125 citations · 238 across the 12 of their papers we have counts for
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cs.LG2018★ 45 cited
Automatic differentiation in ML: Where we are and where we should be going
Bart van Merriënboer, Olivier Breuleux, Arnaud Bergeron +1
We review the current state of automatic differentiation (AD) for array programming in machine learning (ML), including the different approaches such as operator overloading (OO) a…
cs.LG2018★ 19 cited
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming
Bart van Merriënboer, Dan Moldovan, Alexander B Wiltschko
The need to efficiently calculate first- and higher-order derivatives of increasingly complex models expressed in Python has stressed or exceeded the capabilities of available tool…