46 citations · 46 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Notes on Applicability of Explainable AI Methods to Machine Learning Models Using Features Extracted by Persistent Homology
Naofumi Hama
Data analysis that uses the output of topological data analysis as input for machine learning algorithms has been the subject of extensive research. This approach offers a means of…
hep-th2014★ 46 cited
Supersymmetric Rényi Entropy in Five Dimensions
Naofumi Hama, Tatsuma Nishioka, Tomonori Ugajin
We introduce supersymmetric Rényi entropies for supersymmetric gauge theories in five dimensions. The matrix model representation is obtained using the localization…