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Empirical Inference Conference Paper On the Relationship Between Explanation and Prediction: A Causal View Karimi, A., Muandet, K., Kornblith, S., Schölkopf, B., Kim, B. Proceedings of the 40th International Conference on Machine Learning (ICML), 202:15861-15883, 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 Robust Machine Learning Conference Paper Provably Learning Object-Centric Representations Brady*, J., Zimmermann*, R. S., Sharma, Y., Schölkopf, B., von Kügelen, J., Brendel, W. Proceedings of the 40th International Conference on Machine Learning (ICML), 202:3038-3062, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), JMLR, Cambridge, MA, July 2023, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels Immer, A., van der Ouderaa, T. F. A., van der Wilk, M., Rätsch, G., Schölkopf, B. Proceedings of the 40th International Conference on Machine Learning (ICML), 202:14333-14352, 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 Conference Paper Temporal Label Smoothing for Early Event Prediction Yèche*, H., Pace*, A., Rätsch, G., Kuznetsova, R. Proceedings of the 40th International Conference on Machine Learning (ICML), 202:39913-39938, 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) arXiv URL BibTeX
Empirical Inference Conference Paper The Hessian perspective into the Nature of Convolutional Neural Networks Singh, S. P., Hofmann, T., Schölkopf, B. Proceedings of the 40th International Conference on Machine Learning (ICML), 202:31930-31968, 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 Conference Paper When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP Ni, J., Jin, Z., Wang, Q., Sachan, M., Leippold, M. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), Volume 1: Long Papers:7465-7488, (Editors: Rogers, A. and Boyd-Graber, J. L. and Okazaki, N.), Association for Computational Linguistics, July 2023 (Published) DOI BibTeX
Empirical Inference Conference Paper World Models for Math Story Problems Opedal, A., Stoehr, N., Saparov, A., Sachan, M. Findings of the Association for Computational Linguistics (ACL), 9088-9115, (Editors: Anna Rogers, Jordan L. Boyd-Graber and Naoaki Okazaki), Association for Computational Linguistics, July 2023 (Published) URL BibTeX
Empirical Inference Conference Paper ALERT: Adapt Language Models to Reasoning Tasks Yu, P., Wang, T., Golovneva, O., AlKhamissi, B., Verma, S., Jin, Z., Ghosh, G., Diab, M., Celikyilmaz, A. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), 1:1055-1081, (Editors: Rogers, Anna and Boyd-Graber, Jordan and Okazaki, Naoaki), Association for Computational Linguistics, July 2023 (Published) DOI URL BibTeX
Embodied Vision Learning and Dynamical Systems Empirical Inference Conference Paper Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts Achterhold, J., Tobuschat, P., Ma, H., Büchler, D., Muehlebach, M., Stueckler, J. In Conference on Learning for Dynamics and Control, 211:878-890, Proceedings of Machine Learning Research, (Editors: Nikolai Matni, Manfred Morari and George J. Pappa), PMLR, June 2023 (Published) preprint code URL BibTeX
Empirical Inference Conference Paper Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification Kim, Y., Kim, J. M., Jeong, J., Schmid, C., Akata, Z., Lee, J. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 3408-3417, IEEE, June 2023 (Published) DOI URL BibTeX
Empirical Inference Article Classifying the unknown: Insect identification with deep hierarchical Bayesian learning Badirli, S., Picard, C. J., Mohler, G., Richert, F., Akata, Z., Dundar, M. Methods in Ecology and Evolution, 14(6):1515-1530, June 2023 (Published) DOI BibTeX
Empirical Inference Conference Paper Editing a Woman’s Voice Costello, A., Fedorova, E., Jin, Z., Mihalcea, R. International Conference on the Science of Science and Innovation (ICSSI), June 2023 (Published) URL BibTeX
Empirical Inference Article Evaluating vaccine allocation strategies using simulation-assisted causal modeling Kekić, A., Dehning, J., Gresele, L., von Kügelgen, J., Priesemann, V., Schölkopf, B. Patterns, 4(6), June 2023 (Published) DOI URL BibTeX
Empirical Inference Ph.D. Thesis Learning Identifiable Representations: Independent Influences and Multiple Views Gresele, L. University of Tübingen, Germany, June 2023 (Published) BibTeX
Empirical Inference Conference Paper Learning Locomotion Skills from MPC in Sensor Space Khadiv, M., Meduri, A., Zhu, H., Righetti, L., Schölkopf, B. Proceedings of The 5th Annual Learning for Dynamics and Control Conference (L4DC), 211:1218-1230, (Editors: Matni, Nikolai and Morari, Manfred and Pappas, George J.), PMLR, June 2023 (Published) URL BibTeX
Empirical Inference Article Quantification of intratumoural heterogeneity in mice and patients via machine-learning models trained on PET–MRI data Katiyar, P., Schwenck, J., Frauenfeld, L., Divine, M. R., Agrawal, V., Kohlhofer, U., Gatidis, S., Kontermann, R., Königsrainer, A., Quintanilla-Martinez, L., et al. Nature Biomedical Engineering, 7(8):1014-1027, June 2023 (Published) DOI BibTeX
Empirical Inference Conference Paper Robustness Implies Fairness in Causal Algorithmic Recourse Ehyaei, A., Karimi, A., Schölkopf, B., Maghsudi, S. Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT), 984-1001, ACM, June 2023 (Published) DOI BibTeX
Empirical Inference Conference Paper Workshop: Machine Learning for Science: Mathematics at the Interface of Data-driven and Mechanistic Modelling Lawrence, N., Montgomery, J., Schölkopf, B. Oberwolfach Reports, 20(2):1453-1484, June 2023 (Published) DOI URL BibTeX
Empirical Inference Conference Paper AIMY: An Open-source Table Tennis Ball Launcher for Versatile and High-fidelity Trajectory Generation Dittrich, A., Schneider, J., Guist, S., Gürtler, N., Ott, H., Steinbrenner, T., Schölkopf, B., Büchler, D. IEEE International Conference on Robotics and Automation (ICRA), 3058-3064, IEEE, June 2023 (Published) arXiv DOI BibTeX
Autonomous Learning Empirical Inference Conference Paper Benchmarking Offline Reinforcement Learning on Real-Robot Hardware Gürtler, N., Blaes, S., Kolev, P., Widmaier, F., Wüthrich, M., Bauer, S., Schölkopf, B., Martius, G. In Proceedings of the Eleventh International Conference on Learning Representations, The Eleventh International Conference on Learning Representations (ICLR), May 2023 (Published) Website arXiv Code URL BibTeX
Autonomous Learning Empirical Inference Conference Paper DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems Schumacher, P., Haeufle, D. F., Büchler, D., Schmitt, S., Martius, G. In The Eleventh International Conference on Learning Representations (ICLR), May 2023 (Published) Arxiv pdf Website URL BibTeX
Empirical Inference Article ResMiCo: Increasing the quality of metagenome-assembled genomes with deep learning Mineeva*, O., Danciu*, D., Schölkopf, B., Ley, R. E., Rätsch, G., Youngblut, N. D. PLOS Computational Biology, 19(5), Public Library of Science, San Francisco, CA, May 2023, *equal contribution (Published) DOI BibTeX
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