Preprint
Aug 2026
Subzero matrix completion for sparse data analysis: large-scale learning of latent low-rank structure
A stochastic, alternating least-squares algorithm that operates on smaller blocks of this dense matrix and scales as a result to much larger problems and is used to analyze the sparse matrix of synaptic weights for the recently published $\textit{Drosphilia}$ connectome.
Lawrence K. Saul, N. Huang, Dennis Bollweg et al.
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