Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming

25 September 2018

Papers citing "Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming"

6 / 6 papers shown

Title
On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters Wonyeol Lee Sejun Park A. Aiken PINN 21 6 0 31 Jan 2023
On Correctness of Automatic Differentiation for Non-Differentiable Functions Wonyeol Lee Hangyeol Yu Xavier Rival Hongseok Yang 33 40 0 12 Jun 2020
Learning to Control PDEs with Differentiable Physics Philipp Holl V. Koltun Nils Thuerey AI4CE PINN 46 185 0 21 Jan 2020
A Simple Differentiable Programming Language M. Abadi G. Plotkin 19 65 0 11 Nov 2019
Least Squares Auto-Tuning Shane T. Barratt Stephen P. Boyd MoMe 24 23 0 10 Apr 2019
On the Equivalence of Automatic and Symbolic Differentiation Soeren Laue 17 4 0 05 Apr 2019