8 citations · 21 across the 6 of their papers we have counts for
3 papers · 1 filter
TreeFlow: probabilistic modelling and automatic differentiation for phylogenetics
Christiaan Swanepoel, Mathieu Fourment, Xiang Ji +4
Probabilistic modelling frameworks are powerful tools for statistical modelling and inference. They are not immediately generalizable to phylogenetic problems due to the particular…
Automatic differentiation is no panacea for phylogenetic gradient computation
Mathieu Fourment, Christiaan J. Swanepoel, Jared G. Galloway +4
Gradients of probabilistic model likelihoods with respect to their parameters are essential for modern computational statistics and machine learning. These calculations are readily…
Fidelity of Hyperbolic Space for Bayesian Phylogenetic Inference
Matthew Macaulay, Aaron E. Darling, Mathieu Fourment
Bayesian inference for phylogenetics is a gold standard for computing distributions of phylogenies. It faces the challenging problem of. moving throughout the high-dimensional spac…