Institute Homepage
Institute Homepage Sign In

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 Conference Paper Causal Discovery Using Proxy Variables Rojas-Carulla, M., Baroni, M., Lopez-Paz, D. Workshop at 6th International Conference on Learning Representations (ICLR), May 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Fidelity-Weighted Learning Dehghani, M., Mehrjou, A., Gouws, S., Kamps, J., Schölkopf, B. 6th International Conference on Learning Representations (ICLR), May 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives Lioutikov, R., Maeda, G., Veiga, F., Kersting, K., Peters, J. IEEE International Conference on Robotics and Automation, (ICRA), :1-8, IEEE, May 2018 (Published) DOI BibTeX
Empirical Inference Conference Paper Learning Coupled Forward-Inverse Models with Combined Prediction Errors Koert, D., Maeda, G., Neumann, G., Peters, J. IEEE International Conference on Robotics and Automation, (ICRA), :2433-2439, IEEE, May 2018 (Published) DOI BibTeX
Empirical Inference Conference Paper Learning Disentangled Representations with Wasserstein Auto-Encoders Rubenstein, P. K., Schölkopf, B., Tolstikhin, I. Workshop at the 6th International Conference on Learning Representations (ICLR), May 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning Eysenbach, B., Gu, S., Ibarz, J., Levine, S. 6th International Conference on Learning Representations (ICLR), May 2018 (Published) Videos URL BibTeX
Empirical Inference Conference Paper Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences Pinsler, R., Akrour, R., Osa, T., Peters, J., Neumann, G. IEEE International Conference on Robotics and Automation, (ICRA), :596-601, IEEE, May 2018 (Published) DOI BibTeX
Empirical Inference Conference Paper Sobolev GAN Mroueh, Y., Li*, C., Sercu*, T., Raj*, A., Cheng, Y. 6th International Conference on Learning Representations (ICLR), May 2018, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Tempered Adversarial Networks Sajjadi, M. S. M., Parascandolo, G., Mehrjou, A., Schölkopf, B. Workshop at the 6th International Conference on Learning Representations (ICLR), May 2018 (Published) arXiv BibTeX
Empirical Inference Conference Paper Temporal Difference Models: Model-Free Deep RL for Model-Based Control Pong*, V., Gu*, S., Dalal, M., Levine, S. 6th International Conference on Learning Representations (ICLR), May 2018, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Wasserstein Auto-Encoders Tolstikhin, I., Bousquet, O., Gelly, S., Schölkopf, B. 6th International Conference on Learning Representations (ICLR), May 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Wasserstein Auto-Encoders: Latent Dimensionality and Random Encoders Rubenstein, P. K., Schölkopf, B., Tolstikhin, I. Workshop at the 6th International Conference on Learning Representations (ICLR), May 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Boosting Variational Inference: an Optimization Perspective Locatello, F., Khanna, R., Ghosh, J., Rätsch, G. Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 84:464-472, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, April 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Cause-Effect Inference by Comparing Regression Errors Blöbaum, P., Janzing, D., Washio, T., Shimizu, S., Schölkopf, B. Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS) , 84:900-909, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, April 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Group invariance principles for causal generative models Besserve, M., Shajarisales, N., Schölkopf, B., Janzing, D. Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 84:557-565, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, April 2018 (Published) URL BibTeX
Empirical Inference Article Mixture of Attractors: A Novel Movement Primitive Representation for Learning Motor Skills From Demonstrations Manschitz, S., Gienger, M., Kober, J., Peters, J. IEEE Robotics and Automation Letters, 3(2):926-933, April 2018 (Published) DOI BibTeX
Empirical Inference Article Probabilistic movement primitives under unknown system dynamics Paraschos, A., Rueckert, E., Peters, J., Neumann, G. Advanced Robotics, 32(6):297-310, April 2018 () DOI BibTeX
Empirical Inference Article A kernel-based approach to learning contact distributions for robot manipulation tasks Kroemer, O., Leischnig, S., Luettgen, S., Peters, J. Autonomous Robots, 42(3):581-600, March 2018 (Published) DOI BibTeX
Empirical Inference Article An Algorithmic Perspective on Imitation Learning Osa, T., Pajarinen, J., Neumann, G., Bagnell, J., Abbeel, P., Peters, J. Foundations and Trends in Robotics, 7(1-2):1-179, March 2018 (Published) DOI BibTeX
Empirical Inference Poster Representation of sensory uncertainty in macaque visual cortex Goris, R., Henaff, O., Meding, K. Computational and Systems Neuroscience (COSYNE), March 2018 (Published) BibTeX
Empirical Inference Article Using Probabilistic Movement Primitives in Robotics Paraschos, A., Daniel, C., Peters, J., Neumann, G. Autonomous Robots, 42(3):529-551, March 2018 (Published) DOI BibTeX
Empirical Inference Conference Paper Will People Like Your Image? Learning the Aesthetic Space Schwarz, K., Wieschollek, P., Lensch, H. P. A. 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), :2048-2057, March 2018 (Published) DOI BibTeX
Empirical Inference Conference Paper Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation Kim, J., Tabibian, B., Oh, A., Schölkopf, B., Gomez Rodriguez, M. Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM), :324-332, (Editors: Yi Chang, Chengxiang Zhai, Yan Liu, and Yoelle Maarek), ACM, February 2018 (Published) DOI BibTeX
Empirical Inference Article Approximate Value Iteration Based on Numerical Quadrature Vinogradska, J., Bischoff, B., Peters, J. IEEE Robotics and Automation Letters, 3(2):1330-1337, January 2018 (Published) DOI BibTeX
Empirical Inference Article Biomimetic Tactile Sensors and Signal Processing with Spike Trains: A Review Yi, Z., Zhang, Y., Peters, J. Sensors and Actuators A: Physical, 269:41-52, January 2018 (Published) DOI BibTeX
Empirical Inference Ph.D. Thesis A machine learning approach to taking EEG-based computer interfaces out of the lab Jayaram, V. Graduate Training Centre of Neuroscience, IMPRS, Eberhard Karls Universität Tübingen, Germany, 2018 (Published) BibTeX
Empirical Inference Master Thesis A Causal Perspective on Deep Representation Learning Suter, R. ETH Zurich, 2018 (Published) BibTeX
Empirical Inference Master Thesis A virtual reality environment for experiments in assistive robotics and neural interfaces Bustamante, S. Graduate School of Neural Information Processing, Eberhard Karls Universität Tübingen, Germany, 2018 (Published) PDF BibTeX
Empirical Inference Conference Paper Adversarial Extreme Multi-label Classification Babbar, R., Schölkopf, B. 2018, Submitted (Submitted) BibTeX
Empirical Inference Article Autofocusing-based phase correction Loktyushin, A., Ehses, P., Schölkopf, B., Scheffler, K. Magnetic Resonance in Medicine, 80(3):958-968, 2018 (Published) DOI BibTeX
Empirical Inference Article Automatic Human Sleep Stage Scoring Using Deep Neural Networks Malafeev, A., Laptev, D., Bauer, S., Omlin, X., Wierzbicka, A., Wichniak, A., Jernajczyk, W., Riener, R., Buhmann, J., Achermann, P. Frontiers in Neuroscience, 12:article no. 781, 2018 (Published) DOI URL BibTeX
Empirical Inference Article Case series: Slowing alpha rhythm in late-stage ALS patients Hohmann, M. R., Fomina, T., Jayaram, V., Emde, T., Just, J., Synofzik, M., Schölkopf, B., Schöls, L., Grosse-Wentrup, M. Clinical Neurophysiology, 129(2):406-408, 2018 (Published) DOI BibTeX
Probabilistic Numerics Empirical Inference Article Counterfactual Mean Embedding: A Kernel Method for Nonparametric Causal Inference Muandet, K., Kanagawa, M., Saengkyongam, S., Marukata, S. Arxiv e-prints, arXiv:1805.08845v1 [stat.ML], 2018 () arXiv BibTeX
Empirical Inference Conference Paper Denotational Validation of Higher-order Bayesian Inference Ścibior, A., Kammar, O., Vákár, M., Staton, S., Yang, H., Cai, Y., Ostermann, K., Moss, S. K., Heunen, C., Ghahramani, Z. Proceedings of the ACM on Programming Languages, Proceedings of the ACM on Principles of Programming Languages (POPL), 2(Article No. 60):1-29, ACM, 2018 (Published) DOI BibTeX
Empirical Inference Statistical Learning Theory Article Design and Analysis of the NIPS 2016 Review Process Shah*, N., Tabibian*, B., Muandet, K., Guyon, I., von Luxburg, U. Journal of Machine Learning Research, 19(49):1-34, 2018, *equal contribution (Published) arXiv URL BibTeX
Empirical Inference Miscellaneous Die kybernetische Revolution Schölkopf, B. S{\"u}ddeutsche Zeitung, 2018, (15-Mar-2018) (Published) URL BibTeX
Empirical Inference Article Discriminative Transfer Learning for General Image Restoration Xiao, L., Heide, F., Heidrich, W., Schölkopf, B., Hirsch, M. IEEE Transactions on Image Processing, 27(8):4091-4104, 2018 (Published) DOI BibTeX
Empirical Inference Article Dissecting the synapse- and frequency-dependent network mechanisms of in vivo hippocampal sharp wave-ripples Ramirez-Villegas, J. F., Willeke, K. F., Logothetis, N. K., Besserve, M. Neuron, 100(5):1224-1240, 2018 (Published) DOI URL BibTeX
Empirical Inference Ph.D. Thesis Distribution-Dissimilarities in Machine Learning Simon-Gabriel, C. J. Eberhard Karls Universität Tübingen, Germany, 2018 (Published) BibTeX
Empirical Inference Article Does universal controllability of physical systems prohibit thermodynamic cycles? Janzing, D., Wocjan, P. Open Systems and Information Dynamics, 25(3):article no. 1850016, 2018 (Published) PDF DOI BibTeX
Empirical Inference Master Thesis Domain Adaptation Under Causal Assumptions Lechner, T. Eberhard Karls Universität Tübingen, Germany, 2018 (Published) BibTeX
Empirical Inference Article Electrophysiological correlates of neurodegeneration in motor and non-motor brain regions in amyotrophic lateral sclerosis—implications for brain–computer interfacing Kellmeyer, P., Grosse-Wentrup, M., Schulze-Bonhage, A., Ziemann, U., Ball, T. Journal of Neural Engineering, 15(4):article no. 041003, IOP Publishing, 2018 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Entropic Regularization of Markov Decision Processes Belousov, B., Peters, J. 38th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, 2018 (Published) URL BibTeX
Empirical Inference Article Food specific inhibitory control under negative mood in binge-eating disorder: Evidence from a multimethod approach Leehr, E. J., Schag, K., Dresler, T., Grosse-Wentrup, M., Hautzinger, M., Fallgatter, A. J., Zipfel, S., Giel, K. E., Ehlis, A. International Journal of Eating Disorders, 51(2):112-123, Wiley Online Library, 2018 (Published) DOI BibTeX
Empirical Inference Conference Paper Functional Programming for Modular Bayesian Inference Ścibior, A., Kammar, O., Ghahramani, Z. Proceedings of the ACM on Programming Languages, Proceedings of the ACM on Functional Programming (ICFP), 2(Article No. 83):1-29, ACM, 2018 (Published) DOI BibTeX
Empirical Inference Poster Generalized phase locking analysis of electrophysiology data Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N. K., Besserve, M. 7th AREADNE Conference on Research in Encoding and Decoding of Neural Ensembles, 2018 (Published) URL BibTeX
Empirical Inference Article Grip Stabilization of Novel Objects using Slip Prediction Veiga, F., Peters, J., Hermans, T. IEEE Transactions on Haptics, 11(4):531-542, 2018 (Published) DOI BibTeX
Empirical Inference Article Hierarchical Reinforcement Learning of Multiple Grasping Strategies with Human Instructions Osa, T., Peters, J., Neumann, G. Advanced Robotics, 32(18):955-968, 2018 (Published) DOI BibTeX
Empirical Inference Master Thesis Improving Tissue Differentiation based on Optical Emission Spectroscopy for Guided Electrosurgical Tumor Resection with Machine Learning Zabel, S. Eberhard Karls Universität Tübingen, Germany, 2018 (Published) BibTeX
Empirical Inference Miscellaneous In-Hand Object Stabilization by Independent Finger Control Veiga, F. F., Edin, B. B., Peters, J. 2018 (Published) arXiv BibTeX