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

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Author(s)
van MerriŽnboer , Bart , Dan Moldovan , Alexander Wiltschko

Published in
Advances in Neural Information Processing Systems

Editor(s)
S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, R. Garnett

Year
2018

Publisher
Curran Associates, Inc.

AD Tools
Tangent

BibTeX
@INPROCEEDINGS{
         Merrienboer2018TAd,
       author = "van Merri{\"e}nboer, Bart and Moldovan, Dan and Wiltschko, Alexander",
       booktitle = "Advances in Neural Information Processing Systems",
       editor = "S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R.
         Garnett",
       pages = "6256--6265",
       publisher = "Curran Associates, Inc.",
       title = "Tangent: {A}utomatic differentiation using source-code transformation for dynamically
         typed array programming",
       url =
         "https://proceedings.neurips.cc/paper/2018/file/748d6b6ed8e13f857ceaa6cfbdca14b8-Paper.pdf",
       volume = "31",
       year = "2018",
       ad_tools = "Tangent"
}


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