bgavran/Category_Theory_Machine_Learning

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

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This is a curated collection of academic papers exploring the intersection of category theory and machine learning. It provides an organized list of research papers, grouped by specific fields within AI, helping you find relevant literature. Researchers and academics in theoretical machine learning, mathematics, and computer science would use this resource.

1,496 stars. Actively maintained with 1 commit in the last 30 days.

Use this if you are a researcher or academic looking for a comprehensive list of papers that apply category theory to machine learning problems, categorized by subfield.

Not ideal if you are looking for practical code implementations, tutorials for applying category theory to machine learning projects, or a general introduction to machine learning concepts.

theoretical machine learning category theory mathematical foundations of AI deep learning research graph neural network theory
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Feb 16, 2026

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