Phylogenetic estimation of diversity-dependent biogeographic rates using deep learning
This paper introduces DDGeoSSE, a deep learning-based generative model that enables the estimation of diversity-dependent biogeographic rates and reveals how local species richness shapes diversification dynamics in Caribbean Anolis lizards and Viburnum plants.