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Mathieu Blanchette

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#machine learning Open access Oct 2023

PhyloGFN: Phylogenetic inference with generative flow networks

The framework of generative flow networks (GFlowNets) is adopted to tackle two core problems in phylogenetics: parsimony-based and Bayesian phylogenetic inference and it is demonstrated that the amortized posterior sampler, PhyloGFN, produces diverse and high-quality evolutionary hypotheses on real benchmark datasets.

Mingyang Zhou, Zichao Yan, Elliot Layne et al. · 37 citations · ⚡3

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