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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
Perceiving Systems Conference Paper Joker: Conditional 3D Head Synthesis with Extreme Facial Expressions Prinzler, M., Zakharov, E., Sklyarova, V., Kabadayi, B., Thies, J. In International Conference on 3D Vision (3DV), International Conference on 3D Vision, 2025, Accepted (Accepted) project page arxiv 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