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Found 4 papers, 2 papers with code
Simultaneous linear connectivity of neural networks modulo permutation
In contrast, the claim "strong linear connectivity"-that for each network, there exists one permutation that simultaneously connects it with the other networks-is both intuitively and practically more desirable.
Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization
A variety of machine learning tasks---e. g., matrix factorization, topic modelling, and feature allocation---can be viewed as learning the parameters of a probability distribution over bipartite graphs.
Bootstrap estimators for the tail-index and for the count statistics of graphex processes
Graphex processes resolve some pathologies in traditional random graph models, notably, providing models that are both projective and allow sparsity.
Statistics Theory Statistics Theory Primary 62F10, secondary 60G55, 60G70
Modeling trajectories of mental health: challenges and opportunities
More than two thirds of mental health problems have their onset during childhood or adolescence.
