Automated deep abstractions for stochastic chemical reaction networks
type: Item
instance of: scholarly article
title: Automated deep abstractions for stochastic chemical reaction networks
author: Denis Repin
author: Tatjana Petrov
published in: Information and Computation
publication date: 2021-11-25T00:00:00Z
full work available at URL: https://arxiv.org/abs/2002.01889
Mathematics Subject Classification ID: 68Qxx
zbMATH DE Number: 7433310
zbMATH Keywords: model abstraction
zbMATH Keywords: stochastic simulation
zbMATH Keywords: chemical reaction networks
zbMATH Keywords: deep learning
zbMATH Keywords: neural architecture search
describes a project that uses: ProxylessNAS
describes a project that uses: BinaryConnect
describes a project that uses: DARTS
MaRDI profile type: Publication
OpenAlex ID: W3190842559
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DOI: 10.1016/J.IC.2021.104788
description: scientific article; zbMATH DE number 7433310