Lune

POPL2022Top-tier venue

Provably correct, asymptotically efficient, higher-order reverse-mode automatic differentiation

Faustyna Krawiec, Simon Peyton Jones, Neel Krishnaswami, Tom Ellis, Richard A. Eisenberg, Andrew W. Fitzgibbon

2022Year
27Citations
10Top-tier citations

Abstract

In this paper, we give a simple and efficient implementation of reverse-mode automatic differentiation, which both extends easily to higher-order functions, and has run time and memory consumption linear in the run time of the original program. In addition to a formal description of the translation, we also describe an implementation of this algorithm, and prove its correctness by means of a logical relations argument.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext 31681dc2-f9b8-4dd6-a66f-5235f29f4de8

Cited by top-tier papers10

Ask how each one uses it

Builds on4

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines