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[SC'21] Reverse Mode Automatic Differentiation and Optimization of GPU Kernels via Enzyme
DConf Online '22 - Differentiable Programming in D
[08x06] Calculus using Julia Automatic Differentiation | ForwardDiff.jl, ReverseDiff.jl and Pluto
Automatic Differentiation and SciML: What Can Go Wrong | Chris Rackauckas | JuliaHEP 2023
Fast Forward and Reverse-Mode Differentiation via Enzyme.jl | Many speakers | JuliaCon 2022
Basic Parameter Estimation, Reverse-Mode AD, and Inverse Problems
Simple reverse-mode Autodiff in Python
A Tour of the differentiable programming landscape with Flux.jl | Dhairya Gandhi | JuliaCon 2021
Differentiable Programming for Modeling and Control of Dynamical Systems
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Last Updated: August 22, 2026
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![[SC'21] Reverse Mode Automatic Differentiation and Optimization of GPU Kernels via Enzyme](https://i.ytimg.com/vi/6OeDhADBPCs/mqdefault.jpg)
![[08x06] Calculus using Julia Automatic Differentiation | ForwardDiff.jl, ReverseDiff.jl and Pluto](https://i.ytimg.com/vi/VjdkTIiYKU8/mqdefault.jpg)
