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# Reference
0. [Provably Correct, Asymptotically Efficient, Higher-Order Reverse-Mode Automatic Differentiation](https://www.cl.cam.ac.uk/~nk480/higher-order-ad.pdf)
0. [Differentiable Programming in C++ - Vassil Vassilev & William Moses - CppCon 2021](https://www.youtube.com/watch?v=1QQj1mAV-eY)
0. [Demystifying Differentiable Programming: Shift/Reset the Penultimate Backpropagator](https://arxiv.org/abs/1803.10228)
0. [The Taichi Programming Language](http://taichi.graphics/)
0. [The principles behind Differentiable Programming - Erik Meijer](https://www.youtube.com/watch?v=lk0PhtSHE38)
0. [Kotlin∇: Type-safe Symbolic Differentiation for Kotlin](https://github.com/breandan/kotlingrad)
0. [Differentiable Programming Manifesto](https://github.com/apple/swift/blob/master/docs/DifferentiableProgramming.md)
0. [Backpropagation in the Simply Typed Lambda-calculus with Linear Negation](https://arxiv.org/abs/1909.13768)
0. [One-and-a-Half Simple Differential Programming Languages](https://pages.cpsc.ucalgary.ca/~robin/FMCS/FMCS2019/slides/GordonPlotkin-FMCS2019.pdf)
0. [Differentiable Programming Mega-Proposal](https://forums.swift.org/t/differentiable-programming-mega-proposal/28547)
0. https://fluxml.ai/2019/02/07/what-is-differentiable-programming.html
0. https://github.com/breandan/kotlingrad
0. https://colinraffel.com/blog/you-don-t-know-jax.html
0. https://github.com/tensorflow/mlir
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