LCMC performs categorical matrix completion via latent tensor factorization in a double-loop setup with adaptive dimension estimation and split-merge-refine enhancements, outperforming prior methods on synthetic and quasispecies data.
Robust model selection for discovery of latent mechanistic processes.arXiv preprint arXiv:2602.22062, 2026
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Latent Structural Categorical Matrix Completion with Application to Quasispecies Analysis
LCMC performs categorical matrix completion via latent tensor factorization in a double-loop setup with adaptive dimension estimation and split-merge-refine enhancements, outperforming prior methods on synthetic and quasispecies data.