Publications

Empirical Inference Conference Paper Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks von Kügelgen, J., Rubenstein, P. K., Schölkopf, B., Weller, A. NeurIPS 2019 Workshop Do the right thing: machine learning and causal inference for improved decision making, December 2019 (Published) arXiv Poster URL BibTeX

Empirical Inference Conference Paper Fisher Efficient Inference of Intractable Models Liu, S., Kanamori, T., Jitkrittum, W., Chen, Y. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), :8790-8800, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Conference Paper A Model to Search for Synthesizable Molecules Bradshaw, J., Paige, B., Kusner, M. J., Segler, M., Hernández-Lobato, J. M. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), :7935-7947, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Are Disentangled Representations Helpful for Abstract Visual Reasoning? van Steenkiste, S., Locatello, F., Schmidhuber, J., Bachem, O. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), :14222-14235, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Convergence Guarantees for Adaptive Bayesian Quadrature Methods Kanagawa, M., Hennig, P. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), :6234-6245, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Exploiting the modularity of deep networks to generate visual counterfactuals Besserve, M., Mehrjou, A., Sun, R., Schölkopf, B. NeurIPS 2019 - Workshop on Shared Visual Representations in Human & Machine Intelligence, December 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Flex-Convolution Groh*, F., Wieschollek*, P., Lensch, H. P. A. Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, 11361:105-122, Lecture Notes in Computer Science, (Editors: Jawahar, C. V. and Li, Hongdong and Mori, Greg and Schindler, Konrad), Springer International Publishing, December 2019, *equal contribution (Published) DOI BibTeX

Empirical Inference Conference Paper Invert to Learn to Invert Putzky, P., Welling, M. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), :444-454, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Kernel Stein Tests for Multiple Model Comparison Lim, J. N., Yamada, M., Schölkopf, B., Jitkrittum, W. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), :2240-2250, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Limitations of the empirical Fisher approximation for natural gradient descent Kunstner, F., Hennig, P., Balles, L. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), :4158-4169, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Talk Multivariate coupling estimation between continuous signals and point processes Safavi, S., Logothetis, N., Besserve, M. Neural Information Processing Systems 2019 - Workshop on Learning with Temporal Point Processes, December 2019 (Published) Talk video URL BibTeX

Empirical Inference Conference Paper On the Fairness of Disentangled Representations Locatello, F., Abbati, G., Rainforth, T., Bauer, S., Schölkopf, B., Bachem, O. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), :14584-14597, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Optics and Sensing Laboratory Autonomous Motion Conference Paper On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Gondal, M. W., Wüthrich, M., Miladinovic, D., Locatello, F., Breidt, M., Volchkov, V., Akpo, J., Bachem, O., Schölkopf, B., Bauer, S. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), :15714-15725, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Perceiving the arrow of time in autoregressive motion Meding, K., Janzing, D., Schölkopf, B., Wichmann, F. A. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), :2303-2314, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Practical and Consistent Estimation of f-Divergences Rubenstein, P. K., Bousquet, O., Djolonga, J., Riquelme, C., Tolstikhin, I. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), :4072-4082, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Ph.D. Thesis Real Time Probabilistic Models for Robot Trajectories Gomez-Gonzalez, S. Technical University Darmstadt, Germany, December 2019 (Published) BibTeX

Empirical Inference Ph.D. Thesis Robot Learning for Muscular Systems Büchler, D. Technical University Darmstadt, Germany, December 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Selecting causal brain features with a single conditional independence test per feature Mastakouri, A., Schölkopf, B., Janzing, D. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), :12532-12543, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Stochastic Frank-Wolfe for Composite Convex Minimization Locatello, F., Yurtsever, A., Fercoq, O., Cevher, V. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), :14246-14256, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Improving Local Trajectory Optimisation using Probabilistic Movement Primitives Shyam, R. A., Lightbody, P., Das, G., Liu, P., Gomez-Gonzalez, S., Neumann, G. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), :2666-2671, IEEE, International Conference on Intelligent Robots and Systems 2019 (IROS) , November 2019 (Published) DOI BibTeX

Empirical Inference Conference Paper Experience Reuse with Probabilistic Movement Primitives Stark, S., Peters, J., Rueckert, E. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), :1210-1217, IEEE, November 2019 (Published) DOI BibTeX

Empirical Inference Conference Paper Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics Celik, O., Abdulsamad, H., Peters, J. International Conference on Intelligent Robots and Systems (IROS), :6828-6833, IEEE, November 2019 (Published) DOI BibTeX

Empirical Inference Conference Paper Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems Lutter, M., Listmann, K., Peters, J. International Conference on Intelligent Robots and Systems (IROS), :7718-7725, IEEE, November 2019 (Published) DOI BibTeX

Empirical Inference Conference Paper Generalized Multiple Correlation Coefficient as a Similarity Measurement between Trajectories Urain, J., Peters, J. International Conference on Intelligent Robots and Systems (IROS), :1363-1369, IEEE, November 2019 (Published) DOI BibTeX

Empirical Inference Conference Paper Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction Trick, S., Koert, D., Peters, J., Rothkopf, C. A. International Conference on Intelligent Robots and Systems (IROS), :7009-7016, IEEE, November 2019 (Published) DOI BibTeX

Empirical Inference Conference Paper Receding Horizon Curiosity Schultheis, M., Belousov, B., Abdulsamad, H., Peters, J. Proceedings of the 3rd Annual Conference on Robot Learning (CoRL), 100:1278-1288, Proceedings of Machine Learning Research, (Editors: Leslie Pack Kaelbling and Danica Kragic and Komei Sugiura), PMLR, November 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Reinforcement Learning of Trajectory Distributions: Applications in Assisted Teleoperation and Motion Planning Ewerton, M., Guilherme, M., Koert, D., Kolev, Z., Takahashi, M., Peters, J. International Conference on Intelligent Robots and Systems (IROS), :4294-4300, IEEE, November 2019 (Published) DOI BibTeX

Empirical Inference Conference Paper Self-Paced Contextual Reinforcement Learning Klink, P., Abdulsamad, H., Belousov, B., Peters, J. Proceedings of the 3rd Annual Conference on Robot Learning (CoRL), 100:513-529, Proceedings of Machine Learning Research, (Editors: Leslie Pack Kaelbling and Danica Kragic and Komei Sugiura), PMLR, November 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Stochastic Optimal Control as Approximate Input Inference Watson, J., Abdulsamad, H., Peters, J. Proceedings of the 3rd Annual Conference on Robot Learning (CoRL), 100:697-716, Proceedings of Machine Learning Research, (Editors: Leslie Pack Kaelbling and Danica Kragic and Komei Sugiura), PMLR, November 2019 (Published) URL BibTeX

Empirical Inference Conference Paper HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints Lutter, M., Belousov, B., Listmann, K., Clever, D., Peters, J. Proceedings of the 3rd Annual Conference on Robot Learning (CoRL), 100:640-650, Proceedings of Machine Learning Research, (Editors: Leslie Pack Kaelbling and Danica Kragic and Komei Sugiura), PMLR, November 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Building a Library of Tactile Skills Based on FingerVision Belousov, B., Sadybakasov, A., Wibranek, B., Veiga, F., Tessmann, O., Peters, J. International Conference on Humanoid Robots (Humanoids), :717-722, IEEE, October 2019 (Published) DOI BibTeX

Empirical Inference Conference Paper Neural Signatures of Motor Skill in the Resting Brain Ozdenizci, O., Meyer, T., Wichmann, F., Peters, J., Schölkopf, B., Cetin, M., Grosse-Wentrup, M. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC 2019), :4387-4394, IEEE, October 2019 (Published) DOI BibTeX

Empirical Inference Master Thesis Inferring the Band Structure from Band Mapping Data through Machine Learning Stimper, V. Technical University of Munich, September 2019 (Published) BibTeX

Empirical Inference Conference Paper A Differentially Private Kernel Two-Sample Test Raj*, A., Law*, L., Sejdinovic*, D., Park, M. Machine Learning and Knowledge Discovery in Databases (ECML/PKDD), 119066:697-724, Lecture Notes in Computer Science, (Editors: Brefeld, Ulf and Fromont, Elisa and Hotho, Andreas and Knobbe, Arno and Maathuis, Marloes and Robardet, Céline), Springer International Publishing, September 2019, *equal contribution (Published) DOI BibTeX

Empirical Inference Article Color Constancy in Deep Neural Networks Flachot, A., Schuett, H., Fleming, R. W., Wichmann, F. A., Gegenfurtner, K. R. Journal of Vision, 19(10):article no. 298, September 2019 (Published) DOI BibTeX

Empirical Inference Article Convolutional neural networks: A magic bullet for gravitational-wave detection? Gebhard, T., Kilbertus, N., Harry, I., Schölkopf, B. Physical Review D, 100(6):article no. 063015, American Physical Society, September 2019 (Published) DOI URL BibTeX

Empirical Inference Article Data scarcity, robustness and extreme multi-label classification Babbar, R., Schölkopf, B. Machine Learning, 108(8):1329-1351, September 2019, Special Issue of the ECML PKDD 2019 Journal Track (Published) DOI BibTeX

Empirical Inference Master Thesis Learning to Diagnose Diabetes from Magnetic Resonance Tomography Dietz, B. ETH Zurich, Switzerland, August 2019 (Published) BibTeX

Empirical Inference Bachelor Thesis Automatic Segmentation and Labelling for Robot Table Tennis Time Series Lutz, P. Technical University Darmstadt, Germany, August 2019 (Published) BibTeX

Empirical Inference Poster Perception of temporal dependencies in autoregressive motion Meding, K., Schölkopf, B., Wichmann, F. A. Perception, 48(2-suppl):141, 42nd European Conference on Visual Perception (ECVP), August 2019 (Published) URL BibTeX

Empirical Inference Poster Phenomenal Causality and Sensory Realism Bruijns, S. A., Meding, K., Schölkopf, B., Wichmann, F. A. Perception, 48(2-suppl):141, 42nd European Conference on Visual Perception (ECVP), August 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Assessing Transferability in Reinforcement Learning from Randomized Simulations Muratore, F., Gienger, M., Peters, J. 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM), July 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Belief space model predictive control for approximately optimal system identification Belousov, B., Abdulsamad, H., Schultheis, M., Peters, J. 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM), July 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Beta Power May Mediate the Effect of Gamma-TACS on Motor Performance Mastakouri, A., Schölkopf, B., Grosse-Wentrup, M. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), :5902-5908, July 2019 (Published) arXiv PDF DOI URL BibTeX

Empirical Inference Conference Paper Coordinating Users of Shared Facilities via Data-driven Predictive Assistants and Game Theory Geiger, P., Besserve, M., Winkelmann, J., Proissl, C., Schölkopf, B. Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI), 115:207-216, Proceedings of Machine Learning Research, (Editors: Adams, Ryan P. and Gogate, Vibhav), PMLR, July 2019 (Published) URL BibTeX

Empirical Inference Conference Paper Deep Optimal Control: Using the Euler-Lagrange Equation to learn an Optimal Feedback Control Law Lutter, M., Peters, J. 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM), July 2019 () URL BibTeX

Empirical Inference Conference Paper Exploration Driven by an Optimistic Bellman Equation Tosatto, S., D’Eramo, C., Pajarinen, J., Restelli, M., Peters, J. International Joint Conference on Neural Networks (IJCNN), :1-8, July 2019 (Published) DOI BibTeX

Empirical Inference Conference Paper Measuring Similarities between Markov Decision Processes Klink, P., Peters, J. 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM), July 2019 (Published) URL BibTeX

Empirical Inference Poster Neural mass modeling of the Ponto-Geniculo-Occipital wave and its neuromodulation Shao, K., Logothetis, N., Besserve, M. 28th Annual Computational Neuroscience Meeting (CNS*2019), July 2019 (Published) DOI BibTeX

Empirical Inference Probabilistic Learning Group Conference Paper Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning Peharz, R., Vergari, A., Stelzner, K., Molina, A., Shao, X., Trapp, M., Kersting, K., Ghahramani, Z. Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI), 115:334-344, Proceedings of Machine Learning Research, (Editors: Adams, Ryan P. and Gogate, Vibhav), PMLR, July 2019 (Published) URL BibTeX

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