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Jazbec, M., Wong-Toi, E., Xia, G., Zhang, D., Nalisnick, E., & Mandt, S. (2025). Generative Uncertainty in Diffusion Models. Proceedings of Machine Learning Research, 286, 1837-1858. https://proceedings.mlr.press/v286/jazbec25a.html -
Jazbec, M., Forré, P., Mandt, S., Zhang, D., & Nalisnick, E. (2024). Early-Exit Neural Networks with Nested Prediction Sets. Proceedings of Machine Learning Research, 244, 1780-1796. https://proceedings.mlr.press/v244/jazbec24a.html
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Jazbec, M., Allingham, J. U., Zhang, D., & Nalisnick, E. (2023). Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity. In A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), 37th Conference on Neural Information Processing Systems (NeurIPS 2023): 10-16 December 2023, New Orleans, Louisana, USA (Advances in Neural Information Processing Systems; Vol. 36). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2023/hash/af2d9fb5bcee19ef2dfa70d843520c97-Abstract-Conference.html
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