Author

Haruka Ezoe

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#machine learning May 2026

Multiscale Euclidean Network Trajectories: Second-Moment Geometry, Attribution, and Change Points

This work introduces Multiscale Euclidean Network Trajectories (MENT), whose central estimands are pairwise second-moment operators of the dynamic latent positions of the dynamic latent positions, whose central estimands are pairwise second-moment operators of the dynamic latent positions.

Haruka Ezoe, Ryohei Hisano · arXiv.org · 1 citation

#natural language process... Preprint Sep 2026

Coupled Usage-Sense Processes: Temporal and Attributable Lexical Semantic Change

Lexical semantic change is usually summarized by a scalar distance between independently sampled period distributions. This measures how much a word changed, but does not reveal when it changed, which mechanisms and component movements carried the change, or which usages support the attribution. We introduce Coupled Us...

Haruka Ezoe, Ryohei Hisano · 0 citations