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Empirical Inference Conference Paper On Mutual Information Maximization for Representation Learning Tschannen, M., Djolonga, J., Rubenstein, P. K., Gelly, S., Lucic, M. 8th International Conference on Learning Representations (ICLR), April 2020 (Published) arXiv URL BibTeX
Empirical Inference Perceiving Systems Article Real Time Trajectory Prediction Using Deep Conditional Generative Models Gomez-Gonzalez, S., Prokudin, S., Schölkopf, B., Peters, J. IEEE Robotics and Automation Letters, 5(2):970-976, IEEE, April 2020 (Published) arXiv DOI BibTeX
Empirical Inference Conference Paper Sharing Knowledge in Multi-Task Deep Reinforcement Learning D‘Eramo, C., Tateo, D., Bonarini, A., Restelli, M., Peters, J. 8th International Conference on Learning Representations (ICLR), April 2020 (Published) URL BibTeX
Empirical Inference Article Tangent space spatial filters for interpretable and efficient Riemannian classification Xu, J., Grosse-Wentrup, M., Jayaram, V. Journal of Neural Engineering, 17(2), IOP Publishing, April 2020 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Towards causal generative scene models via competition of experts von Kügelgen*, J., Ustyuzhaninov*, I., Gehler, P., Bethge, M., Schölkopf, B. ICLR 2020 Workshop "Causal Learning for Decision Making", April 2020, *equal contribution (Published) arXiv PDF BibTeX
Empirical Inference Article Adaptation and Robust Learning of Probabilistic Movement Primitives Gomez-Gonzalez, S., Neumann, G., Schölkopf, B., Peters, J. IEEE Transactions on Robotics, 36(2):366-379, IEEE, March 2020 (Published) arXiv DOI BibTeX
Empirical Inference Conference Paper Evaluation of the Handshake Turing Test for Anthropomorphic Robots Stock-Homburg, R., Peters, J., Schneider, K., Prasad, V., Nukovic, L. Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI), 456-458, (Editors: Tony Belpaeme and James Young and Hatice Gunes and Laurel D. Riek), ACM, March 2020 (Published) DOI BibTeX
Empirical Inference Conference Paper A Commentary on the Unsupervised Learning of Disentangled Representations Locatello, F., Bauer, S., Lucic, M., Rätsch, G., Gelly, S., Schölkopf, B., Bachem, O. Proceedings of the 34th Conference on Artificial Intelligence (AAAI), 34(9):13681-13684, AAAI Press, February 2020, Sister Conference Track (Published) DOI URL BibTeX
Empirical Inference Article DeepMAsED: evaluating the quality of metagenomic assemblies Mineeva*, O., Rojas-Carulla*, M., Ley, R. E., Schölkopf, B., Youngblut, N. D. Bioinformatics, 36(10):3011-3017, February 2020, *equal contribution (Published) DOI URL BibTeX
Empirical Inference Conference Paper Interpretable and Differentially Private Predictions Harder, F., Bauer, M., Park, M. Proceedings of the 34th Conference on Artificial Intelligence (AAAI), 34(4):4083-4090, AAAI Press, February 2020, AAAI Technical Track: Machine Learning (Published) DOI URL BibTeX
Empirical Inference Conference Paper Learning Counterfactual Representations for Estimating Individual Dose-Response Curves Schwab, P., Linhardt, L., Bauer, S., Buhmann, J. M., Karlen, W. Proceedings of the 34th Conference on Artificial Intelligence (AAAI), 34(4):5612-5619, AAAI Press, February 2020, AAAI Technical Track: Machine Learning (Published) DOI URL BibTeX
Empirical Inference Conference Paper ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems Wenk, P., Abbati, G., Osborne, M. A., Schölkopf, B., Krause, A., Bauer, S. Proceedings of the 34th Conference on Artificial Intelligence (AAAI), 34(4):6364-6371, AAAI Press, February 2020, AAAI Technical Track: Machine Learning (Published) DOI URL BibTeX
Empirical Inference Conference Paper Radial and Directional Posteriors for Bayesian Deep Learning Oh, C., Adamczewski, K., Park, M. Proceedings of the 34th Conference on Artificial Intelligence (AAAI), 34(4):5298-5305, AAAI Press, February 2020, AAAI Technical Track: Machine Learning (Published) DOI URL BibTeX
Empirical Inference Article A 32-channel multi-coil setup optimized for human brain shimming at 9.4T Aghaeifar, A., Zhou, J., Heule, R., Tabibian, B., Schölkopf, B., Jia, F., Zaitsev, M., Scheffler, K. Magnetic Resonance in Medicine, 83(2):749-764, 2020 (Published) DOI URL BibTeX
Empirical Inference Article A Probabilistic Framework for Imitating Human Race Driver Behavior Löckel, S., Peters, J., van Vliet, P. IEEE Robotics and Automation Letters, 5(2):2086-2093, 2020 (Published) DOI BibTeX
Empirical Inference Autonomous Learning Autonomous Motion Movement Generation and Control Conference Paper A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models Agudelo-España, D., Zadaianchuk, A., Wenk, P., Garg, A., Akpo, J., Grimminger, F., Viereck, J., Naveau, M., Righetti, L., Martius, G., Krause, A., Schölkopf, B., Bauer, S., Wüthrich, M. IEEE International Conference on Robotics and Automation (ICRA), 8151-8157, IEEE, 2020 (Published) Project Page PDF DOI BibTeX
Empirical Inference Article A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation Locatello, F., Bauer, S., Lucic, M., Raetsch, G., Gelly, S., Schölkopf, B., Bachem, O. Journal of Machine Learning Research, 21:1-62, 2020 (Published) URL BibTeX
Empirical Inference Article An Adaptive Optimizer for Measurement-Frugal Variational Algorithms Kübler, J. M., Arrasmith, A., Cincio, L., Coles, P. J. Quantum, 4, 2020 (Published) DOI URL BibTeX
Empirical Inference Probabilistic Numerics Article Analytical probabilistic modeling of dose-volume histograms Wahl, N., Hennig, P., Wieser, H., Bangert, M. Medical Physics, 47(10):5260-5273, 2020 (Published) DOI BibTeX
Empirical Inference Miscellaneous Assaying Large-scale Testing Models to Interpret Covid-19 Case Numbers. A Cross-country Study Besserve, M., Buchholz, S., Schölkopf, B. 2020 (Submitted) arXiv BibTeX
Empirical Inference Article Assisted teleoperation in changing environments with a mixture of virtual guides Ewerton, M., Arenz, O., Peters, J. Advanced Robotics, 34(18):1157-1170, 2020 (Published) DOI BibTeX
Empirical Inference Article Causal Discovery from Heterogeneous/Nonstationary Data Huang, B., Zhang, K., Zhang, J., Ramsey, J., Sanchez-Romero, R., Glymour, C., Schölkopf, B. Journal of Machine Learning Research, 21(1):1-53, 2020 (Published) URL BibTeX
Empirical Inference Miscellaneous Causal learning with sufficient statistics: an information bottleneck approach Chicharro, D., Besserve, M., Panzeri, S. 2020 (Submitted) arXiv BibTeX
Empirical Inference Article Clinical Predictive Models for COVID-19: Systematic Study Schwab, P., DuMont Schütte, A., Dietz, B., Bauer, S. Journal of Medical Internet Research, 22(10), 2020 (Published) DOI URL BibTeX
Empirical Inference Article Conjugate Gradients for Kernel Machines Bartels, S., Hennig, P. Journal of Machine Learning Research, 21(55):1-42, 2020 (Published) URL BibTeX
Empirical Inference Probabilistic Numerics Article Convergence rates of Gaussian ODE filters Kersting, H., Sullivan, T. J., Hennig, P. Statistics and Computing, 30(6):1791-1816, 2020 (Published) DOI BibTeX
Empirical Inference Conference Paper Decentralized Data-Driven Tuning of Droop Frequency Controllers Almeida Santos, A., Gil, C., Peters, J., Steinke, F. IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 141-145, IEEE, 2020 (Published) DOI BibTeX
Empirical Inference Conference Paper Deep Adversarial Reinforcement Learning for Object Disentangling Laux, M., Arenz, O., Peters, J., Pajarinen, J. International Conference on Intelligent Robots and Systems (IROS), 5504-5510, IEEE, 2020 (Published) DOI BibTeX
Empirical Inference Miscellaneous Dimensionality Reduction of Movement Primitives in Parameter Space Tosatto, S., Stadtmueller, J., Peters, J. 2020 (Published) arXiv BibTeX
Empirical Inference Conference Paper Divide-and-Conquer Monte Carlo Tree Search for goal directed planning Parascandolo*, G., Buesing*, L., Merel, J., Hasenclever, L., Aslanides, J., Hamrick, J. B., Heess, N., Neitz, A., Weber, T. 2020, *equal contribution (Submitted) arXiv BibTeX
Empirical Inference Article Enhancing gravitational-wave science with machine learning Cuoco, E., Powell, J., Cavaglià, M., Ackley, K., Bejger, M., Chatterjee, C., Coughlin, M., Coughlin, S., Easter, P., Essick, R., Gabbard, H., Gebhard, T., Ghosh, S., Haegel, L., Iess, A., Keitel, D., Márka, Z., Márka, S., Morawski, F., Nguyen, T., et al. Machine Learning: Science and Technology, 2(1), 2020 (Published) DOI BibTeX
Empirical Inference Article Evolutionary training and abstraction yields algorithmic generalization of neural computers Tanneberg, D., Rueckert, E., Peters, J. Nature Machine Intelligence, 2:753-763, 2020 (Published) DOI BibTeX
Empirical Inference Article Grip Stabilization through Independent Finger Tactile Feedback Control Veiga, F., Edin, B., Peters, J. Sensors, 20(6), 2020 (Published) DOI URL BibTeX
Empirical Inference Article Hierarchical Tactile-Based Control Decomposition of Dexterous In-Hand Manipulation Tasks Veiga, F., Akrour, R., Peters, J. Frontiers in Robotics and AI, 7, 2020 (Published) DOI URL BibTeX
Empirical Inference Conference Paper ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows Urain, J., Ginesi, M., Tateo, D., Peters, J. International Conference on Intelligent Robots and Systems (IROS), 5231-5237, IEEE, 2020 (Published) DOI BibTeX
Empirical Inference Article Impact of prospective motion correction, distortion correction methods and large vein bias on the spatial accuracy of cortical laminar fMRI at 9.4 Tesla Bause, J., Polimeni, J. R., Stelzer, J., In, M., Ehses, P., Kraemer-Fernandez, P., Aghaeifar, A., Lacosse, E., Pohmann, R., Scheffler, K. Neuroimage, 208, 2020 (Published) DOI BibTeX
Empirical Inference Article Incremental Learning of an Open-Ended Collaborative Skill Library Koert, D., Trick, S., Ewerton, M., Lutter, M., Peters, J. International Journal of Humanoid Robotics, 17(1), 2020 (Published) DOI BibTeX
Empirical Inference Article Independent attenuation correction of whole body [18F]FDG-PET using a deep learning approach with Generative Adversarial Networks Armanious, K., Hepp, T., Küstner, T., Dittmann, H., Nikolaou, K., La Fougère, C., Yang, B., Gatidis, S. EJNMMI Research, 10, 2020 (Published) DOI BibTeX
Empirical Inference Miscellaneous Is Independence all you need? On the Generalization of Representations Learned from Correlated Data Träuble, F., Creager, E., Kilbertus, N., Goyal, A., Locatello, F., Schölkopf, B., Bauer, S. 2020 (Published) URL BibTeX
Empirical Inference Article Learning Attribute Grammars for Movement Primitive Sequencing Lioutikov, R., Maeda, G., Veiga, F., Kersting, K., Peters, J. The International Journal of Robotics Research (IJRR), 39(1):21-38, 2020 (Published) DOI BibTeX
Empirical Inference Conference Paper Learning Hierarchical Acquisition Functions for Bayesian Optimization Rottmann, N., Kunavar, T., Babic, J., Peters, J., Rueckert, E. International Conference on Intelligent Robots and Systems (IROS), 5490-5496, IEEE, 2020 (Published) DOI BibTeX
Empirical Inference Miscellaneous Learning Neural Causal Models from Unknown Interventions Ke, R., Bilaniuk, O., Goyal, A., Bauer, S., Larochelle, H., Schölkopf, B., Mozer, M. C., Pal, C., Bengio, Y. 2020 (Published) arXiv BibTeX
Empirical Inference Article Learning Sequential Force Interaction Skills Manschitz, S., Gienger, M., Kober, J., Peters, J. Robotics, 9(2):article no. 45, 2020 (Published) DOI BibTeX
Empirical Inference Article Longitudinal monitoring of apparent diffusion coefficient (ADC) in myeloma patients with lower M-gradient levels undergoing systemic treatment and whole-body MRI monitoring Perl, R. M., Gronbach, F., Fritz, J., Horger, M. S., Hepp, T. European Journal of Radiology, 132(article no. 109306), 2020 (Published) DOI BibTeX
Empirical Inference Conference Paper Model-Based Quality-Diversity Search for Efficient Robot Learning Keller, L., Tanneberg, D., Stark, S., Peters, J. International Conference on Intelligent Robots and Systems (IROS), 9675-9680, IEEE, 2020 (Published) DOI BibTeX
Empirical Inference Article Multi-Channel Interactive Reinforcement Learning for Sequential Tasks Koert, D., Kircher, M., Salikutluk, V., D’Eramo, C., Peters, J. Frontiers in Robotics and AI, 7(September), 2020 (Published) DOI BibTeX
Empirical Inference Article Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization Lauri, M., Pajarinen, J., Peters, J., Frintrop, S. IEEE Robotics and Automation Letters, 5(4):5323-5300, 2020 (Published) DOI BibTeX
Embodied Vision Empirical Inference Article Numerical Quadrature for Probabilistic Policy Search Vinogradska, J., Bischoff, B., Achterhold, J., Koller, T., Peters, J. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(1):164-175, 2020 (Published) DOI BibTeX
Empirical Inference Conference Paper Physically constrained causal noise models for high-contrast imaging of exoplanets Gebhard, T. D., Bonse, M. J., Quanz, S. P., Schölkopf, B. Machine Learning and the Physical Sciences - Workshop at the 34th Conference on Neural Information Processing Systems (NeurIPS), 2020 (Published) arXiv BibTeX
Empirical Inference Article Plucking Motions for Tea Harvesting Robots Using Probabilistic Movement Primitives Motokura, K., Takahashi, M., Ewerton, M., Peters, J. IEEE Robotics and Automation Letters, 5(2):3275-3282, 2020 (Published) DOI BibTeX