Gretton, A., Hennig, P., Rasmussen, C., Schölkopf, B.
New Directions for Learning with Kernels and Gaussian Processes (Dagstuhl Seminar 16481)
Dagstuhl Reports, 6(11):142-167, 2017 (book)
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)
Wallis, T. S. A., Funke, C. M., Ecker, A. S., Gatys, L. A., Wichmann, F. A., Bethge, M.
A parametric texture model based on deep convolutional features closely matches texture appearance for humans
Journal of Vision, 17(12), 2017 (article)
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)
Emde, T.
Development and Evaluation of a Portable BCI System for Remote Data Acquisition
Graduate School of Neural Information Processing, Eberhard Karls Universität Tübingen, Germany, 2017 (mastersthesis)
Fomina, T.
Brain-Computer Interfaces for patients with Amyotrophic Lateral Sclerosis
Eberhard Karls Universität Tübingen, Germany, 2017 (phdthesis)
Huang, T., Peng, H., Zhang, K.
Model Selection for Gaussian Mixture Models
Statistica Sinica, 27(1):147-169, 2017 (article)
Bousquet, O., Gelly, S., Tolstikhin, I., Simon-Gabriel, C. J., Schölkopf, B.
From Optimal Transport to Generative Modeling: the VEGAN cookbook
2017 (techreport)
Schütt, H. H., Wichmann, F. A.
An image-computable psychophysical spatial vision model
Journal of Vision, 17(12), 2017 (article)
Wichmann, F. A., Janssen, D. H. J., Geirhos, R., Aguilar, G., Schütt, H. H., Maertens, M., Bethge, M.
Methods and measurements to compare men against machines
Electronic Imaging, pages: 36-45(10), 2017 (article)
Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N. K., Besserve, M.
Generalized phase locking analysis of electrophysiology data
ESI Systems Neuroscience Conference (ESI-SyNC 2017): Principles of Structural and Functional Connectivity, 2017 (poster)
Kroemer, O., Peters, J.
A Comparison of Autoregressive Hidden Markov Models for Multimodal Manipulations With Variable Masses
IEEE Robotics and Automation Letters, 2(2):1101-1108, 2017 (article)
Maeda, G., Ewerton, M., Neumann, G., Lioutikov, R., Peters, J.
Phase Estimation for Fast Action Recognition and Trajectory Generation in Human-Robot Collaboration
International Journal of Robotics Research, 36(13-14):1579-1594, 2017, Special Issue on the Seventeenth International Symposium on Robotics Research (article)
Geiger, P.
Causal models for decision making via integrative inference
University of Stuttgart, Germany, 2017 (phdthesis)
Chen, J., Hirsch, M., Heintzmann, R., Eberhardt, B., Lensch, H. P. A.
A Phase-coded Aperture Camera with Programmable Optics
Electronic Imaging, 2017(17):70-75, 2017 (article)
Jayaram, V., Hohmann, M., Just, J., Schölkopf, B., Grosse-Wentrup, M.
Task-induced frequency modulation features for brain-computer interfacing
Journal of Neural Engineering, 14(5):056015, 2017 (article)
Fomina, T., Weichwald, S., Synofzik, M., Just, J., Schöls, L., Schölkopf, B., Grosse-Wentrup, M.
Absence of EEG correlates of self-referential processing depth in ALS
PLOS ONE, 12(6):e0180136, 2017 (article)
Gresele, L., Marsili, M.
On Maximum Entropy and Inference
Entropy, 19(12):article no. 642, 2017 (article)
Ivaldi, S., Lefort, S., Peters, J., Chetouani, M., Provasi, J., Zibetti, E.
Towards Engagement Models that Consider Individual Factors in HRI: On the Relation of Extroversion and Negative Attitude Towards Robots to Gaze and Speech During a Human-Robot Assembly Task
International Journal of Social Robotics, 9(1):63-86, 2017 (article)
van Hoof, H., Neumann, G., Peters, J.
Non-parametric Policy Search with Limited Information Loss
Journal of Machine Learning Research , 18(73):1-46, 2017 (article)
Vinogradska, J., Bischoff, B., Nguyen-Tuong, D., Peters, J.
Stability of Controllers for Gaussian Process Dynamics
Journal of Machine Learning Research, 18(100):1-37, 2017 (article)
Sücker, K.
Learning Optimal Configurations for Modeling Frowning by Transcranial Electrical Stimulation
Graduate School of Neural Information Processing, Eberhard Karls Universität Tübingen, Germany, 2017 (mastersthesis)
Seith, F., Schmidt, H., Gatidis, S., Bezrukov, I., Schraml, C., Pfannenberg, C., la Fougère, C., Nikolaou, K., Schwenzer, N.
SUV-quantification of physiological lung tissue in an integrated PET/MR-system: Impact of lung density and bone tissue
PLOS ONE, 12(5):1-13, 2017 (article)
Rakitsch, Barbara
Modeling the polygenic architecture of complex traits
Eberhard Karls Universität Tübingen, November 2014 (phdthesis)
Kiefel, M., Gehler, P.
Human Pose Estimation with Fields of Parts
In Computer Vision – ECCV 2014, LNCS 8693, pages: 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 (inproceedings)
Kiefel, M., Schuler, C., Hennig, P.
Probabilistic Progress Bars
In Conference on Pattern Recognition (GCPR), 8753, pages: 331-341, Lecture Notes in Computer Science, (Editors: Jiang, X., Hornegger, J., and Koch, R.), Springer, GCPR, September 2014 (inproceedings)
Pickup, L., Zheng, P., Donglai, W., YiChang, S., Changshui, Z., Zisserman, A., Schölkopf, B., Freeman, W.
Seeing the Arrow of Time
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, pages: 2043-2050, IEEE, CVPR, June 2014 (conference)
Hennig, P., Hauberg, S.
Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics
In Proceedings of the 17th International Conference on Artificial Intelligence and Statistics, 33, pages: 347-355, JMLR: Workshop and Conference Proceedings, (Editors: S Kaski and J Corander), Microtome Publishing, Brookline, MA, AISTATS, April 2014 (inproceedings)
Schuler, C., Hirsch, M., Harmeling, S., Schölkopf, B.
Method and device for blind correction of optical aberrations in a digital image
International Patent Application, No. PCT/EP2012/068868, April 2014 (patent)
Hermann, M., Schunke, A., Schultz, T., Klein, R.
A Visual Analytics Approach to Study Anatomic Covariation
In Proceedings of IEEE Pacific Visualization 2014, pages: 161-168, March 2014 (inproceedings)
Gerber, P., Schlaffke, L., Heba, S., Greenlee, M., Schultz, T., Schmidt-Wilcke, T.
Juggling revisited — A voxel based morphometry study with expert jugglers
NeuroImage, 95, pages: 320-325, 2014 (article)
Bensch, M., Martens, S., Halder, S., Hill, J., Nijboer, F., Ramos, A., Birbaumer, N., Bodgan, M., Kotchoubey, B., Rosenstiel, W., Schölkopf, B., Gharabaghi, A.
Assessing attention and cognitive function in completely locked-in state with event-related brain potentials and epidural electrocorticography
Journal of Neural Engineering, 11(2):026006, 2014 (article)
Peters, J., Bühlman, P.
Identifiability of Gaussian Structural Equation Models with Equal Error Variances
Biometrika, 101(1):219-228, 2014 (article)
Ramirez-Villegas, J. F., Logothetis, N. K., Besserve, M.
Dynamical source analysis of hippocampal sharp-wave ripple episodes
Bernstein Conference, 2014 (poster)
Fründ, I., Wichmann, F., Macke, J.
Quantifying the effect of intertrial dependence on perceptual decisions
Journal of Vision, 14(7):1-16, 2014 (article)
Altobelli, N., Lopez-Paz, D., Pilorz, S., Spilker, L., Morishima, R., Brooks, S., Leyrat, C., Deau, E., Edgington, S., Flandes, A.
Two numerical models designed to reproduce Saturn ring temperatures as measured by Cassini-CIRS
Icarus, 238(0):205 - 220, 2014 (article)
Kober, J., Peters, J.
Learning Motor Skills: From Algorithms to Robot Experiments
97, pages: 191, Springer Tracts in Advanced Robotics, Springer, 2014 (book)
Sugiyama, M., Azencott, C., Grimm, D., Kawahara, Y., Borgwardt, K.
Multi-Task Feature Selection on Multiple Networks via Maximum Flows
In Proceedings of the 2014 SIAM International Conference on Data Mining , pages: 199-207, SIAM, 2014 (inproceedings)
Gomez Rodriguez, M., Gummadi, K., Schölkopf, B.
Quantifying Information Overload in Social Media and its Impact on Social Contagions
In Proceedings of the Eighth International Conference on Weblogs and Social Media, pages: 170-179, (Editors: E. Adar, P. Resnick, M. De Choudhury, B. Hogan, and A. Oh), AAAI Press, ICWSM, 2014 (inproceedings)
Daneshmand, H., Gomez Rodriguez, M., Song, L., Schölkopf, B.
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm
In Proceedings of the 31st International Conference on Machine Learning, W&CP 32 (1), pages: 793-801, (Editors: Eric P. Xing and Tony Jebara), JMLR, ICML, 2014 (inproceedings)
Ben Amor, H., Neumann, G., Kamthe, S., Kroemer, O., Peters, J.
Interaction Primitives for Human-Robot Cooperation Tasks
In Proceedings of 2014 IEEE International Conference on Robotics and Automation, pages: 2831-2837, IEEE, ICRA, 2014 (inproceedings)
Kroemer, O., van Hoof, H., Neumann, G., Peters, J.
Learning to Predict Phases of Manipulation Tasks as Hidden States
In Proceedings of 2014 IEEE International Conference on Robotics and Automation, pages: 4009-4014, IEEE, ICRA, 2014 (inproceedings)
Wiens, V., Schlaffke, L., Schmidt-Wilcke, T., Schultz, T.
Visualizing Uncertainty in HARDI Tractography Using Superquadric Streamtubes
In Eurographics Conference on Visualization, Short Papers, (Editors: Elmqvist, N. and Hlawitschka, M. and Kennedy, J.), EuroVis, 2014 (inproceedings)
Doran, G., Muandet, K., Zhang, K., Schölkopf, B.
A Permutation-Based Kernel Conditional Independence Test
In Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI2014), pages: 132-141, (Editors: Nevin L. Zhang and Jin Tian), AUAI Press Corvallis, Oregon, UAI2014, 2014 (inproceedings)
Argyriou, A., Dinuzzo, F.
A unifying view of representer theorems
In Proceedings of the 31th International Conference on Machine Learning, 32, pages: 748-756, (Editors: Xing, E. P. and Jebera, T.), ICML, 2014 (inproceedings)
Cherian, A., Sra, S.
Riemannian Sparse Coding for Positive Definite Matrices
In 13th European Conference on Computer Vision, LNCS 8691, pages: 299-314, (Editors: Fleet, D., Pajdla, T., Schiele, B., and Tuytelaars, T.), Springer, ECCV, 2014 (inproceedings)
Schober, M., Duvenaud, D., Hennig, P.
Probabilistic ODE Solvers with Runge-Kutta Means
In Advances in Neural Information Processing Systems 27, pages: 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 (inproceedings)
Köhler, R., Schuler, C., Schölkopf, B., Harmeling, S.
Mask-Specific Inpainting with Deep Neural Networks
In Pattern Recognition (GCPR 2014), pages: 523-534, (Editors: X Jiang, J Hornegger, and R Koch), Springer, 2014, Lecture Notes in Computer Science (inproceedings)