demir, B.
Active Learning Methods in Classification of Remote Sensing Images
In Signal and Image Processing for Remote Sensing, (Editors: CH Chen), CRC Press, Boca Raton, FL, USA, January 2012 (inbook) In press
Wehrl, H., Hossain, M., Lankes, K., Liu, C., Bezrukov, I., Martirosian, P., Reischl, G., Schick, F., Pichler, B.
Simultaneous small animal PET/MR reveals different brain networks during stimulation and rest
World Molecular Imaging Congress (WMIC), 2012 (talk)
Muandet, K.
Support Measure Machines for Quasar Target Selection
Astro Imaging Workshop, 2012 (talk)
Seldin, Y.
PAC-Bayesian Analysis: A Link Between Inference and Statistical Physics
Workshop on Statistical Physics of Inference and Control Theory, 2012 (talk)
Liu, C., Hossain, M., Lankes, K., Bezrukov, I., Wehrl, H., Kolb, A., Judenhofer, M., Pichler, B.
PET Performance Measurements of a Next Generation Dedicated Small Animal PET/MR Scanner
Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC), 2012 (talk)
Habeck, M.
Inferential structure determination from NMR data
In Bayesian methods in structural bioinformatics, pages: 287-312, (Editors: Hamelryck, T., Mardia, K. V. and Ferkinghoff-Borg, J.), Springer, New York, 2012 (inbook)
Sigaud, O., Peters, J.
Robot Learning
In Encyclopedia of the sciences of learning, (Editors: Seel, N.M.), Springer, Berlin, Germany, 2012 (inbook)
Kober, J., Peters, J.
Reinforcement Learning in Robotics: A Survey
In Reinforcement Learning, 12, pages: 579-610, (Editors: Wiering, M. and Otterlo, M.), Springer, Berlin, Germany, 2012 (inbook)
Seldin, Y., Laviolette, F., Shawe-Taylor, J.
PAC-Bayesian Analysis of Supervised, Unsupervised, and Reinforcement Learning
Tutorial at the 29th International Conference on Machine Learning (ICML), 2012 (talk)
Bezrukov, I., Schmidt, H., Mantlik, F., Schwenzer, N., Brendle, C., Pichler, B.
Influence of MR-based attenuation correction on lesions within bone and susceptibility artifact regions
Molekulare Bildgebung (MoBi), 2012 (talk)
Boularias, A., Kroemer, O., Peters, J.
Structured Apprenticeship Learning
European Workshop on Reinforcement Learning (EWRL), 2012 (talk)
Seldin, Y., Laviolette, F., Shawe-Taylor, J.
PAC-Bayesian Analysis and Its Applications
Tutorial at The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2012 (talk)
Langs, G., Rish, I., Grosse-Wentrup, M., Murphy, B.
Machine Learning and Interpretation in Neuroimaging - Revised Selected and Invited Contributions
pages: 266, Springer, Heidelberg, Germany, International Workshop, MLINI, Held at NIPS, 2012, Lecture Notes in Computer Science, Vol. 7263 (proceedings)
Deisenroth, M., Peters, J.
Solving Nonlinear Continuous State-Action-Observation POMDPs for Mechanical Systems with Gaussian Noise
European Workshop on Reinforcement Learning (EWRL), 2012 (talk)
Nishiyama, Y., Boularias, A., Gretton, A., Fukumizu, K.
Kernel Bellman Equations in POMDPs
Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML'12), 2012 (talk)
Schultz, T., Fuster, A., Ghosh, A., Deriche, R., Florack, L., Lim, L.
Higher-Order Tensors in Diffusion MRI
In Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, (Editors: Westin, C. F., Vilanova, A. and Burgeth, B.), Springer, 2012 (inbook) Accepted
Panagiotaki, E., O’Donnell, L., Schultz, T., Zhang, G.
MICCAI, Workshop on Computational Diffusion MRI, 2012 (electronic publication)
15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Workshop on Computational Diffusion MRI , 2012 (proceedings)
Panagiotaropoulos, T., Besserve, M., Logothetis, N.
Beta oscillations propagate as traveling waves in the macaque prefrontal cortex
42nd Annual Meeting of the Society for Neuroscience (Neuroscience), 2012 (talk)
Bousquet, O.
Transductive Learning: Motivation, Models, Algorithms
January 2002 (talk)