Publications by Probability

Berestycki, J. et al. (2024) “The extremal point process of branching brownian motion in Rd”, Annals of Probability, 52(3), pp. 955–982.

Reinert, G. and Xu, W. (2024) “SteinGen: Generating Fidelitous and Diverse Graph Samples.”

Ouyang, R. et al. (2024) “L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders”, arXiv.

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

Phillips, D. et al. (2024) “Improved estimates of COVID-19 correlates of protection, antibody decay and vaccine efficacy waning: a joint modelling approach”, medRxiv.

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 and integration”, bioRxiv.

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).