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Publications

Subedi, A. et al. (2026) “Steering Diffusion Models to Rare Events with Sequential Monte Carlo.”
Mammadov, A. et al. (2026) “WTF?! Simulation-Free Reinforcement Learning with Wasserstein-Tilted Flow Maps.”
Ong, E.-J. et al. (2026) “A Universal Nearest-Neighbor Estimator for Intrinsic Dimensionality”, IEEE Transactions on Pattern Analysis and Machine Intelligence, PP(99), pp. 1–11.
El-Sayed Moustafa, J. et al. (2026) “Longitudinal dynamics of gene expression and metabolomics in an aging population cohort”, Science, 393(6815), pp. eaed6452 - eaed6452-.
El-Sayed Moustafa, J. et al. (2026) “Longitudinal dynamics of gene expression and metabolomics in an aging population cohort”, Science, 393(6815), pp. eaed6452 - eaed6452-.
Kilian, V., Cortinovis, S. and Caron, F. (2026) “Anytime-valid, Bayes-assisted, prediction-powered inference”, in Neural Information Processing Systems. Conference. 39th 2025. Advances in Neural Information Processing Systems 38. Curran Associates, pp. 1035–1053.
Modlich, M. et al. (2026) “Interpreting graph neural networks with Myerson values for cheminformatics approaches”, Digital Discovery, 5(8), pp. 3378–3389.
Mammadov, A. et al. (2026) “Exact Posterior Score Estimation for Solving Linear Inverse Problems.”
Barbour, A. and Reinert, G. (2026) Networks: Probability and Statistics. Edited by G. Reinert. Cambridge University Press.
Barbour, A., Fischer, A. and Reinert, G. (2026) “Stein’s method in network analysis.”