Publications

Empirical Inference Conference Paper Flow Matching for Scalable Simulation-Based Inference Wildberger*, J., Dax*, M., Buchholz*, S., Green, S. R., Macke, J. H., Schölkopf, B. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:16837-16864, (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, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation Gao*, R., Deistler*, M., Macke, J. H. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:80191-80219, (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, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper Learning Endogenous Representation in Reinforcement Learning via Advantage Estimation Pan, H., Schölkopf, B. Causal Representation Learning Workshop at NeurIPS 2023, December 2023 (Published) URL BibTeX

Empirical Inference Conference Paper Learning Layer-wise Equivariances Automatically using Gradients van der Ouderaa, T., Immer, A., van der Wilk, M. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:28365-28377, (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 Conference Paper Learning Linear Causal Representations from Interventions under General Nonlinear Mixing Buchholz*, S., Rajendran*, G., Rosenfeld, E., Aragam, B., Schölkopf, B., Ravikumar, P. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:45419-45462, (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, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference Confavreux*, B., Ramesh*, P., Goncalves, P. J., Macke, J. H., Vogels, T. P. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:13545-13558, (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, *equal contribution (Published) URL BibTeX

Empirical Inference Article Multimodal learning in clinical proteomics: enhancing antimicrobial resistance prediction models with chemical information Visonà, G., Duroux, D., Miranda, L., Sükei, E., Li, Y., Borgwardt, K., Oliver, C. Bioinformatics, 39(12), December 2023 (Published) DOI BibTeX

Empirical Inference Conference Paper Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning Munkhoeva, M., Oseledets, I. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:60712-60723, (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 Conference Paper Nonparametric Identifiability of Causal Representations from Unknown Interventions von Kügelgen, J., Besserve, M., Liang, W., Gresele, L., Kekić, A., Bareinboim, E., Blei, D., Schölkopf, B. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:48603-48638, (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 Conference Paper Nonparametric Teaching for Multiple Learners Zhang, C., Cao, X., Liu, W., Tsang, I. W., Kwok, J. T. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:7756-7786, (Editors: A. Oh and T. Naumann 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 Conference Paper On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series Kuznetsova*, R., Pace*, A., Burger*, M., Yèche, H., Rätsch, G. Proceedings of the 3rd Machine Learning for Health Symposium (ML4H) , 225:268-291, Proceedings of Machine Learning Research, (Editors: Hegselmann, S.and Parziale, A. and Shanmugam, D. and Tang, S. and Asiedu, M. N. and Chang, S. and Hartvigsen, T. and Singh, H.), PMLR, December 2023, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper SE(3) Equivariant Augmented Coupling Flows Midgley*, L. I., Stimper*, V., Antorán*, J., Mathieu*, E., Schölkopf, B., Hernández-Lobato, J. M. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:79200-79225, (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, *equal contribution (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent Lin*, J. A., Antorán*, J., Padhy*, S., Janz, D., Hernández-Lobato, J. M., Terenin, A. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:36886-36912, (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, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features Eastwood*, C., Singh*, S., Nicolicioiu, A. L., Vlastelica, M., von Kügelgen, J., Schölkopf, B. In Advances in Neural Information Processing Systems 36, 36:18291-18324, (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, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features Eastwood*, C., Singh*, S., Nicolicioiu, A. L., Vlastelica, M., von Kügelgen, J., Schölkopf, B. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:18291-18324, (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, *equal contribution (Published) URL BibTeX

Empirical Inference Learning and Dynamical Systems IT Services Robotics Conference Paper A Robust Open-source Tendon-driven Robot Arm for Learning Control of Dynamic Motions Guist, S., Schneider, J., Ma, H., Berenz, V., Martus, J., Grüninger, F., Muehlebach, M., Fiene, J., Schölkopf, B., Büchler, B. RoboLetics: Workshop on Robot Learning in Athletics @CoRL 2023, November 2023 (Published) URL BibTeX

Empirical Inference Article Data-Efficient Learning via Minimizing Hyperspherical Energy Cao, X., Liu, W., Tsang, I. W. IEEE transactions on pattern analysis and machine intelligence, 45(11):13422-13437, November 2023 (Published) DOI BibTeX

Empirical Inference Article Deep learning-based age estimation from clinical Computed Tomography image data of the thorax and abdomen in the adult population Kerber, B., Hepp, T., Küstner, T., Gatidis, S. PLOS ONE, 18(11), November 2023 (Published) DOI BibTeX

Empirical Inference Article Kernel-Based Independence Tests for Causal Structure Learning on Functional Data Laumann, F., von Kügelgen, J., Park, J., Schölkopf, B., Barahona, M. Entropy, 25(12), November 2023 (Published) DOI BibTeX

Empirical Inference Bachelor Thesis Navigating the Ocean of Biases: Political Bias Attribution in Language Models via Causal Structures Jenny, D. ETH Zurich, Switzerland, November 2023, external supervision (Published) BibTeX

Empirical Inference Article Variational Causal Dynamics: Discovering Modular World Models from Interventions Lei, A., Schölkopf, B., Posner, I. Transactions on Machine Learning Research, November 2023 (Published) URL BibTeX

Empirical Inference Article A taxonomy and review of generalization research in NLP Hupkes, D., Giulianelli, M., Dankers, V., Artetxe, M., Elazar, Y., Pimentel, T., Christodoulopoulos, C., Lasri, K., Saphra, N., Sinclair, A., et al. Nature Machine Intelligence, 5(10):1161-1174, October 2023 (Published) DOI BibTeX

Empirical Inference Article Artificial Intelligence in Oncological Hybrid Imaging Feuerecker, B., Heimer, M. M., Geyer, T., Fabritius, M. P., Gu, S., Schachtner, B., Beyer, L., Ricke, J., Gatidis, S., Ingrisch, M., et al. Nuklearmedizin, 62(5):296-305, October 2023 (Published) DOI BibTeX

Empirical Inference Article Can Whole-Body Baseline CT Radiomics Add Information to the Prediction of Best Response, Progression-Free Survival, and Overall Survival of Stage IV Melanoma Patients Receiving First-Line Targeted Therapy: A Retrospective Register Study Peisen, F., Gerken, A., Dahm, I., Nikolaou, K., Eigentler, T., Amaral, T., Moltz, J. H., Othman, A. E., Gatidis, S., Dondi, F. Diagnostics (Basel), 13(20), October 2023 (Published) DOI BibTeX

Empirical Inference Perceiving Systems Conference Paper One-shot Implicit Animatable Avatars with Model-based Priors Huang, Y., Yi, H., Liu, W., Wang, H., Wu, B., Wang, W., Lin, B., Zhang, D., Cai, D. In Proc. International Conference on Computer Vision (ICCV), 8940-8951, International Conference on Computer Vision, October 2023, *equal contribution (Published) arXiv code project DOI BibTeX

Perceiving Systems Empirical Inference Conference Paper Pairwise Similarity Learning is SimPLE Wen, Y., Liu, W., Feng, Y., Raj, B., Singh, R., Weller, A., Black, M. J., Schölkopf, B. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), International Conference on Computer Vision, October 2023 (Published) URL BibTeX

Empirical Inference Article CROCODILE - Incorporating medium-resolution spectroscopy of close-in directly imaged exoplanets into atmospheric retrievals via cross-correlation Hayoz, J., Cugno, G., Quanz, S. P., Patapis, P., Alei, E., Bonse, M. J., Dannert, F. A., Garvin, E. O., Gebhard, T. D., Konrad, B. S., et al. Astronomy & Astrophysics, 678, October 2023 (Published) DOI BibTeX

Empirical Inference Article A historical perspective of biomedical explainable AI research Malinverno, L., Barros, V., Ghisoni, F., Visonà, G., Kern, R., Nickel, P. J., Ventura, B. E., Šimić, I., Stryeck, S., Manni, F., et al. Patterns, 4(9), September 2023 (Published) DOI BibTeX

Empirical Inference Conference Paper Certified private data release for sparse Lipschitz functions Donhauser, K., Lokna, J., Sanyal, A., Boedihardjo, M., Hönig, R., Yang, F. TPDP 2023 - Theory and Practice of Differential Privacy, September 2023 (Published) arXiv URL BibTeX

Empirical Inference Master Thesis Efficient Sampling from Differentiable Matrix Elements Kofler, A. Technical University of Munich, Germany, September 2023 (Published) BibTeX

Empirical Inference Conference Paper How to make semi-private learning more effective Pinto, F., Hu, Y., Yang, F., Sanyal, A. TPDP 2023 - Theory and Practice of Differential Privacy, September 2023 (Published) arXiv URL BibTeX

Empirical Inference Article Neural Causal Structure Discovery from Interventions Ke*, N. R., Bilaniuk*, O., Goyal, A., Bauer, S., Larochelle, H., Schölkopf, B., Mozer, M. C., Pal, C., Bengio, Y. Transactions on Machine Learning Research, September 2023, *equal contribution (Published) URL BibTeX

Empirical Inference Article Simulation-based inference for efficient identification of generative models in computational connectomics Boelts, J., Harth, P., Gao, R., Udvary, D., Yáñez, F., Baum, D., Hege, H., Oberlaender, M., Macke, J. H. PLOS Computational Biology, 19(9):1-28, September 2023 (Published) DOI BibTeX

Empirical Inference Article Some Remarks on Identifiability of Independent Component Analysis in Restricted Function Classes Buchholz, S. Transactions on Machine Learning Research, September 2023 (Published) URL BibTeX

Learning and Dynamical Systems Empirical Inference Conference Paper Causal Effect Estimation from Observational and Interventional Data Through Matrix Weighted Linear Estimators Kladny, K., von Kügelgen, J., Schölkopf, B., Muehlebach, M. Conference on Uncertainty in Artificial Intelligence, 216:1087-1097, Proceedings of Machine Learning Research, (Editors: Evans, Robin J. and Shpitser, Ilya), PMLR, August 2023 (Published) URL BibTeX

Empirical Inference Article Chasing rainbows and ocean glints: Inner working angle constraints for the Habitable Worlds Observatory Vaughan, S. R., Gebhard, T. D., Bott, K., Casewell, S. L., Cowan, N. B., Doelman, D. S., Kenworthy, M., Mazoyer, J., Millar-Blanchaer, M. A., Trees, V. J. H., et al. Monthly Notices of the Royal Astronomical Society, 524(4):5477-5485, August 2023 (Published) DOI BibTeX

Empirical Inference Article Getting personal with epigenetics: towards individual-specific epigenomic imputation with machine learning Hawkins-Hooker, A., Visonà, G., Narendra, T., Rojas-Carulla, M., Schölkopf, B., Schweikert, G. Nature Communications, 14(1), August 2023 (Published) DOI BibTeX

Haptic Intelligence Autonomous Learning Empirical Inference Article Minsight: A Fingertip-Sized Vision-Based Tactile Sensor for Robotic Manipulation Andrussow, I., Sun, H., Kuchenbecker, K. J., Martius, G. Advanced Intelligent Systems, 5(8):2300042, August 2023, Inside back cover (Published) DOI BibTeX

Empirical Inference Conference Paper Socially Responsible Machine Learning: A Causal Perspective Moraffah, R., Karimi, A., Raglin, A., Liu, H. Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 5819-5820, Association for Computing Machinery, August 2023 (Published) DOI BibTeX

Empirical Inference Conference Paper USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution Rangnekar, V., Upadhyay, U., Akata, Z., Banerjee, B. Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI), 216:1707-1717, Proceedings of Machine Learning Research, (Editors: Evans, Robin J. and Shpitser, Ilya), PMLR, August 2023 (Published) URL BibTeX

Empirical Inference Conference Paper A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models Stolfo, A., Jin, Z., Shridhar, K., Schölkopf, B., Sachan, M. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), Volume 1: Long Papers:545-561, (Editors: Rogers, A. and Boyd-Graber, J. L. and Okazaki, N.), Association for Computational Linguistics, July 2023 (Published) DOI BibTeX

Empirical Inference Article A network approach to atomic spectra Wellnitz, D., Kekić, A., Heiss, J., Gertz, M., Weidemüller, M., Spitz, A. Journal of Physics: Complexity, 4(3), July 2023 (Published) DOI BibTeX

Empirical Inference Ph.D. Thesis Advances in Algorithmic Recourse: Ensuring Causal Consistency, Fairness, & Robustness Karimi, A. ETH Zurich, Switzerland, July 2023 (Published) BibTeX

Empirical Inference Conference Paper Adversarial robustness of amortized Bayesian inference Glöckler, M., Deistler, M., Macke, J. H. Proceedings of 40th International Conference on Machine Learning (ICML) , 202:11493-11524, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), PMLR, July 2023 (Published) URL BibTeX

Empirical Inference Article Catastrophic overfitting can be induced with discriminative non-robust features Ortiz-Jimenez*, G., de Jorge*, P., Sanyal, A., Bibi, A., Dokania, P. K., Frossard, P., Rogez, G., Torr, P. Transactions on Machine Learning Research , July 2023, *equal contribution (Published) PDF Code URL BibTeX

Empirical Inference Conference Paper Certifying Ensembles: A General Certification Theory with S-Lipschitzness Petrov, A., Eiras, F., Sanyal, A., Torr, P., Bibi, A. Proceedings of the 40th International Conference on Machine Learning (ICML), 202:27709-27736, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), PMLR, July 2023 (Published) arXiv URL BibTeX

Empirical Inference Article Comparing Apples with Apples: Robust Detection Limits for Exoplanet High-contrast Imaging in the Presence of Non-Gaussian Noise Bonse, M. J., Garvin, E. O., Gebhard, T. D., Dannert, F. A., Cantalloube, F., Cugno, G., Absil, O., Hayoz, J., Milli, J., Kasper, M., et al. The American Astronomical Society, 166(2), July 2023 (Published) DOI BibTeX

Empirical Inference Robust Machine Learning Conference Paper Desiderata for Representation Learning from Identifiability, Disentanglement, and Group-Structuredness Keurti, H., Reizinger, P., Schölkopf, B., Brendel, W. 2nd Annual Topology, Algebra, and Geometry in Machine Learning (TAG) at ICML 2023, July 2023 (Published) URL BibTeX

Empirical Inference Article Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward-based tasks Wang, Q., Sanchez, F. R., McCarthy, R., Bulens, D. C., McGuinness, K., O’Connor, N., Wüthrich, M., Widmaier, F., Bauer, S., Redmond, S. J. Expert Systems, 40(6), July 2023 (Published) DOI URL BibTeX

Empirical Inference Conference Paper Diffusion Based Representation Learning Mittal*, S., Abstreiter*, K., Bauer, S., Schölkopf, B., Mehrjou, A. Proceedings of the 40th International Conference on Machine Learning (ICML), 202:24963-24982, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), PMLR, July 2023, *equal contribution (Published) URL BibTeX

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