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 Probabilistic Movement Primitives for Coordination of Multiple Human-Robot Collaborative Tasks Maeda, G., Neumann, G., Ewerton, M., Lioutikov, R., Kroemer, O., Peters, J. Autonomous Robots, 41(3):593-612, March 2017 (Published) DOI BibTeX

Empirical Inference Conference Paper DiSMEC – Distributed Sparse Machines for Extreme Multi-label Classification Babbar, R., Schölkopf, B. Proceedings of the Tenth ACM International Conference on Web Search and Data Mining (WSDM), : 721-729, February 2017 (Published) DOI BibTeX

Empirical Inference Conference Paper Policy Search with High-Dimensional Context Variables Tangkaratt, V., van Hoof, H., Parisi, S., Neumann, G., Peters, J., Sugiyama, M. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI), :2632-2638, (Editors: Satinder P. Singh and Shaul Markovitch), AAAI Press, February 2017 (Published) URL BibTeX

Empirical Inference Article A Comparison of Autoregressive Hidden Markov Models for Multimodal Manipulations With Variable Masses Kroemer, O., Peters, J. IEEE Robotics and Automation Letters, 2(2):1101-1108, 2017 (Published) DOI BibTeX

Empirical Inference Article A Novel Unsupervised Segmentation Approach Quantifies Tumor Tissue Populations Using Multiparametric MRI: First Results with Histological Validation Katiyar, P., Divine, M. R., Kohlhofer, U., Quintanilla-Martinez, L., Schölkopf, B., Pichler, B. J., Disselhorst, J. A. Molecular Imaging and Biology, 19(3):391-397, 2017 (Published) DOI BibTeX

Empirical Inference Article A Phase-coded Aperture Camera with Programmable Optics Chen, J., Hirsch, M., Heintzmann, R., Eberhardt, B., Lensch, H. P. A. Electronic Imaging, 2017(17):70-75, 2017 (Published) DOI BibTeX

Empirical Inference Article A parametric texture model based on deep convolutional features closely matches texture appearance for humans Wallis, T. S. A., Funke, C. M., Ecker, A. S., Gatys, L. A., Wichmann, F. A., Bethge, M. Journal of Vision, 17(12):5, 2017 (Published) DOI BibTeX

Empirical Inference Article Absence of EEG correlates of self-referential processing depth in ALS Fomina, T., Weichwald, S., Synofzik, M., Just, J., Schöls, L., Schölkopf, B., Grosse-Wentrup, M. PLOS ONE, 12(6):article no. e0180136, 2017 (Published) PDF DOI BibTeX

Empirical Inference Article An image-computable psychophysical spatial vision model Schütt, H. H., Wichmann, F. A. Journal of Vision, 17(12):12, 2017 (Published) DOI BibTeX

Empirical Inference Autonomous Motion Article Anticipatory Action Selection for Human-Robot Table Tennis Wang, Z., Boularias, A., Mülling, K., Schölkopf, B., Peters, J. Artificial Intelligence, 247:399-414, 2017, Special Issue on AI and Robotics (Published) DOI BibTeX

Empirical Inference Conference Paper BIMROB - Bidirectional Interaction between human and robot for the learning of movements - Robot trains human - Human trains robot Kollegger, G., Wiemeyer, J., Ewerton, M., Peters, J. In Inovation & Technologie im Sport - 23. Sportwissenschaftlicher Hochschultag der deutschen Vereinigung für Sportwissenschaft, :179, (Editors: A. Schwirtz, F. Mess, Y. Demetriou & V. Senner ), Czwalina-Feldhaus, 2017 (Published) BibTeX

Empirical Inference Conference Paper BIMROB – Bidirektionale Interaktion von Mensch und Roboter beim Bewegungslernen Wiemeyer, J., Peters, J., Kollegger, G., Ewerton, M. DVS Sportmotorik 2017, 2017 (Published) URL BibTeX

Empirical Inference Ph.D. Thesis Brain-Computer Interfaces for patients with Amyotrophic Lateral Sclerosis Fomina, T. Eberhard Karls Universität Tübingen, Germany, 2017 (Published) BibTeX

Empirical Inference Article BundleMAP: Anatomically Localized Classification, Regression, and Hypothesis Testing in Diffusion MRI Khatami, M., Schmidt-Wilcke, T., Sundgren, P. C., Abbasloo, A., Schölkopf, B., Schultz, T. Pattern Recognition, 63:593-600, 2017 (Published) DOI BibTeX

Empirical Inference Ph.D. Thesis Causal models for decision making via integrative inference Geiger, P. University of Stuttgart, Germany, 2017 (Published) BibTeX

Empirical Inference Article Comparing sensitivity estimates from MLDS and forced-choice methods in a slant-from-texture experiment Aguilar, G., Wichmann, F. A., Maertens, M. Journal of Vision, 17(1):37, 2017 (Published) DOI BibTeX

Empirical Inference Article Detecting Confounding in Multivariate Linear Models via Spectral Analysis Janzing, D., Schölkopf, B. Journal of Causal Inference, 6(1):article no. 20170013, 2017 (Published) DOI BibTeX

Empirical Inference Article Detecting distortions of peripherally presented letter stimuli under crowded conditions Wallis, T. S. A., Tobias, S., Bethge, M., Wichmann, F. A. Attention, Perception, & Psychophysics, 79(3):850-862, 2017 (Published) DOI BibTeX

Empirical Inference Master Thesis Development and Evaluation of a Portable BCI System for Remote Data Acquisition Emde, T. Graduate School of Neural Information Processing, Eberhard Karls Universität Tübingen, Germany, 2017 (Published) BibTeX

Empirical Inference Article Electroencephalographic identifiers of motor adaptation learning Ozdenizci, O., Yalcin, M., Erdogan, A., Patoglu, V., Grosse-Wentrup, M., Cetin, M. Journal of Neural Engineering, 14(4):article no. 046027, 2017 (Published) URL BibTeX

Empirical Inference Book Elements of Causal Inference - Foundations and Learning Algorithms Peters, J., Janzing, D., Schölkopf, B. Adaptive Computation and Machine Learning Series, The MIT Press, Cambridge, MA, USA, 2017 (Published) PDF URL BibTeX

Empirical Inference Miscellaneous From Optimal Transport to Generative Modeling: the VEGAN cookbook Bousquet, O., Gelly, S., Tolstikhin, I., Simon-Gabriel, C. J., Schölkopf, B. 2017 (Published) arXiv follow-up paper BibTeX

Empirical Inference Poster Generalized phase locking analysis of electrophysiology data Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N. K., Besserve, M. ESI Systems Neuroscience Conference (ESI-SyNC 2017): Principles of Structural and Functional Connectivity, 2017 (Published) BibTeX

Empirical Inference Conference Paper Iterative Feedback-basierte Korrekturstrategien beim Bewegungslernen von Mensch-Roboter-Dyaden Ewerton, M., Kollegger, G., Maeda, G., Wiemeyer, J., Peters, J. In DVS Sportmotorik 2017, 2017 (Published) URL BibTeX

Empirical Inference Article Kernel Mean Embedding of Distributions: A Review and Beyond Muandet, K., Fukumizu, K., Sriperumbudur, B., Schölkopf, B. Foundations and Trends in Machine Learning, 10(1-2):1-141, 2017 () DOI BibTeX

Empirical Inference Master Thesis Learning Optimal Configurations for Modeling Frowning by Transcranial Electrical Stimulation Sücker, K. Graduate School of Neural Information Processing, Eberhard Karls Universität Tübingen, Germany, 2017 (Published) BibTeX

Empirical Inference Article Manifold-based multi-objective policy search with sample reuse Parisi, S., Pirotta, M., Peters, J. Neurocomputing, 263:3-14, (Editors: Madalina Drugan, Marco Wiering, Peter Vamplew, and Madhu Chetty), 2017, Special Issue on Multi-Objective Reinforcement Learning (Published) DOI BibTeX

Empirical Inference Article Methods and measurements to compare men against machines Wichmann, F. A., Janssen, D. H. J., Geirhos, R., Aguilar, G., Schütt, H. H., Maertens, M., Bethge, M. Electronic Imaging, :36-45(10), 2017 (Published) DOI BibTeX

Empirical Inference Article Minimax Estimation of Kernel Mean Embeddings Tolstikhin, I., Sriperumbudur, B., Muandet, K. Journal of Machine Learning Research, 18(86):1-47, 2017 (Published) URL BibTeX

Empirical Inference Article Model Selection for Gaussian Mixture Models Huang, T., Peng, H., Zhang, K. Statistica Sinica, 27(1):147-169, 2017 (Published) URL BibTeX

Empirical Inference Article Model-based Contextual Policy Search for Data-Efficient Generalization of Robot Skills Kupcsik, A., Deisenroth, M., Peters, J., Ai Poh, L., Vadakkepat, V., Neumann, G. Artificial Intelligence, 247:415-439, 2017, Special Issue on AI and Robotics (Published) DOI URL BibTeX

Empirical Inference Probabilistic Numerics Article New Directions for Learning with Kernels and Gaussian Processes (Dagstuhl Seminar 16481) Gretton, A., Hennig, P., Rasmussen, C., Schölkopf, B. Dagstuhl Reports, 6(11):142-167, 2017 (Published) DOI BibTeX

Empirical Inference Article Non-parametric Policy Search with Limited Information Loss van Hoof, H., Neumann, G., Peters, J. Journal of Machine Learning Research , 18(73):1-46, 2017 (Published) URL BibTeX

Empirical Inference Article On Maximum Entropy and Inference Gresele, L., Marsili, M. Entropy, 19(12):article no. 642, 2017 (Published) URL BibTeX

Empirical Inference Article Phase Estimation for Fast Action Recognition and Trajectory Generation in Human-Robot Collaboration Maeda, G., Ewerton, M., Neumann, G., Lioutikov, R., Peters, J. International Journal of Robotics Research, 36(13-14):1579-1594, 2017, Special Issue on the Seventeenth International Symposium on Robotics Research (Published) DOI BibTeX

Empirical Inference Book Chapter Policy Gradient Methods Peters, J., Bagnell, J. In Encyclopedia of Machine Learning and Data Mining, :982-985, 2nd, (Editors: Sammut, Claude and Webb, Geoffrey I.), Springer US, 2017 (Published) URL BibTeX

Empirical Inference Article Prediction of intention during interaction with iCub with Probabilistic Movement Primitives Dermy, O., Paraschos, A., Ewerton, M., Charpillet, F., Peters, J., Ivaldi, S. Frontiers in Robotics and AI, 4:45, 2017 (Published) DOI BibTeX

Empirical Inference Autonomous Motion Book Chapter Robot Learning Peters, J., Lee, D., Kober, J., Nguyen-Tuong, D., Bagnell, J., Schaal, S. In Springer Handbook of Robotics, :357-394, 15, 2nd, (Editors: Siciliano, Bruno and Khatib, Oussama), Springer International Publishing, 2017 (Published) BibTeX

Empirical Inference Book Chapter Robot Learning Peters, J., Tedrake, R., Roy, N., Morimoto, J. In Encyclopedia of Machine Learning and Data Mining, :1106-1109, 2nd, (Editors: Sammut, Claude and Webb, Geoffrey I.), Springer US, 2017 (Published) DOI BibTeX

Empirical Inference Article SUV-quantification of physiological lung tissue in an integrated PET/MR-system: Impact of lung density and bone tissue Seith, F., Schmidt, H., Gatidis, S., Bezrukov, I., Schraml, C., Pfannenberg, C., la Fougère, C., Nikolaou, K., Schwenzer, N. PLOS ONE, 12(5):1-13, 2017 (Published) DOI BibTeX

Empirical Inference Article Spectral Clustering predicts tumor tissue heterogeneity using dynamic 18F-FDG PET: a complement to the standard compartmental modeling approach Katiyar, P., Divine, M. R., Kohlhofer, U., Quintanilla-Martinez, L., Schölkopf, B., Pichler, B. J., Disselhorst, J. A. Journal of Nuclear Medicine, 58(4):651-657, 2017 (Published) DOI URL BibTeX

Empirical Inference Article Stability of Controllers for Gaussian Process Dynamics Vinogradska, J., Bischoff, B., Nguyen-Tuong, D., Peters, J. Journal of Machine Learning Research, 18(100):1-37, 2017 (Published) URL BibTeX

Empirical Inference Book Chapter Statistical Asymmetries Between Cause and Effect Janzing, D. In Time in Physics, :129-139, Tutorials, Schools, and Workshops in the Mathematical Sciences, (Editors: Renner, Renato and Stupar, Sandra), Springer International Publishing, Cham, 2017 (Published) DOI URL BibTeX

Empirical Inference Article Task-induced frequency modulation features for brain-computer interfacing Jayaram, V., Hohmann, M., Just, J., Schölkopf, B., Grosse-Wentrup, M. Journal of Neural Engineering, 14(5):article no. 056015, 2017 () URL BibTeX

Empirical Inference Article Temporal evolution of the central fixation bias in scene viewing Rothkegel, L. O. M., Trukenbrod, H. A., Schütt, H. H., Wichmann, F. A., Engbert, R. Journal of Vision, 17(13):3, 2017 (Published) DOI BibTeX

Empirical Inference Article 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 Ivaldi, S., Lefort, S., Peters, J., Chetouani, M., Provasi, J., Zibetti, E. International Journal of Social Robotics, 9(1):63-86, 2017 (Published) DOI BibTeX

Empirical Inference Book Chapter Unsupervised clustering of EOG as a viable substitute for optical eye-tracking Flad, N., Fomina, T., Bülthoff, H. H., Chuang, L. L. In First Workshop on Eye Tracking and Visualization (ETVIS 2015), :151-167, Mathematics and Visualization, (Editors: Burch, M., Chuang, L., Fisher, B., Schmidt, A., and Weiskopf, D.), Springer, 2017 (Published) DOI BibTeX