/Category_Theory_Machine_Learning

List of papers studying machine learning through the lens of category theory

Primary LanguagePython

Category Theory ∩ Machine Learning

Category theory has been finding increasing applications in machine learning. This repository aims to list all of the relevant papers, grouped by fields.

For an introduction to the ideas behind category theory, check out this link.

There might be papers missing, and some papers are in multiple fields. Feel free to contribute to this list - preferably by creating a pull request.

Survey papers


Deep Learning

Graph Neural Networks


Differentiable programming / automatic differentiation


Probability theory


Bayesian/Causal inference


Topological Data Analysis


Metric space magnitude


Blog posts


Automata Learning


Misc