24 citations · 125 across the 25 of their papers we have counts for
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cs.SC2015
Automatic differentiation in machine learning: a survey
Atilim Gunes Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul +1
Derivatives, mostly in the form of gradients and Hessians, are ubiquitous in machine learning. Automatic differentiation (AD), also called algorithmic differentiation or simply "au…
cs.SC2012★ 20 cited
Confusion of Tagged Perturbations in Forward Automatic Differentiation of Higher-Order Functions
Oleksandr Manzyuk, Barak A. Pearlmutter, Alexey Andreyevich Radul +2
Forward Automatic Differentiation (AD) is a technique for augmenting programs to compute derivatives. The essence of Forward AD is to attach perturbations to each number, and propa…