Publications

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

Empirical Inference Haptic Intelligence Perceiving Systems Physical Intelligence Robotic Materials MPI Year Book Scientific Report 2016 - 2021 2021 Scientific Report 2016 - 2021 BibTeX

Empirical Inference Article Simpson’s paradox in Covid-19 case fatality rates: a mediation analysis of age-related causal effects von Kügelgen*, J., Gresele*, L., Schölkopf, B. IEEE Transactions on Artificial Intelligence, 2(1):18-27, IEEE Computer Society, 2021, *equal contribution (Published) arXiv DOI URL BibTeX

Empirical Inference Article Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images Kondmann, L., Toker, A., Saha, S., Schölkopf, B., Leal-Taixé, L., Zhu, X. IEEE Transactions on Geoscience and Remote Sensing, 60, 2021 (Published) arXiv DOI URL BibTeX

Empirical Inference Article Toward Causal Representation Learning Schölkopf*, B., Locatello*, F., Bauer, S., Ke, N. R., Kalchbrenner, N., Goyal, A., Bengio, Y. Proceedings of the IEEE, 109(5):612-634, 2021, *equal contribution (Published) DOI URL BibTeX

Empirical Inference Miscellaneous Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger Allshire, A., Mittal, M., Lodaya, V., Makoviychuk, V., Makoviichuk, D., Widmaier, F., Wüthrich, M., Bauer, S., Handa, A., Garg, A. 2021 arXiv BibTeX

Empirical Inference Conference Paper A Class of Algorithms for General Instrumental Variable Models Kilbertus, N., Kusner, M. J., Silva, R. Advances of Neural Information Processing Systems 33 (NeurIPS 2020), 33:20108-20119, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates Inc., 34th Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings Park, J., Muandet, K. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 21247-21259, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Probabilistic Learning Group Conference Paper Algorithmic recourse under imperfect causal knowledge: a probabilistic approach Karimi*, A., von Kügelgen*, J., Schölkopf, B., Valera, I. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 265-277, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020, *equal contribution (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Barking up the right tree: an approach to search over molecule synthesis DAGs Bradshaw, J., Paige, B., Kusner, M., Segler, M., Hernández-Lobato, J. M. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 6852-6866, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Ph.D. Thesis Causal Feature Selection in Neuroscience Mastakouri, A. University of Tübingen, Germany, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Causal analysis of Covid-19 Spread in Germany Mastakouri, A., Schölkopf, B. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 3153-3163, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Dual Instrumental Variable Regression Muandet, K., Mehrjou, A., Lee, S. K., Raj, A. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2710-2721, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Learning Kernel Tests Without Data Splitting Kübler, J. M., Jitkrittum, W., Schölkopf, B., Muandet, K. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 6245-6255, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Modeling Shared responses in Neuroimaging Studies through MultiView ICA Richard, H., Gresele, L., Hyvärinen, A., Thirion, B., Gramfort, A., Ablin, P. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 19149-19162, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., Red Hook, NY, 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Object-Centric Learning with Slot Attention Locatello, F., Weissenborn, D., Unterthiner, T., Mahendran, A., Heigold, G., Uszkoreit, J., Dosovitskiy, A., Kipf, T. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 11525-11538, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Probabilistic Linear Solvers for Machine Learning Wenger, J., Hennig, P. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 6731-6742, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Probabilistic Learning Group Conference Paper Relative gradient optimization of the Jacobian term in unsupervised deep learning Gresele, L., Fissore, G., Javaloy, A., Schölkopf, B., Hyvarinen, A. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 16567-16578, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining Tripp, A., Daxberger, E., Hernández-Lobato, J. M. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 11259-11272, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Self-Paced Deep Reinforcement Learning Klink, P., D’Eramo, C., Peters, J., Pajarinen, J. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 9216-9227, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Stochastic Stein Discrepancies Gorham, J., Raj, A., Mackey, L. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 17931-17942, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Worst-Case Risk Quantification under Distributional Ambiguity using Kernel Mean Embedding in Moment Problem Zhu, J., Jitkrittum, W., Diehl, M., Schölkopf, B. In 59th IEEE Conference on Decision and Control (CDC), 3457-3463, IEEE, December 2020 (Published) arXiv DOI BibTeX

Empirical Inference Conference Paper MATE: Plugging in Model Awareness to Task Embedding for Meta Learning Chen, X., Wang, Z., Tang, S., Muandet, K. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 11865-11877, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning Shaj, V., Becker, P., Büchler, D., Pandya, H., van Duijkeren, N., Taylor, C. J., Hanheide, M., Neumann, G. Proceedings of the 4th Conference on Robot Learning (CoRL), 155:765-781, Proceedings of Machine Learning Research, (Editors: Jens Kober and Fabio Ramos and Claire J. Tomlin), PMLR, November 2020 (Published) PDF URL BibTeX

Empirical Inference Conference Paper Advances in Human-Robot Handshaking Prasad, V., Stock-Homburg, R., Peters, J. Social Robotics - 12th International Conference (ICSR), 12483:478-489, Lecture Notes in Computer Science, (Editors: Wager, A. R. and Feil-Seifer, D. and Haring, K. S. and Rossi, S. and Willians, T. and He, H. and Sam Ge, S.), Springer, November 2020 (Published) DOI BibTeX

Empirical Inference Ph.D. Thesis Enforcing and Discovering Structure in Machine Learning Locatello, F. ETH Zurich, Switzerland, November 2020, (CLS Fellowship Program) (Published) BibTeX

Perceiving Systems Empirical Inference Conference Paper Grasping Field: Learning Implicit Representations for Human Grasps Karunratanakul, K., Yang, J., Zhang, Y., Black, M., Muandet, K., Tang, S. In 2020 International Conference on 3D Vision (3DV 2020), 333-344, IEEE, Piscataway, NJ, International Conference on 3D Vision (3DV 2020), November 2020 (Published) pdf arXiv code DOI BibTeX

Empirical Inference Conference Paper High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards Ploeger, K., Lutter, M., Peters, J. Proceedings of the 4th Conference on Robot Learning (CoRL), 155:642-653, Proceedings of Machine Learning Research, (Editors: Jens Kober and Fabio Ramos and Claire J. Tomlin), PMLR, November 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis Xing, X., Jin, Z., Jin, D., Wang, B., Zhang, Q., Huang, X. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 3594-3605, (Editors: Bonnie Webber, Trevor Cohn, Yulan He, and Yang Liu), Association for Computational Linguistics, Online, November 2020 (Published) PDF DOI URL BibTeX

Empirical Inference Autonomous Motion Movement Generation and Control Conference Paper TriFinger: An Open-Source Robot for Learning Dexterity Wüthrich, M., Widmaier, F., Grimminger, F., Akpo, J., Joshi, S., Agrawal, V., Hammoud, B., Khadiv, M., Bogdanovic, M., Berenz, V., et al. Proceedings of the 4th Conference on Robot Learning (CoRL), 155:1871-1882, Proceedings of Machine Learning Research, (Editors: Jens Kober and Fabio Ramos and Claire J. Tomlin), PMLR, November 2020 (Published) PDF URL BibTeX

Empirical Inference Master Thesis A Comprehensive Benchmark Evaluation of Synthetic Data Generation for Biomedical Imaging DuMont Schütte, A. ETH Zurich, Switzerland, October 2020 (Published) BibTeX

Empirical Inference Master Thesis A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning Ahmed, O. ETH Zurich, Switzerland, October 2020 (Published) BibTeX

Empirical Inference Article Exploring the Relationship Between EMG Feature Space Characteristics and Control Performance in Machine Learning Myoelectric Control Franzke, A. W., Kristoffersen, M. B., Jayaram, V., Sluis, C. K. V. D., Murgia, A., Bongers, R. M. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29:21-30, IEEE, October 2020 (Published) DOI BibTeX

Empirical Inference Article Fully Automated and Standardized Segmentation of Adipose Tissue Compartments via Deep Learning in 3D Whole-Body MRI of Epidemiologic Cohort Studies Küstner, T., Hepp, T., Fischer, M., Schwartz, M., Fritsche, A., Häring, H., Nikolaou, K., Bamberg, F., Yang, B., Schick, F., et al. Radiology: Artificial Intelligence, 2(6), October 2020 (Published) DOI BibTeX

Empirical Inference Conference Paper MYND: Unsupervised Evaluation of Novel BCI Control Strategies on Consumer Hardware Hohmann, M. R., Konieczny, L., Hackl, M., Wirth, B., Zaman, T., Enficiaud, R., Grosse-Wentrup, M., Schölkopf, B. Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology (UIST), 1071-1084, Association for Computing Machinery, October 2020 (Published) arXiv DOI BibTeX

Empirical Inference Ph.D. Thesis Beyond traditional assumptions in fair machine learning Kilbertus, N. University of Cambridge, UK, September 2020, (Cambridge-Tübingen-Fellowship) (Published) BibTeX

Empirical Inference Conference Paper Detection of diabetes from whole-body magnetic resonance imaging using deep learning Wagner, R., Dietz, B., Machann, J., Schwab, P., Dienes, J., Reichert, S., Birkenfeld, A. L., Haering, H., Schick, F., Stefan, N., et al. Diabetologia - 56th EASD Annual Meeting of the European Association for the Study of Diabetes, 63(1-supplement):551, September 2020 (Published) Poster URL BibTeX

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