Publications

Empirical Inference Article Half-sibling regression meets exoplanet imaging: PSF modeling and subtraction using a flexible, domain knowledge-driven, causal framework Gebhard, T. D., Bonse, M. J., Quanz, S. P., B., S. Astronomy \& Astrophysics, 666, October 2022 (Published) DOI URL BibTeX

Empirical Inference Master Thesis Investigating Independent Mechanisms in Neural Networks Liang, W. Université Paris-Saclay, France, October 2022 (Published) BibTeX

Empirical Inference Ph.D. Thesis Learning Causal Representations for Generalization and Adaptation in Supervised, Imitation, and Reinforcement Learning Lu, C. University of Cambridge, UK, Cambridge, October 2022, (Cambridge-Tübingen-Fellowship) (Published) BibTeX

Empirical Inference Ph.D. Thesis Learning Time-Continuous Dynamics Models with Gaussian-Process-Based Gradient Matching Wenk, P. ETH Zurich, Switzerland, October 2022, CLS PhD Program (Published) BibTeX

Empirical Inference Master Thesis Modeling subgroup differences in fMRI data: disentangling subgroup-specific responses from shared ones Keidar, D. ETH Zurich, Switzerland, October 2022 (Published) BibTeX

Empirical Inference Article Sample-Efficient Policy Adaptation for Exoskeletons Under Variations in the Users and the Environment Shahrokhshahi, A., Khadiv, M., Taherifar, A., Mansouri, S., Park, E. J., Arzanpour, S. IEEE Robotics and Automation Letters, 7(4):9020-9027, October 2022 (Published) DOI BibTeX

Empirical Inference Article Self-supervised learning for automated anatomical tracking in medical image data with minimal human labeling effort Frueh, M., Kuestner, T., Nachbar, M., Thorwarth, D., Schilling, A., Gatidis, S. Computer Methods and Programs in Biomedicine, 225:107085, October 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper Structural Causal 3D Reconstruction Liu, W., Liu, Z., Paull, L., Weller, A., Schölkopf, B. Computer Vision - ECCV 2022 - 17th European Conference, Proceedings, Part I, 13661:140-159, Lecture Notes in Computer Science, (Editors: Shai Avidan and Gabriel J. Brostow and Moustapha Cissé and Giovanni Maria Farinella and Tal Hassner), Springer, October 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper Adversarial Robustness of MR Image Reconstruction Under Realistic Perturbations Morshuis, J. N., Gatidis, S. A. H. M., Baumgartner, C. F. Machine Learning for Medical Image Reconstruction (MLMIR 2022) , 13587:24-33, Lecture Notes in Computer Science, (Editors: Haq, Nandinee and Johnson, Patricia and Maier, Andreas and Qin, Chen and Würfl, Tobias and Yoo, Jaejun), Springer International Publishing, 5th International Workshop on Machine Learning for Medical Image Reconstruction (MLMIR 2022) , September 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper Any-Shot GIN: Generalizing Implicit Networks for Reconstructing Novel Classes Xian, Y., Chibane, J., Bhatnagar, B. L., Schiele, B., Akata, Z., Pons-Moll, G. International Conference on 3D Vision (3DV), 526-535, September 2022 (Published) DOI URL BibTeX

Empirical Inference Article Causal Feature Selection via Orthogonal Search Soleymani*, A., Raj*, A., Bauer, S., Schölkopf, B., Besserve, M. Transactions on Machine Learning Research, September 2022, *equal contribution (Published) URL BibTeX

Empirical Inference Talk Causality, causal digital twins, and their applications Schölkopf, B. Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling (Dagstuhl Seminar 22382), (Editors: Berens, Philipp and Cranmer, Kyle and Lawrence, Neil D. and von Luxburg, Ulrike and Montgomery, Jessica), September 2022 (Published) DOI URL BibTeX

Empirical Inference Article Energy-efficient network activity from disparate circuit parameters Deistler, M., Macke, J. H., Gonçalves, P. J. Proceedings of the National Academy of Sciences, 119(44), September 2022 (Published) DOI BibTeX

Empirical Inference Master Thesis Independent Mechanism Analysis for High Dimensions Sliwa, J. University of Tübingen, Germany, September 2022, (Graduate Training Centre of Neuroscience) (Published) BibTeX

Empirical Inference Ph.D. Thesis Methods for Minimizing the Spread of Misinformation on the Web Tabibian, B. University of Tübingen, Germany, September 2022 (Published) BibTeX

Empirical Inference Master Thesis Multi-Target Multi-Object Manipulation using Relational Deep Reinforcement Learning Feil, M. Technnical University Munich, Germany, September 2022 (Published) BibTeX

Empirical Inference Conference Paper Can Large Language Models Distinguish Cause from Effect? Lyu, Z., Jin, Z., Mihalcea, R., Sachan, M., Schölkopf, B. UAI 2022 Workshop on Causal Representation Learning, August 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Learning soft interventions in complex equilibrium systems Besserve, M., Schölkopf, B. Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, 180:170-180, Proceedings of Machine Learning Research, (Editors: Cussens, James and Zhang, Kun), PMLR, The 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022) , August 2022 (Published) URL BibTeX

Movement Generation and Control Empirical Inference Article Model-free reinforcement learning for robust locomotion using demonstrations from trajectory optimization Bogdanovic, M., Khadiv, M., Righetti, L. Frontiers in Robotics and AI, 9, August 2022 (Published) DOI BibTeX

Empirical Inference Master Thesis On the Adversarial Robustness of Causal Algorithmic Recourse Dominguez-Olmedo, R. University of Tübingen, Germany, August 2022 (Published) BibTeX

Empirical Inference Article Optimal Client Sampling for Federated Learning Chen, W., Horváth, S., Richtárik, P. Transactions on Machine Learning Research, August 2022 (Published) URL BibTeX

Empirical Inference Article Probabilistic solvers enable a straight-forward exploration of numerical uncertainty in neuroscience models Oesterle, J., Krämer, N., P., H., Berens, P. Journal of Computational Neuroscience, 50(4):485-503, August 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper Probing the Robustness of Independent Mechanism Analysis for Representation Learning Sliwa, J., Ghosh, S., Stimper, V., Gresele, L., Schölkopf, B. UAI 2022 Workshop on Causal Representation Learning (UAI CRL 2022), 1st Workshop on Causal Representation Learning at the 38th Conference on Uncertainty in Artificial Intelligence (UAI CRL 2022) , August 2022 (Published) arXiv URL BibTeX

Empirical Inference Article Real Time Landmark Detection for Within- and Cross Subject Tracking With Minimal Human Supervision Frueh, M., Schilling, A., Gatidis, S., Kuestner, T. IEEE Access, 10:81192-81202, August 2022 (Published) DOI BibTeX

Empirical Inference Article Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Chen, Y., Mancini, M., Zhu, X., Akata, Z. IEEE Transactions on Pattern Analysis and Machine Intelligence, August 2022, *early access (Published) DOI BibTeX

Empirical Inference Conference Paper A Hierarchical Model of Attention over Time Kim, J., Singh, S., Yurovsky, D., Fisher, A. A. E. In Proceedings of the 44th Annual Meeting of the Cognitive Science Society (Cogsci 2022), 350-357 , (Editors: J. Culbertson and A. Perfors and H. Rabagliati and V. Ramenzoni), 44st Annual Meeting of the Cognitive Science Society (CogSci 2022) , July 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Action-Sufficient State Representation Learning for Control with Structural Constraints Huang*, B., Lu*, C., Leqi, L., Hernandez-Lobato, J. M., Glymour, C., Schölkopf, B., Zhang, K. Proceedings of the 39th International Conference on Machine Learning (ICML), 162:9260-9279, (Editors: Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan), PMLR, July 2022, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper Adapting the Linearised Laplace Model Evidence for Modern Deep Learning Antoran, J., Janz, D., Allingham, J. U., Daxberger, E., Barbano, R. R., Nalisnick, E., Hernandez-Lobato, J. M. Proceedings of the 39th International Conference on Machine Learning (ICML), 162:796-821, (Editors: Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan), PMLR, July 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Causal Inference Through the Structural Causal Marginal Problem Gresele*, L., von Kügelgen*, J., Kübler*, J. M., Kirschbaum, E., Schölkopf, B., Janzing, D. Proceedings of the 39th International Conference on Machine Learning (ICML), 162:7793-7824, (Editors: Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan), PMLR, July 2022, *equal contribution (Published) URL BibTeX

Empirical Inference Article Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations Bing, S., Dittadi, A., Bauer, S., Schwab, P. PLOS Digital Health, 1(7):e0000074, July 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper Fenrir: Physics-Enhanced Regression for Initial Value Problems Tronarp, F., Bosch, N., Hennig, P. Proceedings of the 39th International Conference on Machine Learning (ICML), 162:21776-21794, (Editors: Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan), PMLR, July 2022 (Published) URL BibTeX

Empirical Inference Article Flexible and efficient simulation-based inference for models of decision-making Boelts, J., Lueckmann, J., Gao, R., Macke, J. H. eLife, 11:e77220, eLife Sciences Publications, Ltd, July 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper From statistical to causal learning Schölkopf*, B., von Kügelgen*, J. Proceedings of the International Congress of Mathematicians (ICM), VII:5540-5593, EMS Press, July 2022, *equal contribution (Published) arXiv DOI URL BibTeX

Empirical Inference Conference Paper Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions Kremer, H., Zhu, J., Muandet, K., Schölkopf, B. Proceedings of the 39th International Conference on Machine Learning (ICML), 162:11665-11682, (Editors: Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan), PMLR, July 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Generalization and Robustness Implications in Object-Centric Learning Dittadi, A., Papa, S. S., De Vita, M., Schölkopf, B., Winther, O., Locatello, F. Proceedings of the 39th International Conference on Machine Learning (ICML), 162:5221-5285, (Editors: Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan), PMLR, July 2022 (Published) URL BibTeX

Empirical Inference Human Aspects of Machine Learning Conference Paper Hermite Polynomial Features for Private Data Generation Vinaroz*, M., Charusaie*, M., Harder, F., Adamczewski, K., Park, M. J. Proceedings of the 39th International Conference on Machine Learning (ICML), 162:22300-22324, Proceedings of Machine Learning Research, (Editors: Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan), PMLR, July 2022, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper Indirect Active Learning Singh, S. ICML Workshop on Adaptive Experimental Design and Active Learning in the Real World (ReALML), July 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Kernel interpolation in Sobolev spaces is not consistent in low dimensions Buchholz, S. In Proceedings of 35th Conference on Learning Theory (COLT), 178:3410-3440, Proceedings of Machine Learning Research, (Editors: Loh, Po-Ling and Raginsky, Maxim), PMLR, July 2022 (Published) URL BibTeX

Empirical Inference Ph.D. Thesis Learning and Using Causal Knowledge: A Further Step Towards a Higher-Level Intelligence Huang, B. Carnegie Mellon University, July 2022, external supervision (Published) BibTeX

Empirical Inference Conference Paper On the Adversarial Robustness of Causal Algorithmic Recourse Dominguez-Olmedo, R., Karimi, A., Schölkopf, B. Proceedings of the 39th International Conference on Machine Learning (ICML), 162:5324-5342, (Editors: Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan), PMLR, July 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance Ni, J., Jin, Z., Freitag, M., Sachan, M., Schölkopf, B. In Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 5303-5320, (Editors: Marine Carpuat and Marie-Catherine de Marneffe and Iván Vladimir Meza Ruı́z), Association for Computational Linguistics, July 2022 (Published) arXiv DOI URL BibTeX

Empirical Inference Conference Paper Preconditioning for Scalable Gaussian Process Hyperparameter Optimization Wenger, J., Pleiss, G., Hennig, P., Cunningham, J., Gardner, J. Proceedings of the 39th International Conference on Machine Learning (ICML), 162:23751-23780, (Editors: Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan), PMLR, July 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Probabilistic ODE Solutions in Millions of Dimensions Krämer, N., Bosch, N., Schmidt, J., Hennig, P. Proceedings of the 39th International Conference on Machine Learning (ICML), 162:11634-11649, Proceedings of Machine Learning Research , (Editors: Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan), PMLR, 39th International Conference on Machine Learning (ICML 2022) , July 2022 (Published) URL BibTeX

Empirical Inference Article The Achievement Motive in the Brain: BOLD Responses to Pictures of Challenging Activities Predicted by Implicit Versus Explicit Achievement Motives Quirin, M., Loktyushin, A., Küstermann, E., Kuhl, J. Frontiers in Psychology, 13:845910, July 2022 (Published) DOI BibTeX

Probabilistic Learning Group Empirical Inference Conference Paper Don’t Throw it Away! The Utility of Unlabeled Data in Fair Decision Making Rateike, M., Majumdar, A., Mineeva, O., Gummadi, K. P., Valera, I. In FAccT ’22: 2022 ACM Conference on Fairness, Accountability, and Transparency, 1421-1433, ACM, New York, NY, 5th ACM Conference on Fairness, Accountability, and Transparency (FAccT 2022), June 2022 (Published) DOI BibTeX

Empirical Inference Learning and Dynamical Systems Conference Paper A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles Ma, H., Büchler, D., Schölkopf, B., Muehlebach, M. Proceedings of Robotics: Science and Systems XVIII (R:SS 2022), 18, (Editors: Kris Hauser, Dylan Shell, and Shoudong Huang), Robotics: Science and Systems XVIII, June 2022 (Published) PDF DOI URL BibTeX

Empirical Inference Conference Paper Attention Consistency on Visual Corruptions for Single-Source Domain Generalization Cugu, I., Mancini, M., Chen, Y., Akata, Z. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 4164-4173, IEEE, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2022) , June 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper Audio-visual Generalised Zero-shot Learning with Cross-modal Attention and Language Mercea, O., Riesch, L., Koepke, A. S., Akata, Z. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 10553-10563, June 2022 (Published) arXiv URL BibTeX

Empirical Inference Article Combination of Whole-Body Baseline CT Radiomics and Clinical Parameters to Predict Response and Survival in a Stage-IV Melanoma Cohort Undergoing Immunotherapy Peisen, F., Hänsch, A., Hering, A., Brendlin, A. S., Afat, S., Nikolaou, K., Gatidis, S., Eigentler, T., Amaral, T., Moltz, J. H., Othman, A. E. Cancers, 14(12):2992, June 2022 (Published) DOI BibTeX

Empirical Inference Master Thesis Independent Mechanism Analysis in High-Dimensional Observation Spaces Ghosh, S. ETH Zurich, Switzerland, June 2022 (Published) BibTeX

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