Categorical representation learning and RG flow operators for algorithmic classifiers

Categorical representation learning and RG flow operators for algorithmic classifiers

Following the earlier formalism of the categorical representation learning, we discuss the construction of the ‘RG-flow-based categorifier’. Borrowing ideas from the theory of renormalization group (RG) flows in quantum field theory, holographic duality, and hyperbolic geometry and combining them wi...

Fuld beskrivelse

Bibliografiske detaljer
Main Authors: Artan Sheshmani, Yi-Zhuang You, Wenbo Fu, Ahmadreza Azizi
Format: Article
Sprog:English
Udgivet: IOP Publishing 2023-01-01
Serier:Machine Learning: Science and Technology
Fag:
renormalization group flow
neural ODE
hyperbolic geometry
holographic duality
category theory
categorical representation learning
Online adgang:https://doi.org/10.1088/2632-2153/acb488

Internet

https://doi.org/10.1088/2632-2153/acb488

Lignende værker