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Publications by Probability

Lo, T., Reinert, G. and Zhang, R. (2025) “Isolated vertices in two duplication-divergence models with edge deletion.”
Adams, J. et al. (2025) “Individualised Counterfactual Examples Using Conformal Prediction Intervals”, in Proceedings of Machine Learning Research, pp. 425–444.
Hung, E., Mantziou, A. and Reinert, G. (2024) “A Bayesian mixture model for Poisson network autoregression.”
Mantziou, A. et al. (2024) “GDP nowcasting with large-scale inter-industry payment data in real time -- A network approach”, arXiv.
Addario-Berry, L. and Goldschmidt, C. (2024) “Scaling limits of random graphs.”
Limnios, S. et al. (2024) “SaGess: A Sampling Graph Denoising Diffusion Model for Scalable Graph Generation”, in ECAI 2024. IOS Press.
Ayyer, A., Mandelshtam, O. and Martin, J. (2024) “Modified Macdonald polynomials and the multispecies zero range process: II”, Mathematische Zeitschrift, 308(2), p. 31.
Aminian, G. et al. (2024) “Generalization and Robustness of the Tilted Empirical Risk.”
Zhang, R. and Reinert, G. (2024) “Simulating weak attacks in a new duplication–divergence model with node loss”, Entropy, 26(10).
Berestycki, J. et al. (2024) “The Yaglom limit for branching Brownian motion with absorption and slightly subcritical drift.”