Publications

Autonomous Learning Haptic Intelligence Empirical Inference Article Predicting the Force Map of an ERT-Based Tactile Sensor Using Simulation and Deep Networks Lee, H., Sun, H., Park, H., Serhat, G., Javot, B., Martius, G., Kuchenbecker, K. J. IEEE Transactions on Automation Science and Engineering, 20(1):425-439, January 2023 (Published) DOI BibTeX

Empirical Inference Article Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases Mehrjou*, A., Soleymani*, A., Abyaneh, A., Bhatt, S., Schölkopf, B., Bauer, S. PLOS Computational Biology, 19(1):1-41, January 2023, *equal contribution (Published) DOI BibTeX

Empirical Inference Article Quantum machine learning beyond kernel methods Jerbi, S., Fiderer, L. J., Poulsen Nautrup, H., Kübler, J. M., Briegel, H. J., Dunjko, V. Nature Communications, 14(1), January 2023 (Published) DOI BibTeX

Empirical Inference Article A Deterministic Approximation to Neural SDEs Look, A., Kandemir, M., Rakitsch, B., Peters, J. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(4):4023-4037, 2023 (Published) DOI BibTeX

Empirical Inference Article Altered brain dynamics index levels of arousal in complete locked-in syndrome Zilio, F., Gomez-Pilar, J., Chaudhary, U., Fogel, S., Fomina, T., Synofzik, M., Schöls, L., Cao, S., Zhang, J., Huang, Z., et al. Communications Biology, 6(1), 2023 (Published) DOI BibTeX

Empirical Inference Article Avoiding Shortcut-Learning by Mutual Information Minimization in Deep Learning-Based Image Processing Fay, L., Cobos, E., Yang, B., Gatidis, S., Küstner, T. IEEE Access, 11:64070-64086, 2023 (Published) DOI BibTeX

Movement Generation and Control Empirical Inference Autonomous Motion Article BiConMP: A Nonlinear Model Predictive Control Framework for Whole Body Motion Planning Meduri, A., Shah, P., Viereck, J., Khadiv, M., Havoutis, I., Righetti, L. IEEE Transactions on Robotics, 39(2):905-922, IEEE, 2023 (Published) DOI URL BibTeX

Empirical Inference Miscellaneous Borges und die Künstliche Intelligenz Bottou, L., Schölkopf, B. 2023, published in Frankfurter Allgemeine Zeitung, 18 December 2023, Nr. 294 (Published) PDF BibTeX

Empirical Inference Article Information theoretic measures of causal influences during transient neural events Shao, K., Logothetis, N. K., Besserve, M. Frontiers in Network Physiology, 3, 2023 (Published) DOI URL BibTeX

Empirical Inference Article Metrizing Weak Convergence with Maximum Mean Discrepancies Simon-Gabriel, C., Barp, A., Schölkopf, B., Mackey, L. Journal of Machine Learning Research, 24(184), 2023 (Published) arXiv URL BibTeX

Empirical Inference Article Mimicking Tumor Cell Heterogeneity of Colorectal Cancer in a Patient-derived Organoid-Fibroblast Model Atanasova, V. S., de Jesus Cardona, C., Hejret, V., Tiefenbacher, A., Mair, T., Tran, L., Pfneissl, J., Draganić, K., Binder, C., Kabiljo, J., et al. Cellular and molecular gastroenterology and hepatology, 15(6):1391-1419, 2023 (Published) DOI BibTeX

Empirical Inference Book Chapter Natural Language Processing for Policymaking Jin, Z., Mihalcea, R. In Handbook of Computational Social Science for Policy, :141-162, 7, (Editors: Bertoni, E. and Fontana, M. and Gabrielli, L. and Signorelli, S. and Vespe, M.), Springer International Publishing, 2023 (Published) DOI BibTeX

Empirical Inference Technical Report Synchronizing Machine Learning Algorithms, Realtime Robotic Control and Simulated Environment with o80 Berenz, V., Widmaier, F., Guist, S., Schölkopf, B., Büchler, D. Robot Software Architectures Workshop (RSA) 2023, ICRA, 2023 (Published) arxiv poster URL BibTeX

Empirical Inference Article normflows: A PyTorch Package for Normalizing Flows Stimper, V., Liu, D., Campbell, A., Berenz, V., Ryll, L., Schölkopf, B., Hernández-Lobato, J. M. Journal of Open Source Software, 8(86):5361, The Journal of Open Source Software, 2023 (Published) JOSS GitHub DOI URL BibTeX

Empirical Inference Conference Paper Effective Bayesian Heteroscedastic Regression with Deep Neural Networks Immer, A. P. E. M. A. V. J. E. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), :1-24, Curran Associates Inc., NeurIPS, 2023 (Published) DOI URL BibTeX

Empirical Inference Conference Paper Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures Eschenhagen, R., Immer, A., Turner, R., Schneider, F., Hennig, P. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:33624-33655, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023 (Published) URL BibTeX

Empirical Inference Ph.D. Thesis Less is more: Discovering Redundancies in Data and Neural Network Models for Improved Efficiency, Interpretability and Privacy Adamczewski, K. ETH Zurich, Switzerland, August 2023 (Published) BibTeX

Empirical Inference Article Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography Li, Y. W. Y. W. Z. L. X. C. T. H. L. R. Z. Z. X. H. L. D. R. G. Y. N. J. M. A. R. M. B. S. L. H. B. I. S. L. T. G. B. Nature Communications, 14:7410, 2023 (Published) DOI URL BibTeX

Human Aspects of Machine Learning Empirical Inference Conference Paper Robustness implies fairness in causal algorithmic recourse. Ehyaei, A., Karimi, A., Schölkopf, B., Maghsudi, S. In 2023 (Published) BibTeX

Empirical Inference Ph.D. Thesis Stochastic Predictive Control for Legged Robots Gazar, A. University of Tübingen, Germany, December 2023 (Published) DOI BibTeX

Haptic Intelligence Autonomous Learning Empirical Inference Miscellaneous A Sequential Group VAE for Robot Learning of Haptic Representations Richardson, B. A., Kuchenbecker, K. J., Martius, G. :1-11, Workshop paper (8 pages) presented at the CoRL Workshop on Aligning Robot Representations with Humans, Auckland, New Zealand, December 2022 (Published) URL BibTeX

Empirical Inference Article A survey of algorithmic recourse: contrastive explanations and consequential recommendations Karimi, A., Barthe, G., Schölkopf, B., Valera, I. ACM Computing Surveys, 55(5), Association for Computing Machinery (ACM), December 2022 (Published) arXiv DOI URL BibTeX

Empirical Inference Conference Paper Active Bayesian Causal Inference Toth, C., Lorch, L., Knoll, C., Krause, A., Pernkopf, F., Peharz*, R., von Kügelgen*, J. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 35:16261-16275, (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, *shared last author (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Amortized Inference for Causal Structure Learning Lorch, L., Sussex, S., Rothfuss, J., Krause, A., Schölkopf, B. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 35:13104-13118, (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 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper AutoML Two-Sample Test Kübler, J. M., Stimper, V., Buchholz, S., Muandet, K., Schölkopf, B. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 35:15929-15941, (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 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis Perry, R., von Kügelgen*, J., Schölkopf*, B. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), :10904-10917, (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, *shared last author (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Decoding Attention from Gaze: A Benchmark Dataset and End-to-End Models Uppal, K., Kim, J., Singh, S. Proceedings of The 1st Gaze Meets ML workshop in conjunction with NeurIPS 2022, 210:219-240, Proceedings of Machine Learning Research, (Editors: Lourentzou, Ismini and Wu, Joy and Kashyap, Satyananda and Karargyris, Alexandros and Celi, Leo Anthony and Kawas, Ban and Talathi, Sachin), PMLR, December 2022 (Published) PDF URL BibTeX

Empirical Inference Conference Paper Differentially Private Language Models for Secure Data Sharing Mattern, J., Jin, Z., Weggenmann, B., Schölkopf, B., Sachan, M. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), :4860-4873, (Editors: Yoav Goldberg and Zornitsa Kozareva and Yue Zhang), Association for Computational Linguistics, The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022) , December 2022 (Published) arXiv DOI URL BibTeX

Empirical Inference Conference Paper Direct Advantage Estimation Pan, H., Gürtler, N., Neitz, A., Schölkopf, B. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 35:11869-11880, (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, *also at 15th European Workshop on Reinforcement Learning (EWRL 2022) (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Efficient identification of informative features in simulation-based inference Beck, J., Deistler, M., Bernaerts, Y., Macke, J. H., Berens, P. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 35:19260-19273, (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 (Published) URL BibTeX

Empirical Inference Autonomous Learning Robust Machine Learning Conference Paper Embrace the Gap: VAEs Perform Independent Mechanism Analysis Reizinger*, P., Gresele*, L., Brady*, J., von Kügelgen, J., Zietlow, D., Schölkopf, B., Martius, G., Brendel, W., Besserve, M. Advances in Neural Information Processing Systems (NeurIPS 2022), 35:12040-12057, (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 first authorship (Published) Arxiv PDF URL BibTeX

Empirical Inference Conference Paper Exploring the Latent Space of Autoencoders with Interventional Assays Leeb, F., Bauer, S., Besserve, M., Schölkopf, B. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 35:21562-21574, (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 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Function Classes for Identifiable Nonlinear Independent Component Analysis Buchholz, S., Besserve, M., Schölkopf, B. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 35:16946-16961, (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 (Published) arXiv URL BibTeX

Empirical Inference Article Generalized Few-Shot Video Classification With Video Retrieval and Feature Generation Xian, Y., Korbar, B., Douze, M., Torresani, L., Schiele, B., Akata, Z. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(12):8949-8961, December 2022 (Published) DOI URL BibTeX

Empirical Inference Conference Paper Interventions, Where and How? Experimental Design for Causal Models at Scale Tigas, P., Annadani, Y., Jesson, A., Schölkopf, B., Gal, Y., Bauer, S. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 35:24130-24143, (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 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations Immer, A., van der Ouderaa, T. F. A., Rätsch, G., Fortuin, V., van der Wilk, M. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 35:12449-12463, (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 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Learning Random Feature Dynamics for Uncertainty Quantification Agudelo-España, D., Nemmour, Y., Schölkopf, B., Zhu, J. 2022 IEEE 61st IEEE Conference on Decision and Control (CDC), :4937-4944, IEEE, 61st IEEE Conference on Decision and Control (CDC 2022), December 2022 (Published) PDF DOI URL BibTeX

Empirical Inference Autonomous Learning Conference Paper Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks Wochner, I., Schumacher, P., Martius, G., Büchler, D., Schmitt, S., Haeufle, D. Proceedings of the 6th Conference on Robot Learning (CoRL), 205:1178-1188, Proceedings of Machine Learning Research, (Editors: Liu, Karen and Kulic, Dana and Ichnowski, Jeff), PMLR, December 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Logical Fallacy Detection Jin, Z., Lalwani, A., Vaidhya, T., Shen, X., Ding, Y., Lyu, Z., Sachan, M., Mihalcea, R., Schölkopf, B. Findings of the Association for Computational Linguistics: EMNLP 2022, :7180-7198, (Editors: Goldberg, Yoav and Kozareva, Zornitsa and Zhang, Yue), Association for Computational Linguistics, The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022) , December 2022 (Published) arXiv DOI URL BibTeX

Empirical Inference Conference Paper Maximum Mean Discrepancy Distributionally Robust Nonlinear Chance-Constrained Optimization with Finite-Sample Guarantee Nemmour, Y., Kremer, H., Schölkopf, B., Zhu, J. IEEE 61st Conference on Decision and Control (CDC), :5660-5667, December 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper Neural Attentive Circuits Weiss*, M., Rahaman*, N., Locatello, F., Pal, C., Bengio, Y., Schölkopf, B., Li, E. L., Ballas, N. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 35:7741-7754, (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 Optimal Binary Classification Beyond Accuracy Singh, S., Khim, J. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), :18226-18240, (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 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks Kristiadi, A., Eschenhagen, R., Hennig, P. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), :30333-30346, (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 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Posterior and Computational Uncertainty in Gaussian Processes Wenger, J., Pleiss, G., Pförtner, M., Hennig, P., Cunningham, J. P. Advances in Neural Information Processing Systems 35 , :10876-10890, (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 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Probable Domain Generalization via Quantile Risk Minimization Eastwood, C., Robey, A., Singh, S., von Kügelgen, J., Hassani, H., Pappas, G. J., Schölkopf, B. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 35:17340-17358, (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 (Published) arXiv URL BibTeX

Empirical Inference Proceedings Proceedings of the Second Workshop on NLP for Positive Impact (NLP4PI) Biester, L., Demszky, D., Jin, Z., Sachan, M., Tetreault, J., Wilson, S., Xiao, L., Zhao, J. Association for Computational Linguistics, December 2022 (Published) URL BibTeX

Empirical Inference Autonomous Learning Conference Paper Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World Gürtler, N., Widmaier, F., Sancaktar, C., Blaes, S., Kolev, P., Bauer, S., Wüthrich, M., Wulfmeier, M., Riedmiller, M., Allshire, A., et al. Proceedings of the NeurIPS 2022 Competitions Track, 220:133-150, Proceedings of Machine Learning Research, (Editors: Ciccone, Marco and Stolovitzky, Gustavo and Albrecht, Jacob), PMLR, December 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Relational Proxies: Emergent Relationships as Fine-Grained Discriminators Chaudhuri, A., Mancini, M., Akata, Z., Dutta, A. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), :31145-31157, (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 (Published) URL BibTeX

Empirical Inference Learning and Dynamical Systems Conference Paper Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization Das, A., Schölkopf, B., Muehlebach, M. Advances in Neural Information Processing Systems 35, :6749-6762, (Editors: S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh), 36th Conference on Neural Information Processing Systems (NeurIPS 2022) , December 2022 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse Noci*, L., Sotiris*, A., Biggio*, L., Orvieto*, A., Singh*, S. P., Lucchi, A. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 35:27198-27211, (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

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