Two IGO flows on spheres are designed with natural gradients from Poincaré and Bergman hyperbolic geometries, realized via Kuramoto oscillator ensembles, with a noted link to quantum decision making.
Learning symmetries and non-Euclidean data representations via collective dynamics of generalized Kuramoto oscillators,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NE 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Information-Geometric Optimization on Spheres
Two IGO flows on spheres are designed with natural gradients from Poincaré and Bergman hyperbolic geometries, realized via Kuramoto oscillator ensembles, with a noted link to quantum decision making.