Hyperiax supplies JAX-based tree algorithms that make BFFG feasible for parameter inference and ancestral state reconstruction from landmark shapes on phylogenies with hundreds of tips.
URL https://www.biorxiv.org/content/ early/2025/04/08/2025.04.03.646616
2 Pith papers cite this work. Polarity classification is still indexing.
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NBFFG combines a closed-form backward filter from a linear-Gaussian proxy process with a learned neural residual to enable efficient variational inference and unbiased pathwise subsampling for nonlinear diffusions on trees.
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Hyperiax and Phylogenetic Inference from Shape Data
Hyperiax supplies JAX-based tree algorithms that make BFFG feasible for parameter inference and ancestral state reconstruction from landmark shapes on phylogenies with hundreds of tips.
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Neural Backward Filtering Forward Guiding
NBFFG combines a closed-form backward filter from a linear-Gaussian proxy process with a learned neural residual to enable efficient variational inference and unbiased pathwise subsampling for nonlinear diffusions on trees.