Automatic Differentiation Using Gradient Tapes - Gowri Shankar
From automatic differentiation to message passing - YouTube
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
Reverse-mode automatic differentiation from scratch, in Python | sidsite
PyTorch Basics: Understanding Autograd and Computation Graphs
Automatic Differentiation in Quantum Chemistry with Applications to Fully Variational Hartree–Fock | ACS Central Science
Advances in Automatic Differentiation | SpringerLink
On the Equivalence of Forward Mode Automatic Differentiation and Symbolic Differentiation | Semantic Scholar
Inverse Hamiltonian design by automatic differentiation | Communications Physics
Automatic Differentiation Part 1: Understanding the Math - PyImageSearch
Automatic Differentiation with torch.autograd — PyTorch Tutorials 2.0.0+cu117 documentation
Deep Learning Library From Scratch 4: Automatic differentiation - DEV Community
PDF] Automatic differentiation in geophysical inverse problems | Semantic Scholar
Using automatic differentiation as a general framework for ptychographic reconstruction (Journal Article) | DOE PAGES
Automatic Differentiation: Applications, Theory, and Implementations (Lecture Notes in Computational Science and Engineering, 50): Bücker, H. Martin, Corliss, George, Hovland, Paul, Naumann, Uwe, Norris, Boyana: 9783540284031: Amazon.com: Books