bgavran/Category_Theory_Machine_Learning
A curated list of academic papers applying category theory to machine learning concepts.

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This repository compiles academic papers that apply categorical mathematics to machine learning problems. It groups papers by subfields such as deep learning architectures, gradient-based learning, and neural network theory. The collection serves as a survey resource for researchers interested in the mathematical foundations of ML through category-theoretic lenses.