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12/01/2022
Graph Convolutional Neural Networks as Parametric CoKleisli morphisms
We define the bicategory of Graph Convolutional Neural Networks 𝐆𝐂𝐍𝐍_n f...
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09/19/2022
Space-time tradeoffs of lenses and optics via higher category theory
Optics and lenses are abstract categorical gadgets that model systems wi...
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06/13/2021
Category Theory in Machine Learning
Over the past two decades machine learning has permeated almost every re...
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03/02/2021
Categorical Foundations of Gradient-Based Learning
We propose a categorical foundation of gradient-based machine learning a...
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01/26/2021
Compositional Game Theory, Compositionally
We present a new compositional approach to compositional game theory (CG...
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09/15/2020
Learning Functors using Gradient Descent
Neural networks are a general framework for differentiable optimization ...
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07/16/2019
