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Empirical Inference Ph.D. Thesis Learning Transferable Representations Rojas-Carulla, M. University of Cambridge, UK, February 2019 (Published) BibTeX
Empirical Inference Probabilistic Learning Group Conference Paper Automatic Bayesian Density Analysis Vergari, A., Molina, A., Peharz, R., Ghahramani, Z., Kersting, K., Valera, I. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-19), 33:01, :5207-5215, AAAI.org, AAAI-19, January 2019 (Published) arXiv DOI BibTeX
Empirical Inference Miscellaneous ABCDP: Approximate Bayesian Computation Meets Differential Privacy Park, M., Jitkrittum, W. 2019, Submitted (Submitted) arXiv BibTeX
Empirical Inference Ph.D. Thesis Advances in Probabilistic Modelling: Sparse Gaussian Processes, Autoencoders, and Few-shot Learning Bauer, M. University of Cambridge, UK, 2019 (Published) BibTeX
Empirical Inference Article Analysis of cause-effect inference by comparing regression errors Blöbaum, P., Janzing, D., Washio, T., Shimizu, S., Schölkopf, B. PeerJ Computer Science, 5:e169, 2019 (Published) DOI BibTeX
Empirical Inference Article Brainglance: Visualizing Group Level MRI Data at One Glance Stelzer, J., Lacosse, E., Bause, J., Scheffler, K., Lohmann, G. Frontiers in Neuroscience, 13(972), 2019 (Published) DOI BibTeX
Empirical Inference Article Compatible natural gradient policy search Pajarinen, J., Thai, H. L., Akrour, R., Peters, J., Neumann, G. Machine Learning, 108(8):1443-1466, 2019 (Published) DOI BibTeX
Empirical Inference Probabilistic Numerics Article Dense connectomic reconstruction in layer 4 of the somatosensory cortex Motta, A., Berning, M., Boergens, K. M., Staffler, B., Beining, M., Loomba, S., Hennig, P., Wissler, H., Helmstaedter, M. Science, 366(6469):eaay3134, 2019 (Published) DOI BibTeX
Empirical Inference Article Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces Klus, S., Schuster, I., Muandet, K. Journal of Nonlinear Science, 30(1):283-315, 2019 (Published) DOI BibTeX
Empirical Inference Article Enhancing Human Learning via Spaced Repetition Optimization Tabibian, B., Upadhyay, U., De, A., Zarezade, A., Schölkopf, B., Gomez Rodriguez, M. Proceedings of the National Academy of Sciences, 116(10):3988-3993, National Academy of Sciences, 2019 (Published) DOI URL BibTeX
Empirical Inference Article Entropic Regularization of Markov Decision Processes Belousov, B., Peters, J. Entropy, 21(7):article no. 674, 2019 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Entropic Risk Measure in Policy Search Nass, D., Belousov, B., Peters, J. International Conference on Intelligent Robots and Systems (IROS), :1101-1106, 2019 (Published) DOI BibTeX
Empirical Inference Probabilistic Learning Group Article Fairness Constraints: A Flexible Approach for Fair Classification Zafar, M. B., Valera, I., Gomez-Rodriguez, M., Gummadi, K. P. Journal of Machine Learning Research, 20(75):1-42, 2019 (Published) URL BibTeX
Empirical Inference Conference Paper Feature extraction from the Hermitian manifold for Brain-Computer Interfaces Xu, J., Jayaram, V., Schölkopf, B., Grosse-Wentrup, M. 9th International IEEE/EMBS Conference on Neural Engineering (NER), :965-968, IEEE, 2019, In press (In press) DOI BibTeX
Empirical Inference Ph.D. Thesis Formally justified and modular Bayesian inference for probabilistic programs Ścibior*, A. University of Cambridge, UK, 2019 (Published) BibTeX
Empirical Inference Article How Cognitive Models of Human Body Experience Might Push Robotics Schürmann, T., Mohler, B. J., Peters, J., Beckerle, P. Frontiers in Neurorobotics, 13(14), 2019 (Published) DOI BibTeX
Empirical Inference Miscellaneous Identifying Causal Structure in Large-Scale Kinetic Systems Pfister, N., Bauer, S., Peters, J. 2019 (Published) URL BibTeX
Empirical Inference Article Inferring causation from time series with perspectives in Earth system sciences Runge, J., Bathiany, S., Bollt, E., Camps-Valls, G., Coumou, D., Deyle, E., Glymour, C., Kretschmer, M., Mahecha, M., Munoz-Mari, J., et al. Nature Communications, 10(1):article no. 2553, 2019 (Published) DOI BibTeX
Empirical Inference Conference Paper Information Gathering in Decentralized POMDPs by Policy Graph Improvement Lauri, M., Pajarinen, J., Peters, J. Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), :1143-1151, 2019 (Published) URL BibTeX
Empirical Inference Conference Paper Interactive Structure Robotic Repositioning of Vertical Elements in Man-Machine Collaborative Assembly through Vision-Based Tactile Sensing Wibranek, B., Belousov, B., Sadybakasov, A., Peters, J., Tessmann, O. Proceedings of the 37th eCAADe and 23rd SIGraDi Conference, 7(1):705-714, 2019 (Published) DOI URL BibTeX
Empirical Inference Miscellaneous Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer Architecture Tanneberg, D., Rueckert, E., Peters, J. 2019 (Published) arXiv BibTeX
Empirical Inference Article Learning Intention Aware Online Adaptation of Movement Primitives Koert, D., Pajarinen, J., Schotschneider, A., Trick, S., Rothkopf, C., Peters, J. IEEE Robotics and Automation Letters(RA-L), with presentation at the IEEE International Conference on Intelligent Robots and Systems (IROS), 4(4):3719-3726, 2019 (Published) DOI BibTeX
Empirical Inference Article Learning Replanning Policies With Direct Policy Search Brandherm, F., Peters, J., Neumann, G., Akrour, R. IEEE Robotics and Automation Letters (RA-L), 4(2):2196-2203, 2019 () DOI BibTeX
Empirical Inference Article Learning Trajectory Distributions for Assisted Teleoperation and Path Planning Ewerton, M., Arenz, O., Maeda, G., Koert, D., Kolev, Z., Takahashi, M., Peters, J. Frontiers in Robotics and AI, 6:89, 2019 (Published) DOI BibTeX
Empirical Inference Article Learning stable and predictive structures in kinetic systems Pfister, N., Bauer, S., Peters, J. Proceedings of the National Academy of Sciences (PNAS), 116(51):25405-25411, 2019 (Published) DOI BibTeX
Empirical Inference Article Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework Koc, O., Peters, J. IEEE Robotics and Automation Letters, 4(2):1784-1791, 2019 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Local Online Motor Babbling: Learning Motor Abundance of a Musculoskeletal Robot Arm Liu, Z., Hitzmann, A., Ikemoto, S., Stark, S., Peters, J., Hosoda, K. International Conference on Intelligent Robots and Systems (IROS), :6594-6601, 2019 (Published) DOI BibTeX
Empirical Inference Conference Paper Model-Based Relative Entropy Policy Search for Stochastic Hybrid Systems Abdulsamad, H., Naveh, K., Peters, J. 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM), 2019 (Published) URL BibTeX
Empirical Inference Article Multidimensional Contrast Limited Adaptive Histogram Equalization Stimper, V., Bauer, S., Ernstorfer, R., Schölkopf, B., Xian, R. P. IEEE Access, 7:165437-165447, 2019 (Published) arXiv DOI URL BibTeX
Empirical Inference Conference Paper Open-Ended Learning of Grasp Strategies using Intrinsically Motivated Self-Supervision Delfosse, Q., Stark, S., Tanneberg, D., Santucci, V. G., Peters, J. Workshop at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 (Published) PDF BibTeX
Empirical Inference Article Optimizing the Execution of Dynamic Robot Movements With Learning Control Koc, O., Maeda, G., Peters, J. IEEE Transactions on Robotics, 35(4):909-924, 2019 (Published) arXiv DOI URL BibTeX
Empirical Inference Ph.D. Thesis Pragmatism and Variable Transformations in Causal Modelling Weichwald, S. ETH Zurich, 2019 (Published) BibTeX
Empirical Inference Probabilistic Numerics Article Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective Tronarp, F., Kersting, H., Särkkä, S. H. P. Statistics and Computing, 29(6):1297-1315, 2019 (Published) DOI BibTeX
Empirical Inference Ph.D. Thesis Quantification of tumor heterogeneity using PET/MRI and machine learning Katiyar, P. Eberhard Karls Universität Tübingen, Germany, 2019 (Published) BibTeX
Empirical Inference Article Quantum mean embedding of probability distributions Kübler, J. M., Muandet, K., Schölkopf, B. Physical Review Research, 1(3):article no. 033159, American Physical Society, 2019 (Published) DOI URL BibTeX
Empirical Inference Article Reinforcement learning of motor skills using Policy Search and human corrective advice Celemin, C., Maeda, G., Peters, J., Ruiz-del-Solar, J., Kober, J. The International Journal of Robotics Research, 38(14):1560-1580, 2019 (Published) DOI BibTeX
Empirical Inference Article Reliable Real-Time Ball Tracking for Robot Table Tennis Gomez-Gonzalez, S., Nemmour, Y., Schölkopf, B., Peters, J. Robotics, 8(4):article no. 90, 2019 (Published) DOI URL BibTeX
Empirical Inference Article Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise Pfister*, N., Weichwald*, S., Bühlmann, P., Schölkopf, B. Journal of Machine Learning Research, 20(147):1-50, 2019, *equal contribution (Published) ArXiv Code Project page PDF URL BibTeX
Empirical Inference Ph.D. Thesis Sample-efficient deep reinforcement learning for continuous control Gu, S. University of Cambridge, UK, 2019 (Published) BibTeX
Perceiving Systems Empirical Inference Haptic Intelligence Physical Intelligence MPI Year Book Scientific Report 2016 - 2018 2019 () Scientific Report 2016 - 2018 BibTeX
Empirical Inference Article Searchers adjust their eye-movement dynamics to target characteristics in natural scenes Rothkegel, L., Schütt, H., Trukenbrod, H., Wichmann, F. A., Engbert, R. Scientific Reports, 9(1):1-12, 2019 (Published) DOI BibTeX
Empirical Inference Master Thesis Spatial Filtering based on Riemannian Manifold for Brain-Computer Interfacing Xu, J. Technical University of Munich, Germany, 2019 (Published) BibTeX
Empirical Inference Article Spatial statistics for gaze patterns in scene viewing: Effects of repeated viewing Trukenbrod, H. A., Barthelmé, S., Wichmann, F. A., Engbert, R. Journal of Vision, 19(6):5, 2019 (Published) DOI BibTeX
Empirical Inference Article Spread-spectrum magnetic resonance imaging Scheffler, K., Loktyushin, A., Bause, J., Aghaeifar, A., Steffen, T., Schölkopf, B. Magnetic Resonance in Medicine, 82(3):877-885, 2019 (Published) DOI BibTeX
Empirical Inference Article TD-regularized actor-critic methods Parisi, S., Tangkaratt, V., Peters, J., Khan, M. E. Machine Learning, 108(8):1467-1501, (Editors: Karsten Borgwardt, Po-Ling Loh, Evimaria Terzi, and Antti Ukkonen), 2019 (Published) DOI BibTeX
Empirical Inference Conference Paper Witnessing Adversarial Training in Reproducing Kernel Hilbert Spaces Mehrjou, A., Jitkrittum, W., Schölkopf, B., Muandet, K. 2019, Submitted (Submitted) arXiv BibTeX
Empirical Inference Article Workshops of the seventh international brain-computer interface meeting: not getting lost in translation Huggins, J. E., Guger, C., Aarnoutse, E., Allison, B., Anderson, C. W., Bedrick, S., Besio, W., Chavarriaga, R., Collinger, J. L., Do, A. H., et al. Brain-Computer Interfaces, 6(3):71-101, Taylor & Francis, 2019 (Published) DOI BibTeX
Empirical Inference Conference Paper AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs Abbati*, G., Wenk*, P., Osborne, M. A., Krause, A., Schölkopf, B., Bauer, S. Proceedings of the 36th International Conference on Machine Learning (ICML), 97:1-10, Proceedings of Machine Learning Research, (Editors: Chaudhuri, Kamalika and Salakhutdinov, Ruslan), PMLR, 2019, *equal contribution (Published) PDF URL BibTeX
Empirical Inference Conference Paper A Computational Camera with Programmable Optics for Snapshot High Resolution Multispectral Imaging Chen, J., Hirsch, M., Eberhardt, B., Lensch, H. P. A. Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Part III, 11363:685-699, Lecture Notes in Computer Science, Springer, December 2018 (Published) DOI BibTeX
Empirical Inference Conference Paper Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models Neitz, A., Parascandolo, G., Bauer, S., Schölkopf, B. Advances in Neural Information Processing Systems 31 (NeurIPS 2018), :9838-9848, (Editors: S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett), Curran Associates, Inc., 32nd Annual Conference on Neural Information Processing Systems, December 2018 (Published) arXiv URL BibTeX