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Software . 2020
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Software . 2020
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https://doi.org/10.5281/zenodo...
Software . 2020
Data sources: Sygma
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N3PDF/evolutionary_keras: Implementation of CMA optimizer

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 26 May 2020Publisher:ZenodoFunded by:EC | NNNPDF
Authors: Stegeman, Roy; Juacrumar; Carrazza, Stefano;

doi: 10.5281/zenodo.3855448

N3PDF/evolutionary_keras: Implementation of CMA optimizer

Abstract

This release of evolutionary_keras implements the CMA optimizer from pycma to be used alongside with keras and tensorflow. The code has been updated for compatibility with Tensorflow 2.2 Just like keras this release moves from using the higher level module keras to use tensorflow.keras instead.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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