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Empirical Inference Technical Report International AI Safety Report Bengio, Y., Mindermann, S., Privitera, D., Besiroglu, T., Bommasani, R., Casper, S., Choi, Y., Fox, P., Garfinkel, B., Goldfarb, D., et al. (DSIT 2025/001), 2025 (Published) URL BibTeX
Empirical Inference Book Chapter Natural Language Processing Jin, Z., Mihalcea, R., Schölkopf, B. In Elgar Encyclopedia of Political Communication, (Editors: Nai, A. and Grömping, M. and Wirz, D.), Edward Elgar Publishing, 2025 (Published) PDF URL BibTeX
Empirical Inference Conference Paper From Causal to Concept-Based Representation Learning Rajendran*, G., Buchholz*, S., Aragam, B., Schölkopf, B., Ravikumar, P. K. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:101250-101296, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Learning Partitions from Context Buchholz, S. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:140066-140112, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving Didolkar, A. R., Goyal, A., Ke, N. R., Guo, S., Valko, M., Lillicrap, T. P., Rezende, D. J., Bengio, Y., Mozer, M. C., Arora, S. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:19783-19812, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Conference Paper A Generative Model of Symmetry Transformations Allingham, J. U., Mlodozeniec, B. K., Padhy, S., Antorán, J., Krueger, D., Turner, R. E., Nalisnick, E., Hernández-Lobato, J. M. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:91091-91130, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Article A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions Rastogi, C., Song, X., Jin, Z., Stelmakh, I., Daumé III, H., Zhang, K., Shah, N. B. PLOS ONE, 19(12), Public Library of Science, December 2024 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Alien Recombination: Exploring Concept Blends Beyond Human Cognitive Availability in Visual Art Hernandez, A., Brinkmann, L., Serna, I., Rahaman, N., Alhaija, H. A., Yakura, H., Sola, M. C., Schölkopf, B., Rahwan, I. NeurIPS 2024 Workshop on Creativity and Generative AI, December 2024 (Published) arXiv BibTeX
Empirical Inference Conference Paper Causal vs. Anticausal merging of predictors Garrido Mejia, S., Blöbaum, P., Schölkopf, B., Janzing, D. Advances in Neural Information Processing Systems 37 (NeurIPS 2024) , 37:1402-1427, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Ph.D. Thesis Causality for Natural Language Processing Jin, Z. University of Tübingen, Germany, December 2024, (ELLIS PhD student program) (Published) URL BibTeX
Empirical Inference Conference Paper Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias Chen*, Y., Vethavikashini*, C. R., Mattern*, J., Mihalcea, R., Jin, Z. NeurIPS 2024 Workshop on Causality and Language Models (CaLM), December 2024, *equal contribution (Published) DOI URL BibTeX
Empirical Inference Conference Paper Cooperate or Collapse: Emergence of Sustainability in a Society of LLM Agents Piatti*, G., Jin*, Z., Kleiman-Weiner*, M., Schölkopf, B., Sachan, M., Mihalcea, R. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:111715-111759, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024, *equal contribution (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Do Finetti: On Causal Effects for Exchangeable Data Guo, S., Zhang, C., Muhan, K., Huszár*, F., Schölkopf*, B. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:127317-127345, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024, *equal supervision (Published) URL BibTeX
Empirical Inference Conference Paper Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes Lin, J. A., Padhy, S., Mlodozeniec, B. K., Antorán, J., Hernández-Lobato, J. M. Advances in Neural Information Processing Systems 37 (NeurIPS 2024) , 37:15460-15496, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Inferring stochastic low-rank recurrent neural networks from neural data Pals, M., Sağtekin, A. E., Pei, F., Gloeckler, M., Macke, J. Advances in Neural Information Processing Systems 37 (NeurIPS 2024) , 37:18225-18264, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Latent Diffusion for Neural Spiking Data Kapoor, J., Schulz, A., Vetter, J., Pei, F., Gao, R., Macke, J. H. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:118119-118154, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Limits of Transformer Language Models on Learning to Compose Algorithms Thomm, J., Camposampiero, G., Terzic, A., Hersche, M., Schölkopf, B., Rahimi, A. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:7631-7674, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks Chen, W., Ge, H. Advances in Neural Information Processing Systems 37 (NeurIPS 2024) , 37:97562-97586, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Conference Paper On Affine Homotopy between Language Encoders Chan, R., Bourmasmoud, R., Svete, A., Ren, Y., Guo, Q., Jin, Z., Ravfogel, S., Sachan, M., Schölkopf, B., El-Assady, M., et al. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:73337-73365, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Shaving Weights with Occam’s Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood Dhahri, R., Immer, A., Charpentier, B., Günnemann, S., Fortuin, V. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:24959-24989, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation Vetter, J., Moss, G., Schröder, C., Gao, R., Macke, J. H. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:88772-88806, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Theoretical Characterisation of the Gauss Newton Conditioning in Neural Networks Zhao*, J., Singh*, S. P., Lucchi, A. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:114965-115000, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper What Makes and Breaks Safety Fine-tuning? A Mechanistic Study Jain, S., Lubana, E. S., Oksuz, K., Joy, T., Torr, P., Sanyal, A., Dokania, P. K. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:93406-93478, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Haptic Intelligence Autonomous Learning Empirical Inference Miscellaneous Demonstration: Minsight - A Soft Vision-Based Tactile Sensor for Robotic Fingertips Andrussow, I., Sun, H., Martius, G., Kuchenbecker, K. J. Hands-on demonstration presented at the Conference on Robot Learning (CoRL), Munich, Germany, November 2024 (Published) BibTeX
Empirical Inference Conference Paper Diffusion-based learning of contact plans for agile locomotion Dh’Edin, V., Ravi, A. K. C., Jordana, A., Zhu, H., Meduri, A., Righetti, L., Schölkopf, B., Khadiv, M. IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids), 637-644, IEEE, November 2024 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis Lyu*, Z., Jin*, Z., Gonzalez, F., Mihalcea, R., Schölkopf, B., Sachan, M. Findings of the Association for Computational Linguistics: EMNLP, 9353-9372, (Editors: Yaser Al-Onaizan and Mohit Bansal and Yun-Nung Chen), Association for Computational Linguistics, November 2024, *equal contribution (Published) DOI URL BibTeX
Empirical Inference Conference Paper Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis Jenny*, D. F., Billeter*, Y., Schölkopf, B., Jin, Z. Proceedings of the Third Workshop on NLP for Positive Impact, 152-178, (Editors: Dementieva, Daryna and Ignat, Oana and Jin, Zhijing and Mihalcea, Rada and Piatti, Giorgio and Tetreault, Joel and Wilson, Steven and Zhao, Jieyu), Association for Computational Linguistics, November 2024, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Implicit Personalization in Language Models: A Systematic Study Jin, Z., Heil, N., Liu, J., Dhuliawala, S., Qi, Y., Schölkopf, B., Mihalcea, R., Sachan, M. Findings of the Association for Computational Linguistics: EMNLP, 12309-12325, (Editors: Yaser Al-Onaizan and Mohit Bansal and Yun-Nung Chen), Association for Computational Linguistics, November 2024 (Published) DOI URL BibTeX
Empirical Inference Ph.D. Thesis On Principled Modeling of Inductive Bias in Machine Learning Liu, W. University of Cambridge, UK, Cambridge, November 2024, (Cambridge-Tübingen-Fellowship-Program, ELLIS PhD student program) (Published) 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 RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands Zhao*, Y., Chen*, L., Schneider, J., Gao, Q., Kannala, J., Schölkopf, B., Pajarinen, J., Büchler, D. Proceedings of the 8th Annual Conference on Robot Learning (CoRL), 270:5184-5203, Proceedings of Machine Learning Research, (Editors: Agrawal, Pulkit and Kroemer, Oliver and Burgard, Wolfram), PMLR, Conference on Robot Learning, November 2024, *equal contribution (Published) URL BibTeX
Empirical Inference Article A Probabilistic Model behind Self-Supervised Learning Bizeul, A., Schölkopf, B., Allen, C. Transactions on Machine Learning Research, October 2024 (Published) PDF URL BibTeX
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 Conference Paper Redesigning Information Markets in the Era of Language Models Weiss, M., Rahaman, N., Wüthrich, M., Bengio, Y., Li, L. E., Schölkopf, B., Pal, C. First Conference on Language Modeling (COLM), arXiv:2403.14443, October 2024 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs Gao, G., Liu, W., Chen, A., Geiger, A., Schölkopf, B. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 21295-21304, IEEE, Piscataway, NJ, CVPR, September 2024 (Published) DOI URL BibTeX
Empirical Inference Ph.D. Thesis Advances in Probabilistic Methods for Deep Learning Immer, A. ETH Zurich, Switzerland, September 2024, CLS PhD Program (Published) BibTeX
Empirical Inference Master Thesis Alien Recombination: Exploring Concept Blends Beyond Human Cognitive Availability in Visual Art Hernandez, A. Technical University of Munich, Germany, September 2024 (Published) BibTeX
Haptic Intelligence Empirical Inference Optics and Sensing Laboratory Software Workshop Article Fiber-Optic Shape Sensing Using Neural Networks Operating on Multispecklegrams Cao, C. G. L., Javot, B., Bhattarai, S., Bierig, K., Oreshnikov, I., Volchkov, V. V. IEEE Sensors Journal, 24(17):27532-27540, September 2024 (Published) DOI BibTeX
Empirical Inference Autonomous Learning Conference Paper Learning to Control Emulated Muscles in Real Robots: A Software Test Bed for Bio-Inspired Actuators in Hardware Schumacher, P., Krause, L., Schneider, J., Büchler, D., Martius, G., Haeufle, D. In Proceedings 10th International Conference on Biomedical Robotics and Biomechatronics (BioRob), 806-813, IEEE, 10th International Conference on Biomedical Robotics and Biomechatronics (BioRob), September 2024 (Published) arXiv DOI URL BibTeX
Empirical Inference Conference Paper Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals Ortu*, F., Jin*, Z., Doimo, D., Sachan, M., Cazzaniga, A., Schölkopf, B. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL) , Volume 1, Long Papers:8420-8436, (Editors: Lun-Wei Ku and Andre Martins and Vivek Srikumar), Association for Computational Linguistics, August 2024, *equal contribution (Published) arXiv URL BibTeX
Empirical Inference Article Leveraging Task Structures for Improved Identifiability in Neural Network Representations Chen*, W., Horwood*, J., Heo, J., Hernández-Lobato, J. M. Transactions on Machine Learning Research, August 2024, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Modelling Variability in Human Annotator Simulation Wu*, W., Chen*, W., Zhang, C., Woodland, P. C. Findings of the Association for Computational Linguistics (ACL), 1139-1157, (Editors: Ku, Lun-Wei and Martins, Andre and Srikumar, Vivek), Association for Computational Linguistics, August 2024, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Moûsai: Efficient Text-to-Music Diffusion Models Schneider, F., Kamal, O., Jin, Z., Schölkopf, B. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Volume 1: Long Papers:8050-8068, (Editors: Lun-Wei Ku and Andre Martins and Vivek Srikumar), Association for Computational Linguistics, August 2024 (Published) URL BibTeX
Empirical Inference Conference Paper CausalCite: A Causal Formulation of Paper Citations Agrawal, I., Jin, Z., Mokhtarian, E., Guo, S., Chen, Y., Sachan, M., Schölkopf, B. Findings of the Association for Computational Linguistics (ACL), 8395-8410, (Editors: Ku, Lun-Wei and Martins, Andre and Srikumar, Vivek), Association for Computational Linguistics, August 2024 (Published) arXiv URL BibTeX
Empirical Inference Ph.D. Thesis A Measure-Theoretic Axiomatisation of Causality and Kernel Regression Park, J. University of Tübingen, Germany, July 2024 (Published) BibTeX
Empirical Inference Conference Paper A Sparsity Principle for Partially Observable Causal Representation Learning Xu, D., Yao, D., Lachapelle, S., Taslakian, P., von Kügelgen, J., Locatello, F., Magliacane, S. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:55389-55433, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Accuracy on the wrong line: On the pitfalls of noisy data for OOD generalisation Sanyal, A., Hu, Y., Yu, Y., Ma, Y., Wang, Y., Schölkopf, B. ICML 2024 Next Generation of AI Safety Workshop (Oral), July 2024 (Published) arXiv PDF BibTeX
Empirical Inference Conference Paper All-in-one simulation-based inference Gloeckler, M., Deistler, M., Weilbach, C. D., Wood, F., Macke, J. H. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:15735-15766, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (Published) URL BibTeX
Learning and Dynamical Systems Empirical Inference Article Deep Backtracking Counterfactuals for Causally Compliant Explanations Kladny, K., Kügelgen, J. V., Schölkopf, B., Muehlebach, M. Transactions on Machine Learning Research, July 2024 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Detecting and Identifying Selection Structure in Sequential Data Zheng, Y., Tang, Z., Qiu, Y., Schölkopf, B., Zhang, K. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:61498-61525, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (Published) URL BibTeX