Showing stat.MLShow all
2 papers · 1 filter
stat.ML2026
Multiscale Euclidean Network Trajectories: Second-Moment Geometry, Attribution, and Change Points
Haruka Ezoe, Ryohei Hisano
A central challenge in dynamic network analysis is to represent temporal evolution in a way that is both geometrically meaningful and statistically identifiable. One approach embed…
stat.ML2018
Learning Topic Models by Neighborhood Aggregation
Ryohei Hisano
Topic models are frequently used in machine learning owing to their high interpretability and modular structure. However, extending a topic model to include a supervisory signal, t…