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Tangent: Automatic Differentiation Using Source Code Transformation in
  Python

Tangent: Automatic Differentiation Using Source Code Transformation in Python

7 November 2017
B. V. Merrienboer
Alexander B. Wiltschko
D. Moldovan
ArXivPDFHTML

Papers citing "Tangent: Automatic Differentiation Using Source Code Transformation in Python"

4 / 4 papers shown
Title
Generalized Neural Closure Models with Interpretability
Generalized Neural Closure Models with Interpretability
Abhinava Gupta
Pierre FJ Lermusiaux
AI4CE
30
9
0
15 Jan 2023
Variational encoder geostatistical analysis (VEGAS) with an application
  to large scale riverine bathymetry
Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry
M. Forghani
Yizhou Qian
Jonghyun Lee
Matthew W. Farthing
T. Hesser
P. Kitanidis
Eric F. Darve
21
8
0
23 Nov 2021
AutoGraph: Imperative-style Coding with Graph-based Performance
AutoGraph: Imperative-style Coding with Graph-based Performance
D. Moldovan
James M. Decker
Fei Wang
A. A. Johnson
Brian K. Lee
Zachary Nado
D. Sculley
Tiark Rompf
Alexander B. Wiltschko
13
43
0
16 Oct 2018
Automatic differentiation in machine learning: a survey
Automatic differentiation in machine learning: a survey
A. G. Baydin
Barak A. Pearlmutter
Alexey Radul
J. Siskind
PINN
AI4CE
ODL
69
2,750
0
20 Feb 2015
1