NiuTrans/ODEs-in-Vision-and-Language
An introduction to ODEs and their applications in vision and language
This article explains how Ordinary Differential Equations (ODEs) can be used to understand and build advanced AI models in vision and language. It provides a unified perspective on how information is processed and transformed within models, showing how concepts like residual networks, neural ODEs, and diffusion models are connected through ODE formalisms. This guide is for AI researchers, machine learning engineers, and students interested in the mathematical foundations of deep learning.
Use this if you want to understand the underlying mathematical principles, specifically Ordinary Differential Equations, that power many modern deep learning architectures for generating images and text.
Not ideal if you are looking for a practical guide to implement AI models without delving into the mathematical theory behind them.
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Feb 26, 2026
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