Advanced: Automatic Differentiation for Implicit Operators · ADCME
Gabriel Peyré on Twitter: "Reverse mode automatic-differentiation is based on a « backward » (adjoint) chain rule. https://t.co/SXoF9PxtDX https://t.co/xJJ2VEdIEY" / Twitter
PDF] Automatic differentiation in machine learning: a survey | Semantic Scholar
Reverse-mode automatic differentiation from scratch, in Python | sidsite
AMS :: Feature Column :: How to Differentiate with a Computer
A Functional Tour of Automatic Differentiation
Generalization of differential ray tracing by automatic differentiation of computational graphs
Forward Mode Automatic Differentiation & Dual Numbers | by Robert Lange | Towards Data Science
Automatic Differentiation Part 1: Understanding the Math - PyImageSearch
Automatic Differentiation Using Gradient Tapes - Gowri Shankar