Publications

Empirical Inference Article How developments in natural language processing help us in understanding human behaviour Mihalcea, R., Biester, L., Boyd, R. L., Jin, Z., Perez-Rosas, V., Wilson, S., Pennebaker, J. W. Nature Human Behaviour, 8(10):1877-1889, Nature Publishing Group UK London, October 2024 (Published) DOI URL BibTeX

Empirical Inference Miscellaneous Language Model Alignment in Multilingual Trolley Problems Jin, Z., Levine, S., Kleiman-Weiner, M., Piatti, G., Liu, J., Gonzalez, F., Ortu, F., Strausz, A., Sachan, M., Mihalcea, R., et al. 2024 (Published) URL BibTeX

Empirical Inference Article Low-power scalable multilayer optoelectronic neural networks enabled with incoherent light Song, A., Kottapalli, S. N. M., Goyal, R., Schoelkopf, B., Fischer, P. Nature Communications, 15:10692, 2024 (Published) DOI URL BibTeX

Empirical Inference Article Neonatal apnea and hypopnea prediction in infants with Robin sequence with neural additive models for time series Vetter, J., Lim, K., Dijkstra, T. M. H., Dargaville, P. A., Kohlbacher, O., Macke, J. H., Poets, C. F. PLOS Health Digital, 3(12):e0000678, 2024, Accepted (Accepted) DOI URL BibTeX

Empirical Inference Conference Paper The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning Cui, S., Jin, Z., Schölkopf, B., Faltings, B. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), :16722-16763, (Editors: Al-Onaizan, Yaser and Bansal, Mohit and Chen, Yun-Nung), Association for Computational Linguistics, November 2024 (Published) URL BibTeX

Empirical Inference Conference Paper Waffling around for Performance: Visual Classification with Random Words and Broad Concepts Roth, K., Kim, J. M., Koepke, A. S., Vinyals, O., Schmid, C., Akata, Z. In Proceedings 2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2023), :15700-15711, 2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2023), 2024 (Published) DOI URL BibTeX

Empirical Inference Conference Paper Causal normalizing flows: from theory to practice Javaloy, A. S. P. V. I. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), :1-32, Curran Associates Inc., NeurIPS, December 2023 (Published) DOI URL BibTeX

Empirical Inference Conference Paper Optimistic Active Exploration of Dynamical Systems Sukhija, B. T. L. S. C. B. S. C. S. K. A. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), :1-32, Curran Associates Inc. , NeurIPS, December 2023 (Published) DOI URL BibTeX

Empirical Inference Conference Paper Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features Eastwood, C. S. S. N. A. L. V. M. V. K. J. S. B. In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), :1-34, Curran Associates Inc., NeurIPS, December 2023 (Published) DOI URL BibTeX

Empirical Inference Article Machine-Learning-Aided Prediction of Brain Metastases Development in Non-Small-Cell Lung Cancers Visonà, G., Spiller, L. M., Hahn, S., Hattingen, E., Vogl, T. J., Schweikert, G., Bankov, K., Demes, M., Reis, H., Wild, P., et al. Clinical lung cancer, 24(8):e311-e322, December 2023 (Published) DOI BibTeX

Empirical Inference Conference Paper A Measure-Theoretic Axiomatisation of Causality Park, J., Buchholz, S., Schölkopf, B., Muandet, K. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:28510-28540, (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 Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good Gonzalez*, F., Jin*, Z., Schölkopf, B., Hope, T., Sachan, M., Mihalcea, R. Findings of the Association for Computational Linguistics: EMNLP 2023, :415-438, (Editors: Houda Bouamor and Juan Pino and Kalika Bali), Association for Computational Linguistics, December 2023, *equal contribution (Published) DOI BibTeX

Empirical Inference Conference Paper CLadder: Assessing Causal Reasoning in Language Models Jin*, Z., Chen*, Y., Leeb*, F., Gresele*, L., Kamal, O., Lyu, Z., Blin, K., Gonzalez, F., Kleiman-Weiner, M., Sachan, M., et al. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:31038-31065, (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, *main contributors (Published) URL BibTeX

Empirical Inference Conference Paper Can semi-supervised learning use all the data effectively? A lower bound perspective Tifrea*, A., Yüce*, G., Sanyal, A., Yang, F. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:21960-21982, (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 Causal Component Analysis Liang, W., Kekić, A., von Kügelgen, J., Buchholz, S., Besserve, M., Gresele*, L., Schölkopf*, B. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:32481-32520, (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, *shared last author (Published) URL BibTeX

Empirical Inference Conference Paper Causal Modeling with Stationary Diffusions Lorch, L., Krause*, A., Schölkopf*, B. Causal Representation Learning Workshop at NeurIPS 2023, December 2023, *equal supervision (Published) URL BibTeX

Empirical Inference Conference Paper Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data Guo*, S., Tóth*, V., Schölkopf, B., Huszár, F. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:36463-36475, (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 Perceiving Systems Conference Paper Controlling Text-to-Image Diffusion by Orthogonal Finetuning Qiu*, Z., Liu*, W., Feng, H., Xue, Y., Feng, Y., Liu, Z., Zhang, D., Weller, A., Schölkopf, B. In Advances in Neural Information Processing Systems 36, 36:79320-79362, (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) Home Code URL BibTeX

Empirical Inference Master Thesis Denoising Representation Learning for Causal Discovery Sakenyte, U. Université de Genèva, Switzerland, December 2023, external supervision (Published) BibTeX

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 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. 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

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