Publications

Empirical Inference Conference Paper Truncated Proposals for scalable and hassle-free simulation-based inference Deistler, M., Gonçalves*, P. J., Macke*, J. H. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 35:23135-23149, (Editors: S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh), Curran Associates, Inc., 36th Annual Conference on Neural Information Processing Systems, December 2022, *equal contribution (Published) arXiv URL BibTeX

Empirical Inference Conference Paper When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment Jin*, Z., Levine*, S., Gonzalez*, F., Kamal, O., Sap, M., Sachan, M., Mihalcea, R., Tenenbaum, J., Schölkopf, B. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), :28458-28473, (Editors: S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh), Curran Associates, Inc., 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), December 2022, *equal contribution (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval Chaudhuri, A., Mancini, M., Chen, Y., Akata, Z., Dutta, A. 33rd British Machine Vision Conference (BMVC), BMVA Press, November 2022 (Published) PDF BibTeX

Empirical Inference Article Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort Studies Kart, T., Fischer, M., Winzeck, S., Glocker, B., Bai, W., Bülow, R., Emmel, C., Friedrich, L., Kauczor, H. U. K. T., Kröncke, T., et al. Scientific Reports, 12(1):article no. 18733, November 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper Distilling Knowledge from Self-Supervised Teacher by Embedding Graph Alignment Ma, Y., Chen, Y., Akata, Z. The 33rd British Machine Vision Conference Proceedings , BMVA Press, The 33rd British Machine Vision Conference (BMVC 2022) , November 2022 (Published) URL BibTeX

Empirical Inference Article Estimation of skeletal kinematics in freely moving rodents Monsees, A., Voit, K., Wallace, D. J., Sawinski, J., Charyasz, E., Scheffler, K., Macke, J. H., Kerr, J. N. D. Nature Methods, 19(11):1500-1509, November 2022 (Published) DOI BibTeX

Empirical Inference Article Quantifying the effects of contact tracing, testing, and containment measures in the presence of infection hotspots Lorch, L., Kremer, H., Trouleau, W., Tsirtsis, S., Szanto, A., Schölkopf, B., Gomez-Rodriguez, M. ACM Transactions on Spatial Algorithms and Systems, 8(4), November 2022 (Published) arXiv DOI URL BibTeX

Empirical Inference Ph.D. Thesis Towards learning mechanistic models at the right level of abstraction Neitz, A. University of Tübingen, Germany, November 2022 (Published) BibTeX

Empirical Inference Conference Paper Temporal and cross-modal attention for audio-visual zero-shot learning Mercea, O., Hummel, T., Koepke, A. S., Akata, Z. Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XX, 13680:488-505, Lecture Notes in Computer Science, (Editors: Shai Avidan and Gabriel J. Brostow and Moustapha Cissé and Giovanni Maria Farinella and Tal Hassner), Springer, 17th European Conference on Computer Vision (ECCV 2022), October 2022 (Published) DOI BibTeX

Empirical Inference Article A Generative Model for Quasar Spectra Eilers, A., Hogg, D. W., Schölkopf, B., Foreman-Mackey, D., Davies, F. B., Schindler, J. The Astrophysical Journal, 938(1), The American Astronomical Society, October 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning Kirchhof, M., Roth, K., Akata, Z., Kasneci, E. Computer Vision - ECCV 2022 - 17th European Conference, Proceedings, Part XXVI, 13686:435-454, 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

Haptic Intelligence Autonomous Learning Empirical Inference Miscellaneous A Soft Vision-Based Tactile Sensor for Robotic Fingertip Manipulation Andrussow, I., Sun, H., Kuchenbecker, K. J., Martius, G. Workshop paper (1 page) presented at the IROS Workshop on Large-Scale Robotic Skin: Perception, Interaction and Control, Kyoto, Japan, October 2022 (Published) URL BibTeX

Empirical Inference Article A whole-body FDG-PET/CT Dataset with manually annotated Tumor Lesions Gatidis, S., Hebb, T., Frueh, M., La Fougère, C., Nikolaou, K., Pfannenberg, C., Schölkopf, B., Kuestner, T., Cyran, C., Rubin, D. Scientific Data, 9, October 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper Abstracting Sketches through Simple Primitives Alaniz, S., Mancini, M., Dutta, A., Marcos, D., Akata, Z. Computer Vision - ECCV 2022 - 17th European Conference, Proceedings, Part XXIX, 13689:396-412, 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 BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks Upadhyay, U., Karthik, S., Chen, Y., Mancini, M., Akata, Z. Computer Vision - ECCV 2022 - 17th European Conference, Proceedings, Part XII, 13672:299-317, 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 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

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