Publications

Empirical Inference Article A Kernel Stein Test for Comparing Latent Variable Models Kanagawa, H., Jitkrittum, W., Mackey, L., Fukumizu, K., Gretton, A. Journal of the Royal Statistical Society Series B: Statistical Methodology, 85(3):986-1011, May 2023 (Published) arXiv DOI BibTeX

Empirical Inference Conference Paper A law of adversarial risk, interpolation, and label noise Paleka, D., Sanyal, A. The Eleventh International Conference on Learning Representations (ICLR), May 2023 (Published) URL BibTeX

Empirical Inference Article Better Together: Data Harmonization and Cross-StudAnalysis of Abdominal MRI Data From UK Biobank and the German National Cohort Gatidis, S., Kart, T., Fischer, M., Winzeck, S., Glocker, B., Bai, W., Bülow, R., Emmel, C., Friedrich, L., Kauczor, H., et al. Investigative Radiology, 58(5):346-354, May 2023 (Published) DOI BibTeX

Autonomous Learning Empirical Inference Conference Paper Bridging the Gap to Real-World Object-Centric Learning Seitzer, M., Horn, M., Zadaianchuk, A., Zietlow, D., Xiao, T., Simon-Gabriel, C., He, T., Zhang, Z., Schölkopf, B., Brox, T., et al. In Proceedings of the Eleventh International Conference on Learning Representations, The Eleventh International Conference on Learning Representations (ICLR), May 2023 (Published) Code Website URL BibTeX

Empirical Inference Conference Paper Disentanglement of Correlated Factors via Hausdorff Factorized Support Roth, K., Ibrahim, M., Akata, Z., Vincent, P., Bouchacourt, D. The Eleventh International Conference on Learning Representations (ICLR), May 2023 (Published) URL BibTeX

Empirical Inference Article Estimating uncertainty in read-out patterns: Application to controls-based denoising and voxel-based morphometry patterns in neurodegenerative and neuropsychiatric diseases Blum, D., Hepp, T., Belov, V., Goya-Maldonado, R., la Fougère, C., Reimold, M. Human Brain Mapping, 44(7):2802-2814, May 2023 (Published) DOI BibTeX

Empirical Inference Conference Paper Flow Annealed Importance Sampling Bootstrap Midgley*, L. I., Stimper*, V., Simm, G. N. C., Schölkopf, B., Hernádez-Lobato, J. M. The Eleventh International Conference on Learning Representations (ICLR), May 2023, *equal contribution (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap Liu, W., Yu, L., Weller, A., Schölkopf, B. The Eleventh International Conference on Learning Representations (ICLR), May 2023 (Published) URL BibTeX

Empirical Inference Conference Paper How robust is unsupervised representation learning to distribution shift? Shi, Y., Daunhawer, I., Vogt, J. E., Torr, P., Sanyal, A. The Eleventh International Conference on Learning Representations (ICLR), May 2023 (Published) URL BibTeX

Empirical Inference Conference Paper Identifiability Results for Multimodal Contrastive Learning Daunhawer, I., Bizeul, A., Palumbo, E., Marx, A., Vogt, J. E. The Eleventh International Conference on Learning Representations (ICLR), May 2023 (Published) URL BibTeX

Empirical Inference Conference Paper Investigating the Impact of Action Representations in Policy Gradient Algorithms Schneider, J., Schumacher, P., Häufle, D., Schölkopf, B., Büchler, D. Workshop on effective Representations, Abstractions, and Priors for Robot Learning (RAP4Robots) @ ICRA 2023, May 2023 (Published) arXiv Poster BibTeX

Empirical Inference Ph.D. Thesis Learning with and for discrete optimization Paulus, M. ETH Zurich, Switzerland, May 2023, CLS PhD Program (Published) BibTeX

Perceiving Systems Empirical Inference Conference Paper MeshDiffusion: Score-based Generative 3D Mesh Modeling Liu, Z., Feng, Y., Black, M. J., Nowrouzezahrai, D., Paull, L., Liu, W. The Eleventh International Conference on Learning Representations (ICLR), ICLR, May 2023 (Published) Home Code URL BibTeX

Empirical Inference Conference Paper Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction Chen, W., Tripp, A., Hernández-Lobato, J. M. The Eleventh International Conference on Learning Representations (ICLR), May 2023 (Published) URL BibTeX

Empirical Inference Movement Generation and Control Conference Paper On the Use of Torque Measurement in Centroidal State Estimation Khorshidi, S., Gazar, A., Rotella, N., Naveau, M., Righetti, L., Bennewitz, M., Khadiv, M. IEEE International Conference on Robotics and Automation (ICRA), :9931-9937, May 2023 (Published) DOI BibTeX

Empirical Inference Article Staying and Returning dynamics of young children’s attention Kim, J., Singh, S., Vales, C., Keebler, E., Fisher, A. V., Thiessen, E. D. Developmental Science, 26(6), May 2023 (Published) DOI BibTeX

Empirical Inference Conference Paper Structure by Architecture: Structured Representations without Regularization Leeb, F., Lanzillotta, G., Annadani, Y., Besserve, M., Bauer, S., Schölkopf, B. The Eleventh International Conference on Learning Representations (ICLR), May 2023 (Published) URL BibTeX

Empirical Inference Conference Paper DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability Eastwood*, C., Nicolicioiu*, A. L., von Kügelgen*, J., Kekić, A., Träuble, F., Dittadi, A., Schölkopf, B. The Eleventh International Conference on Learning Representations (ICLR), May 2023, *equal contribution (Published) URL BibTeX

Empirical Inference Article Uncovering the Organization of Neural Circuits with Generalized Phase Locking Analysis Safavi, S., Panagiotaropoulos, T. I., Kapoor, V., Ramirez-Villegas, J. F., Logothetis, N., Besserve, M. PLOS Computational Biology, 19(4):45, Public Library of Science, April 2023 (Published) bioRxiv DOI BibTeX

Empirical Inference Article Adapting to noise distribution shifts in flow-based gravitational-wave inference Wildberger, J., Dax, M., Green, S. R., Gair, J., Pürrer, M., Macke, J. H., Buonanno, A., Schölkopf, B. Physical Review D, 107(8), April 2023 (Published) DOI BibTeX

Empirical Inference Conference Paper BaCaDI: Bayesian Causal Discovery with Unknown Interventions Hägele, A., Rothfuss, J., Lorch, L., Somnath, V. R., Schölkopf, B., Krause, A. Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) , 206:1411-1436, Proceedings of Machine Learning Research, (Editors: Ruiz, Francisco and Dy, Jennifer and van de Meent, Jan-Willem), PMLR, April 2023 (Published) URL BibTeX

Empirical Inference Conference Paper Backtracking Counterfactuals von Kügelgen, J., Mohamed, A., Beckers, S. Proceedings of the Second Conference on Causal Learning and Reasoning (CLeaR), 213:177-196, Proceedings of Machine Learning Research, (Editors: van der Schaar, Mihaela and Zhang, Cheng and Janzing, Dominik), PMLR, April 2023 (Published) URL BibTeX

Empirical Inference Conference Paper Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning Liu, Y., Alahi, A., Russell, C., Horn, M., Zietlow, D., Schölkopf, B., Locatello, F. Proceedings of the Second Conference on Causal Learning and Reasoning (CLeaR), 213:553-573, Proceedings of Machine Learning Research, (Editors: van der Schaar, Mihaela and Zhang, Cheng and Janzing, Dominik), PMLR, April 2023 (Published) URL BibTeX

Empirical Inference Conference Paper Dataflow graphs as complete causal graphs Paleyes, A., Guo, S., Schölkopf, B., Lawrence, N. D. 2nd International Conference on AI Engineering - Software Engineering for AI (CAIN), :7-12, IEEE, April 2023 (Published) arXiv DOI BibTeX

Empirical Inference Article Instrumental variable regression via kernel maximum moment loss Zhang, R., Imaizumi, M., Schölkopf, B., Muandet, K. Journal of Causal Inference, 11(1), April 2023 (Published) DOI BibTeX

Empirical Inference Conference Paper Iterative Teaching by Data Hallucination Qiu, Z., Liu, W., Xiao, T., Liu, Z., Bhatt, U., Luo, Y., Weller, A., Schölkopf, B. Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) , 206:9892-9913, Proceedings of Machine Learning Research, (Editors: Ruiz, Francisco and Dy, Jennifer and van de Meent, Jan-Willem), PMLR, April 2023 (Published) URL BibTeX

Empirical Inference Robust Machine Learning Article Jacobian-based Causal Discovery with Nonlinear ICA Reizinger, P., Sharma, Y., Bethge, M., Schölkopf, B., Huszár, F., Brendel, W. Transactions on Machine Learning Research, April 2023 (Published) URL BibTeX

Empirical Inference Article Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference Dax, M., Green, S. R., Gair, J., Pürrer, M., Wildberger, J., Macke, J. H., Buonanno, A., Schölkopf, B. Physical Review Letters, 130(17), April 2023 (Published) DOI BibTeX

Empirical Inference Conference Paper Nonparametric Indirect Active Learning Singh, S. Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) , 206:2515-2541, Proceedings of Machine Learning Research, (Editors: Ruiz, Francisco and Dy, Jennifer and van de Meent, Jan-Willem), PMLR, April 2023 (Published) URL BibTeX

Empirical Inference Conference Paper On the Interventional Kullback-Leibler Divergence Wildberger, J. B., Guo, S., Bhattacharyya, A., Schölkopf, B. Proceedings of the Second Conference on Causal Learning and Reasoning (CLeaR), 213:328-349, Proceedings of Machine Learning Research, (Editors: van der Schaar, Mihaela and Zhang, Cheng and Janzing, Dominik), PMLR, April 2023 (Published) URL BibTeX

Empirical Inference Article The ENCODE Imputation Challenge: a critical assessment of methods for cross-cell type imputation of epigenomic profiles Schreiber*, J., Boix*, C., Lee, J. W., Li, H., Guan, Y., Chang, C., Chang, J., Hawkins-Hooker, A., Schölkopf, B., Schweikert, G., et al. Genome Biology, 24, April 2023, *co‑first authors (Published) DOI BibTeX

Empirical Inference Conference Paper Unsupervised Object Learning via Common Fate Tangemann, M., Schneider, S., von Kügelgen, J., Locatello, F., Gehler, P., Brox, T., Kümmerer, M., Bethge, M., Schölkopf, B. Proceedings of the Second Conference on Causal Learning and Reasoning (CLeaR), 213:281-327, Proceedings of Machine Learning Research, (Editors: van der Schaar, Mihaela and Zhang, Cheng and Janzing, Dominik), PMLR, April 2023 (Published) arXiv URL BibTeX

Empirical Inference Master Thesis Intrinsic complexity and mechanisms of expressivity of cortical neurons Spieler, A. M. University of Tübingen, Germany, March 2023 (Published) BibTeX

Empirical Inference Optics and Sensing Laboratory Micro, Nano, and Molecular Systems Article Multiplane Diffractive Acoustic Networks Athanassiadis, A. G., Schlieder, L., Melde, K., Volchkov, V., Schölkopf, B., Fischer, P. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 70(5):441-448, IEEE, March 2023 (Published) DOI BibTeX

Empirical Inference Article Proactive Contact Tracing Gupta, P., Maharaj, T., Weiss, M., Rahaman, N., Alsdurf, H., Minoyan, N., Harnois-Leblanc, S., Merckx, J., Williams, A., Schmidt, V., et al. PLOS Digital Health, 2(3):1-19, March 2023 (Published) DOI BibTeX

Empirical Inference Article Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations Fischer, M., Hepp, T., Gatidis, S., Yang, B. Computerized Medical Imaging and Graphics, 104, Elsevier, Amsterdam, March 2023 (Published) DOI BibTeX

Empirical Inference Article Compact holographic sound fields enable rapid one-step assembly of matter in 3D Melde, K., Kremer, H., Shi, M., Seneca, S., Frey, C., Platzman, I., Degel, C., Schmitt, D., Schölkopf, B., Fischer, P. Science Advances, 9(6), AAAS, Washington, DC, February 2023 (Published) DOI URL BibTeX

Empirical Inference Article Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets Choe, J., Oh, S. J., Chun, S., Lee, S., Akata, Z., Shim, H. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2):1732-1748, IEEE, New York, NY, February 2023 (Published) DOI URL BibTeX

Learning and Dynamical Systems Empirical Inference Master Thesis Causal Effect Estimation by Combining Observational and Interventional Data Kladny, K. ETH Zurich, Switzerland, February 2023 (Published) BibTeX

Empirical Inference Article GRASP: Scalable Graph Alignment by Spectral Corresponding Functions Hermanns, J., Skitsas, K., Tsitsulin, A., Munkhoeva, M., Kyster, A., Nielsen, S., Bronstein, A. M., Mottin, D., Karras, P. ACM Transactions on Knowledge Discovery from Data, 17(4), February 2023 (Published) DOI BibTeX

Empirical Inference Article SphereFace Revived: Unifying Hyperspherical Face Recognition Liu, W., Wen, Y., Raj, B., Singh, R., Weller, A. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2):2458-2474, February 2023 (Published) DOI BibTeX

Empirical Inference Conference Paper Towards Empirical Process Theory for Vector-Valued Functions: Metric Entropy of Smooth Function Classes Park, J., Muandet, K. Proceedings of the 34th International Conference on Algorithmic Learning Theory (ALT), 201:1216-1260, Proceedings of Machine Learning Research, (Editors: Agrawal, Shipra and Orabona, Francesco), PMLR, February 2023 (Published) URL BibTeX

Empirical Inference Master Thesis Towards Generative Machine Teaching Qui, Z. Technical University of Munich, Germany, February 2023 (Published) BibTeX

Empirical Inference Article ViViT: Curvature Access Through The Generalized Gauss-Newton’s Low-Rank Structure Dangel*, F., Tatzel*, L., Hennig, P. Transactions on Machine Learning Research, February 2023, *equal contribution (Published) URL BibTeX

Empirical Inference Article A machine learning route between band mapping and band structure Xian*, R. P., Stimper*, V., Zacharias, M., Dendzik, M., Dong, S., Beaulieu, S., Schölkopf, B., Wolf, M., Rettig, L., Carbogno, C., et al. Nature Computational Science, 3(1):101-114, January 2023, *equal contribution (Published) arXiv DOI BibTeX

Empirical Inference Master Thesis ArchiSound: Audio Generation with Diffusion Schneider, F. ETH Zurich, Switzerland, January 2023, external supervision (Published) BibTeX

Empirical Inference Article Audio Retrieval With Natural Language Queries: A Benchmark Study Koepke, A. S., Oncescu, A., Henriques, J. F., Akata, Z., Albanie, S. IEEE Transactions on Multimedia, 25:2675-2685, January 2023 (Published) DOI BibTeX

Empirical Inference Master Thesis Generation and Quantification of Spin in Robot Table Tennis Dittrich, A. University of Stuttgart, Germany, January 2023 (Published) BibTeX

Empirical Inference Article Learning Dynamical Systems using Local Stability Priors Mehrjou, A., Iannelli, A., Schölkopf, B. Journal of Computational Dynamics, 10(1):175-198, January 2023, Special issue "Computation of Lyapunov functions and contraction metrics" (Published) DOI BibTeX

Empirical Inference Article Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots Büchler, D., Calandra, R., Peters, J. Robotics and Autonomous Systems, 159, Elsevier, Amsterdam, January 2023 (Published) Arxiv Video DOI URL BibTeX

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