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Publications by Probability

Pardo-Diaz, J. et al. (2022) “Generating weighted and thresholded gene coexpression networks using signed distance correlation.”, Network Science, 10(2), pp. 131–145.
Forman, N. et al. (2022) “A two-parameter family of measure-valued diffusions with Poisson–Dirichlet stationary distributions”, Annals of Applied Probability, 32(3), pp. 2211–2253.
Pardo-Diaz, J. et al. (2022) “Extracting information from gene coexpression networks of Rhizobium leguminosarum”, Journal of Computational Biology, 29(7), pp. 752–768.
He, Y. et al. (2022) “SSSNET: semi-supervised signed network clustering”, in Proceedings of the SIAM International Conference on Data Mining (SDM22). Society for Industrial and Applied Mathematics, pp. 244–252.
Etheridge, A., Gooding, M. and Letter, I. (2022) “On the effects of a wide opening in the domain of the (stochastic) Allen-Cahn equation and the motion of hybrid zones”, arXiv.
Clarkson, J. et al. (2022) “DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series.”
Wilsenach, J. et al. (2022) “Ranking of Communities in Multiplex Spatiotemporal Models of Brain Dynamics.”
Wilsenach, J. et al. (2022) “Ranking of communities in multiplex spatiotemporal models of brain dynamics ”, Applied Network Science, 7.
He, Y. et al. (2022) “PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs”, arXiv.
Berestycki, J. et al. (2022) “The distance between the two BBM leaders”, Nonlinearity, 35(4), pp. 1558–1609.