A multimodal alignment framework derives morphology-aware image embeddings as continuous traits for Bayesian phylogenetic reconstruction, improving topological agreement on the Rove-Tree-11 dataset.
ModelFinder: Fast model selection for accurate phylogenetic estimates
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HyperEvoGen uses hyperbolic variational inference to learn phylogenetic representations from protein alignments that preserve hierarchy and scale with evolutionary divergence, outperforming baselines in ancestral reconstruction on simulated data.
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Morphology-Aware Multimodal Representation Learning for Insect Phylogenetic Reconstruction
A multimodal alignment framework derives morphology-aware image embeddings as continuous traits for Bayesian phylogenetic reconstruction, improving topological agreement on the Rove-Tree-11 dataset.
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HyperEvoGen: Exploring deep phylogeny using non-Euclidean variational inference
HyperEvoGen uses hyperbolic variational inference to learn phylogenetic representations from protein alignments that preserve hierarchy and scale with evolutionary divergence, outperforming baselines in ancestral reconstruction on simulated data.