24 citations · 125 across the 25 of their papers we have counts for
3 papers · 1 filter
Divide-and-Conquer Checkpointing for Arbitrary Programs with No User Annotation
Jeffrey Mark Siskind, Barak A. Pearlmutter
Classical reverse-mode automatic differentiation (AD) imposes only a small constant-factor overhead in operation count over the original computation, but has storage requirements t…
Nonnegative Factorization of a Data Matrix as a Motivational Example for Basic Linear Algebra
Barak A. Pearlmutter, Helena Šmigoc
We present a motivating example for matrix multiplication based on factoring a data matrix. Traditionally, matrix multiplication is motivated by applications in physics: composing…
Mini-symposium on automatic differentiation and its applications in the financial industry
Sébastien Geeraert, Charles-Albert Lehalle, Barak Pearlmutter +2
Automatic differentiation is involved for long in applied mathematics as an alternative to finite difference to improve the accuracy of numerical computation of derivatives. Each t…