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Empirical Inference Conference Paper Kernel Conditional Density Operators Schuster, I., Mollenhauer, M., Klus, S., Muandet, K. Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), 108:993-1004, Proceedings of Machine Learning Research, (Editors: Silvia Chiappa and Roberto Calandra), PMLR, June 2020 (Published) URL BibTeX
Empirical Inference Article Phenomenal Causality and Sensory Realism Meding, K., Bruijns, S. A., Schölkopf, B., Berens, P., Wichmann, F. A. i-Perception, 11(3):1-16, June 2020 (Published) DOI URL BibTeX
Empirical Inference Master Thesis Deep learning for the parameter estimation of tight-binding Hamiltonians Cacioppo, A. University of Roma, La Sapienza, Italy, May 2020 (Published) BibTeX
Empirical Inference Article Variational Bayes In Private Settings (VIPS) Park, M., Foulds, J., Chaudhuri, K., Welling, M. Journal of Artificial Intelligence Research, 68:109-157, May 2020 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Towards Robot Skill Learning Peters, J. Proceedings 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), :3-3, IEEE, April 2020 (Published) DOI BibTeX
Empirical Inference Conference Paper A meta-transfer objective for learning to disentangle causal mechanisms Bengio, Y., Deleu, T., Rahaman, N., Ke, R., Lachapelle, S., Bilaniuk, O., Goyal, A., Pal, C. 8th International Conference on Learning Representations (ICLR), April 2020 (Published) arXiv URL BibTeX
Dynamic Locomotion Movement Generation and Control Autonomous Motion Empirical Inference Robotics Article An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research Grimminger, F., Meduri, A., Khadiv, M., Viereck, J., Wüthrich, M., Naveau, M., Berenz, V., Heim, S., Widmaier, F., Flayols, T., et al. IEEE Robotics and Automation Letters, 5(2):3650-3657, IEEE, April 2020 (Published) Youtube Open Dynamic Robot Initiative DOI URL BibTeX
Empirical Inference Conference Paper BackPACK: Packing more into Backprop Dangel, F., Kunstner, F., Hennig, P. 8th International Conference on Learning Representations (ICLR), April 2020 (Published) URL BibTeX
Empirical Inference Conference Paper Counterfactuals uncover the modular structure of deep generative models Besserve, M., Mehrjou, A., Sun, R., Schölkopf, B. 8th International Conference on Learning Representations (ICLR), April 2020 (Published) URL BibTeX
Empirical Inference Conference Paper Disentangling Factors of Variations Using Few Labels Locatello, F., Tschannen, M., Bauer, S., Rätsch, G., Schölkopf, B., Bachem, O. 8th International Conference on Learning Representations (ICLR), April 2020 (Published) arXiv URL BibTeX
Empirical Inference Perceiving Systems Probabilistic Learning Group Conference Paper From Variational to Deterministic Autoencoders Ghosh*, P., Sajjadi*, M. S. M., Vergari, A., Black, M. J., Schölkopf, B. 8th International Conference on Learning Representations (ICLR) , April 2020, *equal contribution (Published) arXiv URL BibTeX
Empirical Inference Master Thesis Learning Algorithms, Invariances, and the Real World Zecevic, M. Technical University of Darmstadt, Germany, April 2020 (Published) BibTeX
Empirical Inference Conference Paper Learning the Arrow of Time for Problems in Reinforcement Learning Rahaman, N., Wolf, S., Goyal, A., Remme, R., Bengio, Y. 8th International Conference on Learning Representations (ICLR), April 2020 (Published) URL BibTeX
Empirical Inference Conference Paper Mixed-curvature Variational Autoencoders Skopek, O., Ganea, O., Becigneul, G. 8th International Conference on Learning Representations (ICLR), April 2020 (Published) URL BibTeX
Empirical Inference Conference Paper Non-linear interlinkages and key objectives amongst the Paris Agreement and the Sustainable Development Goals Laumann, F., von Kügelgen, J., Barahona, M. ICLR 2020 Workshop "Tackling Climate Change with Machine Learning", April 2020 (Published) arXiv PDF BibTeX
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., et al. 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 (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 (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 (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., 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