Publications

Empirical Inference Conference Paper Directed Acyclic Graph Neural Network for Human Motion Prediction Li, Q., Chalvatzaki, G., Peters, J., Wang, Y. 2021 IEEE International Conference on Robotics and Automation (ICRA), :3197-3204, IEEE, IEEE International Conference on Robotics and Automation (ICRA 2021), May 2021 (Published) DOI URL BibTeX

Empirical Inference Conference Paper Learning Human-like Hand Reaching for Human-Robot Handshaking Prasad, V., Stock-Homburg, R., Peters, J. 2021 IEEE International Conference on Robotics and Automation (ICRA), :3612-3618, IEEE, IEEE International Conference on Robotics and Automation (ICRA 2021), May 2021 (Published) DOI URL BibTeX

Empirical Inference Conference Paper Meta Attention Networks: Meta-Learning Attention to Modulate Information Between Recurrent Independent Mechanisms Madan, K., Ke, N. R., Goyal, A., Schölkopf, B., Bengio, Y. 9th International Conference on Learning Representations (ICLR), May 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning Morgan, A., Nandha, D., Chalvatzaki, G., D’Eramo, C., Dollar, A., Peters, J. IEEE International Conference on Robotics and Automation (ICRA), :6672-6678, IEEE, May 2021 (Published) DOI URL BibTeX

Empirical Inference Conference Paper On the Transfer of Disentangled Representations in Realistic Settings Dittadi*, A., Träuble*, F., Locatello, F., Wüthrich, M., Agrawal, V., Winther, O., Bauer, S., Schölkopf, B. In The Ninth International Conference on Learning Representations (ICLR), The 9th International Conference on Learning Representations (ICLR 2021) , May 2021, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper Recurrent Independent Mechanisms Goyal, A., Lamb, A., Hoffmann, J., Sodhani, S., Levine, S., Bengio, Y., Schölkopf, B. In The Ninth International Conference on Learning Representations (ICLR), 9th International Conference on Learning Representations (ICLR 2021), May 2021 (Published) URL BibTeX

Empirical Inference Conference Paper ResNet After All: Neural ODEs and Their Numerical Solution Ott, K., Katiyar, P., Hennig, P., Tiemann, M. In The Ninth International Conference on Learning Representations (ICLR 2021), 9th International Conference on Learning Representations (ICLR), May 2021 (Published) URL BibTeX

Empirical Inference Probabilistic Learning Group Conference Paper Scaling Guarantees for Nearest Counterfactual Explanations Mohammadi, K., Karimi, A., Barthe, G., Valera, I. AIES ’21: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, :177-187, (Editors: Marion Fourcade, Benjamin Kuipers, Seth Lazar and Deirdre K. Mulligan), ACM, New York, NY, Fourth AAAI/ACM Conference on AI, Ethics, and Society (AIES 2021), May 2021 (Published) arXiv DOI BibTeX

Empirical Inference Conference Paper Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling Miladinović, D., Stanić, A., Bauer, S., Schmidhuber, J., Buhmann, J. M. In The 9th International Conference on Learning Representations (ICLR), The Ninth International Conference on Learning Representations (ICLR 2021), May 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Visual Representation Learning Does Not Generalize Strongly Within the Same Domain Schott, L., von Kügelgen, J., Träuble, F., Gehler, P., Russell, C., Bethge, M., Schölkopf, B., Locatello, F., Brendel, W. ICLR 2021 - Workshop on Generalization beyond the training distribution in brains and machines, May 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Benchmarking Simulation-Based Inference Lueckmann, J., Boelts, J., Greenberg, D. S., Gonçalves, P. J., Macke, J. H. Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 130:343-351, Proceedings of Machine Learning Research, (Editors: Arindam Banerjee and Kenji Fukumizu), PMLR, AISTATS, April 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Calibrated Adaptive Probabilistic ODE Solvers Bosch, N., Hennig, P., Tronarp, F. Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 130:3466-3474, Proceedings of Machine Learning Research, (Editors: Arindam Banerjee and Kenji Fukumizu), PMLR, AISTATS, April 2021 (Published) URL BibTeX

Empirical Inference Conference Paper DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation Harder, F., Adamczewski, K., Park, M. Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 130:1819-1827, Proceedings of Machine Learning Research, (Editors: Arindam Banerjee and Kenji Fukumizu), PMLR, AISTATS, April 2021 (Published) URL BibTeX

Empirical Inference Article Data-efficient Domain Randomization with Bayesian Optimization Muratore, F., Eilers, C., Gienger, M., Peters, J. IEEE Robotics and Automation Letters , 6(2):911-918, April 2021 (Published) DOI BibTeX

Empirical Inference Conference Paper Dirichlet pruning for neural network compression Adamczewski, K., Park, M. Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 130:3637-3645, Proceedings of Machine Learning Research, (Editors: Arindam Banerjee and Kenji Fukumizu), PMLR, AISTATS, April 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Explicit Regularization of Stochastic Gradient Methods through Duality Raj, A., Bach, F. Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 130:1882-1890, Proceedings of Machine Learning Research, (Editors: Arindam Banerjee and Kenji Fukumizu), PMLR, AISTATS, April 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings Guo, Q., Jin, Z., Wang, Z., Qiu, X., Zhang, W., Zhu, J., Zhang, Z., Wipf, D. Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 130:1828-1836, Proceedings of Machine Learning Research, (Editors: Arindam Banerjee and Kenji Fukumizu), PMLR, AISTATS, April 2021 (Published) PDF URL BibTeX

Empirical Inference Conference Paper Geometrically Enriched Latent Spaces Arvanitidis, G., Hauberg, S., Schölkopf, B. Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 130:631-639, Proceedings of Machine Learning Research, (Editors: Arindam Banerjee and Kenji Fukumizu), PMLR, AISTATS, April 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation Zhu, J., Jitkrittum, W., Diehl, M., Schölkopf, B. Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 130:280-288, Proceedings of Machine Learning Research, (Editors: Arindam Banerjee and Kenji Fukumizu), PMLR, April 2021 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Learning with Hyperspherical Uniformity Liu, W., Lin, R., Liu, Z., Xiong, L., Schölkopf, B., Weller, A. Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 130:1180-1188, Proceedings of Machine Learning Research, (Editors: Arindam Banerjee and Kenji Fukumizu), PMLR, AISTATS, April 2021 (Published) URL BibTeX

Empirical Inference Ph.D. Thesis Machine Learning Methods for Modeling Synthesizable Molecules Bradshaw, J. University of Cambridge, UK, Cambridge, April 2021, (Cambridge-Tübingen-Fellowship) (Published) DOI BibTeX

Empirical Inference Article Synchronous activity patterns in the dentate gyrus during immobility Pofahl, M., Nikbakht, N., Haubrich, A. N., Nguyen, T., Masala, N., Distler, F., Braganza, O., Macke, J. H., Ewell, L. A., Golcuk, K., et al. eLife, 10:29, March 2021 (Published) DOI URL BibTeX

Empirical Inference Probabilistic Learning Group Conference Paper Algorithmic Recourse: from Counterfactual Explanations to Interventions Karimi, A., Schölkopf, B., Valera, I. FAccT ’21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, :353-362, (Editors: Madeleine Clare Elish and William Isaac and Richard S. Zemel), ACM, New York, NY, ACM Conference on Fairness, Accountability, and Transparency (FAccT 2021), March 2021 (Published) DOI URL BibTeX

Empirical Inference Article An improved equation of state for air plasma simulations Träuble, F., Millmore, S. T., Nikiforakis, N. Physics of Fluids, 33(3):13, March 2021 (Published) DOI URL BibTeX

Empirical Inference Conference Paper A Theory of Independent Mechanisms for Extrapolation in Generative Models Besserve, M., Sun, R., Janzing, D., Schölkopf, B. In Proceedings of the 35th AAAI Conference on Artificial Intelligence , 35(8):6741-6749, 35th AAAI Conference on Artificial Intelligence (AAAI 2021), February 2021 (Published) arXiv DOI URL BibTeX

Empirical Inference Article Can a Novel Deep Neural Network Improve the Computer-Aided Detection of Solid Pulmonary Nodules and the Rate of False-Positive Findings in Comparison to an Established Machine Learning Computer-Aided Detection? Perl, R. M., Grimmer, R., Hepp, T., Horger, M. S. Investigative Radiology, 56(2):103-108, February 2021 (Published) DOI BibTeX

Empirical Inference Article Enhancing the resolution of the angular orientations of the flow controlling blades on a sustainable house by training an artificial neural network Amini, K., Mehrjou, A., Mani, M. Energy Efficiency, 14, February 2021 (Published) DOI URL BibTeX

Intelligent Control Systems Movement Generation and Control Probabilistic Numerics Empirical Inference Article Robot Learning with Crash Constraints Marco, A., Baumann, D., Khadiv, M., Hennig, P., Righetti, L., Trimpe, S. IEEE Robotics and Automation Letters, 6(2):1439-1446, IEEE, February 2021 (Published) DOI URL BibTeX

Empirical Inference Conference Paper Neural Linear Models with Functional Gaussian Process Priors Watson, J., Lin, J. A., Klink, P., Peters, J. 3rd Symposium on Advances in Approximate Bayesian Inference , 3rd Symposium on Advances in Approximate Bayesian Inference (AABI 2021) , 2021 (Published) URL BibTeX

Empirical Inference Robotics Miscellaneous A Robot Cluster for Reproducible Research in Dexterous Manipulation Wüthrich*, M., Widmaier*, F., Bauer*, S., Funk, N., Urain, J., Peters, J., Watson, J., Chen, C., Srinivasan, K., Zhang, J., et al. 2021, *equal contribution (Published) arXiv BibTeX

Empirical Inference Miscellaneous A model of Ponto-Geniculo-Occipital waves supports bidirectional control of cortical plasticity across sleep-stages Shao, K., Villegas, J. F. R., Logothetis, N. K., Besserve, M. 2021, In preparation (In preparation) bioRxiv DOI BibTeX

Empirical Inference Article ABCDP: Approximate Bayesian Computation with Differential Privacy Park, M., Vinaroz, M., Jitkrittum, W. Entropy, 23(8), MDPI, 2021 (Published) DOI URL BibTeX

Empirical Inference Article An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions Tosatto, S., Akrour, R., Peters, J. Stats, 4(1):1-17, 2021 (Published) DOI URL BibTeX

Empirical Inference Article Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states Zilio, F., Gomez-Pilar, J., Cao, S., Zhang, J., Zang, D., Qi, Z., Tan, J., Hiromi, T., Wu, X., Fogel, S., et al. NeuroImage, 226:14, 2021 (Published) DOI URL BibTeX

Empirical Inference Article Assessing Transferability From Simulation to Reality for Reinforcement Learning Muratore, F., Gienger, M., Peters, J. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(4):1172-1183, 2021 (Published) DOI URL BibTeX

Empirical Inference Article Bayesian ODE solvers: the maximum a posteriori estimate Tronarp, F., Särkkä, S., Hennig, P. Statistics and Computing, 31(3):23, 2021 (Published) DOI BibTeX

Empirical Inference Article Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys Li, Y., Zhou, X., Colnaghi, T., Wei, Y., Marek, A., Li, H., Bauer, S., Rampp, M., Stephenson, L. npj Computational Materials, 7, 2021 (Published) PDF DOI URL BibTeX

Empirical Inference Article Counterfactual Mean Embeddings Muandet, K., Kanagawa, M., Saengkyongam, S., Marukatat, S. Journal of Machine Learning Research, 22, JMLR, 2021 (Published) URL BibTeX

Empirical Inference Miscellaneous Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions Abdulsamad, H., Dorau, T., Belousov, B., Zhu, J., Peters, J. 2021 (Published) arXiv BibTeX

Empirical Inference Article Finding Stable Matchings in PhD Markets with Consistent Preferences and Cooperative Partners Mordig, M., Della Vecchia, R., Cesa-Bianchi, N., Scholkopf, B. arxiv, 2021 () BibTeX

Empirical Inference Article From Univariate to Multivariate Coupling Between Continuous Signals and Point Processes: A Mathematical Framework Safavi, S., Logothetis, N., Besserve, M. Neural Computation, 33(7):1751-1817, 2021 (Published) arXiv DOI BibTeX

Intelligent Control Systems Empirical Inference Article Learning Event-triggered Control from Data through Joint Optimization Funk, N., Baumann, D., Berenz, V., Trimpe, S. IFAC Journal of Systems and Control, 16:100144, 2021 () arXiv DOI URL BibTeX

Empirical Inference Article MRzero - Automated discovery of MRI sequences using supervised learning Loktyushin, A., Herz, K., Dang, N., Glang, F., Deshmane, A., Weinmüller, S., Doerfler, A., Schölkopf, B., Scheffler, K., Zaiss, M. Magnetic Resonance in Medicine, 86(2):709-724, 2021 (Published) DOI URL BibTeX

Empirical Inference Article Machine learning identifies stroke features between species Castaneda-Vega, S., Katiyar, P., Russo, F., Patzwaldt, K., Schnabel, L., Mathes, S., Hempel, J., Kohlhofer, U., Gonzalez-Menendez, I., Quintanilla-Martinez, L., et al. Theranostics, 11(6):3017-3034, 2021 (Published) DOI URL BibTeX

Empirical Inference Miscellaneous NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments Prabhoo, S., Bauer, S., Schwab, P. 2021 (Published) arXiv BibTeX

Empirical Inference Miscellaneous On the Impact of Stable Ranks in Deep Nets Georgiev, B., Franken, L., Mukherjee, M., Arvanitidis, G. 2021 (Published) arXiv BibTeX

Empirical Inference Miscellaneous Pulling back information geometry Arvanitidis, G., González Duque, M., Pouplin, A., Kalatzis, D., Hauberg, S. 2021 (Published) arXiv BibTeX

Empirical Inference Article Real-time Prediction of COVID-19 related Mortality using Electronic Health Records Schwab, P., Mehrjou, A., Parbhoo, S., Celi, L., Hetzel, J., Hofer, M., Schölkopf, B., Bauer, S. Nature Communications, 12, 2021 (Published) DOI URL BibTeX

Empirical Inference Book Reinforcement Learning Algorithms: Analysis and Applications Belousov, B., H., A., Klink, P., Parisi, S., Peters, J. 883, Studies in Computational Intelligence, Springer International Publishing, 2021 (Published) DOI BibTeX

Empirical Inference Article Requirement of DNMT1 to orchestrate epigenomic reprogramming for NPM-ALK-driven lymphomagenesis Redl, E., Sheibani-Tezerji, R., Cardona, C. D. J., Hamminger, P., Timelthaler, G., Hassler, M. R., Zrimsek, M., Lagger, S., Dillinger, T., Hofbauer, L., et al. Life Science Alliance, 4(2), 2021 (Published) DOI BibTeX

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