Will Kurt • 4/23/2023

Linear Diffusion: Building a Diffusion Model from linear Components

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This article introduces Linear Diffusion, an experimental diffusion model constructed using only linear models as its components. It explains the motivation behind simplifying complex architectures, details the constrained problem space (MNIST digits and digit strings), and provides a high-level overview of how it maps to real diffusion model concepts. The post includes results and links to the code, serving as an educational bridge between simple linear models and advanced generative AI.

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#Machine Learning #generative ai #Neural Networks
Linear Diffusion: Building a Diffusion Model from linear Components

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