Unrolled vs. Implicit Autodiff

(7:15)

Unrolled Autodiff of iterative Algorithms

(28:54)

What is Automatic Differentiation?

(14:25)

Tutorial on Automatic Differentiation

(6:1econd)

Simple reverse-mode Autodiff in Julia - Computational Chain

(12:51)

PyHEP 2020 Tutorial on Automatic Differentiation

(49:24)

Efficient and Modular Implicit Differentiation (Machine Learning Research Paper Explained)

(32:47)

Lecture 4 - Automatic Differentiation

(1:3:35)

Automatic differentiation | New derivations of nonlinear solve and ODE adjoints

(1:19:25)

Automatic Differentiation Explained with Example

(17:38)

Matthijs Vákár: Mathematical foundations of automatic differentiation

(1:1:48)

Algorithmic Differentiation 2

(36:41)

Autodiff and Adjoints for Differentiable Physics

(1:24:12)

Niko Brümmer Automatic differentiation

(1:11:25)

From automatic differentiation to message passing

(56:43)

Forward-Mode Automatic Differentiation (AD) via High Dimensional Algebras

(1:51:5)

Neural Networks in pure JAX (with automatic differentiation)

(27:59)