PhyloVAE is a deep variational autoencoder that learns low-dimensional latent representations of tree topologies and generates new trees non-autoregressively, faster than ARTree.
16 Published as a conference paper at ICLR 2025 ABF HGE DC0.714286 (a) The pre-selected tree topology for the first peak
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders
PhyloVAE is a deep variational autoencoder that learns low-dimensional latent representations of tree topologies and generates new trees non-autoregressively, faster than ARTree.