Publications by Probability

Clarkson, J. et al. (2024) “Split Conformal Prediction under Data Contamination”, in Proceedings of Machine Learning Research, pp. 5–27.

Ouyang, R. et al. (2024) “L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders”, in Complex Networks & Their Applications XII. Springer Nature, pp. 400–412.

He, Y. et al. (2024) “ROBUST ANGULAR SYNCHRONIZATION VIA DIRECTED GRAPH NEURAL NETWORKS”, in 12th International Conference on Learning Representations, ICLR 2024.

Wilsenach, J. et al. (2024) “Graph models of brain state in deep anaesthesia reveal sink state dynamics of reduced spatiotemporal complexity”, bioRxiv.

Etheridge, A. et al. (2023) “Looking forwards and backwards: dynamics and genealogies of locally regulated populations.”, ArXiv [Preprint].

Etheridge, A. (2023) “Natural selection in spatially structured populations”, in Proceedings of the International Congress of Mathematicians 2022, Vol. 6. EMS Press, pp. 4272–4300.

Foutel-Rodier, F. and Schertzer, E. (2023) “Convergence of genealogies through spinal decomposition with an application to population genetics”, Probability Theory and Related Fields, 187(3-4), pp. 697–751.

Mantziou, A. et al. (2023) “The GNAR-edge model: a network autoregressive model for networks with time-varying edge weights”, Journal of Complex Networks, 11(6).

Temčinas, T., Nanda, V. and Reinert, G. (2023) “Multivariate central limit theorems for random clique complexes”, Journal of Applied and Computational Topology, 8(6), pp. 1837–1880.

Reinert, G., Nanda, V. and Temcinas, T. (2023) “Multivariate central limit theorems for random clique complexes”, Journal of Applied and Computational Topology [Preprint].