Automatic differentiation

Known as: AD (disambiguation), Algorithmic differentiation, Auto derivative 
In mathematics and computer algebra, automatic differentiation (AD), also called algorithmic differentiation or computational differentiation, is a… (More)
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Highly Cited
2017
Highly Cited
2017
In this article, we describe an automatic differentiation module of PyTorch — a library designed to enable rapid research on… (More)
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Highly Cited
2017
Highly Cited
2017
Probabilistic modeling is iterative. A scientist posits a simple model, fits it to her data, refines it according to her analysis… (More)
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Review
2016
Review
2016
This tutorial will introduce the Computational Network Toolkit, or CNTK, Microsoft's cutting-edge open-source deep-learning… (More)
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Review
2015
Review
2015
Derivatives, mostly in the form of gradients and Hessians, are ubiquitous in machine learning. Automatic differentiation (AD) is… (More)
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Highly Cited
2013
Highly Cited
2013
Tapenade is an Automatic Differentiation (AD) tool which, given a Fortran or C code that computes a function, creates a new code… (More)
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Highly Cited
2001
Highly Cited
2001
Intention of movement of left or right index finger, or right foot is recognized in electroencephalograms (EEGs) from three… (More)
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Highly Cited
1996
Highly Cited
1996
The C++ package ADOL-C described here facilitates the evaluation of first and higher derivatives of vector functions that are… (More)
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Highly Cited
1993
Highly Cited
1993
Those ofyou whoknow Ken Meyerand Dick Hall may have already purchased this book. For those of you who don’t know these authors, I… (More)
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Highly Cited
1991
Highly Cited
1991
In its basic form the reverse mode of automatic diierentiation yields gradient vectors at a small multiple of the computational… (More)
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Highly Cited
1988
Highly Cited
1988
During these last years, the environmental problems have acquired a growing place in our society. It becomes necessary to find a… (More)
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