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Empirical Inference Perceiving Systems Conference Paper ChatHuman: Chatting about 3D Humans with Tools Lin, J., Feng, Y., Liu, W., Black, M. J. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Temporally Consistent Object-Centric Learning by Contrasting Slots Manasyan, A., Seitzer, M., Radovic, F., Martius, G., Zadaianchuk, A. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2025, Accepted (Accepted) BibTeX
Empirical Inference Autonomous Learning Conference Paper Advancing Out-of-Distribution Detection via Local Neuroplasticity Canevaro, A., Schmidt, J., Marvi, M. S., Yu, H., Martius, G., Jordan, J. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Perceiving Systems Conference Paper Can Large Language Models Understand Symbolic Graphics Programs? Qiu, Z., Liu, W., Feng, H., Liu, Z., Xiao, T. Z., Collins, K. M., Tenenbaum, J. B., Weller, A., Black, M. J., Schölkopf, B. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Compositional simulation-based inference for time series Gloeckler*, M., Toyota*, S., Fukumizu, K., Macke, J. H. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Learning and Dynamical Systems Conference Paper Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering Kladny, K., Schölkopf, B., Muehlebach, M. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) URL BibTeX
Empirical Inference Perceiving Systems Conference Paper Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets Liu, Z., Xiao, T. Z., Liu, W., Bengio, Y., Zhang, D. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Robust Machine Learning Conference Paper Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning Reizinger, P., Guo, S., Huszár, F., Schölkopf, B., Brendel, W. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Language Model Alignment in Multilingual Trolley Problems Jin, Z., Kleiman-Weiner, M., Piatti, G., Levine, S., Liu, J., Gonzalez, F., Ortu, F., Strausz, A., Sachan, M., Mihalcea, R., et al. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Autonomous Learning Conference Paper On the Transfer of Object-Centric Representation Learning Didolkar, A. R., Zadaianchuk, A., Goyal, A., Mozer, M. C., Bengio, Y., Martius, G., Seitzer, M. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Standardizing Structural Causal Models Ormaniec*, W., Sussex*, S., Lorch*, L., Schölkopf, B., Krause, A. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, *equal contribution, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Why AI Is WEIRD and Should Not Be This Way: Towards AI For Everyone, With Everyone, By Everyone Mihalcea*, R., Ignat*, O., Bai, L., Borah, A., Chiruzzo, L., Jin, Z., Kwizera, C., Nwatu, J., Poria, S., Solorio, T. The Thirty-Nineth AAAI Conference on Artificial Intelligence, AAAI 2025 (Senior Member Presentation Track), AAAI Press, February 2025, *equal contribution, Accepted (Accepted) URL BibTeX
Empirical Inference Article Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets Adaptive Noise Levels Gebhard, T. D., Wildberger, J., Dax, M., Kofler, A., Angerhausen, D., Quanz, S., Schölkopf, B. Astronomy \& Astrophysics, 693, January 2025 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation Sanyal, A., Hu, Y., Yu, Y., Ma, Y., Wang, Y., Schölkopf, B. The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), May 2025, Accepted (Accepted) BibTeX
Empirical Inference Robust Machine Learning Conference Paper Cross-Entropy Is All You Need to Invert the Data Generating Process Reizinger*, P., Bizeul*, A., Juhos*, A., Vogt, J. E., Balestriero, R., Brendel, W., Klindt, D. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, *equal contribution, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Differential private steering for Large language model alignment Goel, A., Hu, Y., Gurevych, I., Sanyal, A. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Improving Probabilistic Diffusion Models With Optimal Covariance Matching Ou, Z., Zhang, M., Zhang, A., Xiao, T. Z., Li, Y., Barber, D. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Influence Functions for Scalable Data Attribution in Diffusion Models Mlodozeniec, B., Eschenhagen, R., Bae, J., Immer, A., Krueger, D., Turner, R. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Robust Machine Learning Conference Paper Interaction Asymmetry: A General Principle for Learning Composable Abstractions Brady*, J., von Kügelgen, J., Lachapelle, S., Buchholz, S., Kipf, T., Brendel, W. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
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 Ph.D. Thesis Machine Learning Meets Exoplanet Science: Methodical contributions to direct imaging and atmospheric retrieval Gebhard, T. ETH Zurich, Switzerland, January 2025 (Published) 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, Accepted (Accepted) URL BibTeX
Empirical Inference Conference Paper Preference Elicitation for Offline Reinforcement Learning Pace, A., Schölkopf, B., Rätsch, G., Ramponi, G. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper The Directionality of Optimization Trajectories in Neural Networks Singh, S. P., He, B., Hofmann, T., Schölkopf, B. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Training Neural Samplers with Reverse Diffusive KL Divergence He*, J., Chen*, W., Zhang*, M., Barber, D., Hernández-Lobato, J. M. The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), May 2025, *equal contribution, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models Ye, M., Liu, W., Pan, H. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis Ormaniec, W., Dangel, F., Singh, S. P. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector Zhang, A., Xiao, T. Z., Liu, W., Bamler, R., Wischik, D. The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), May 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs Opedal*, A., Shirakami*, H., Schölkopf, B., Saparov, A., Sachan, M. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, *equal contribution, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Nonparametric Teaching for Multiple Learners Zhang, C. C. X. L. W. T. I. W. K. J. T. In December 2024 (Published) 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 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