Taming the complexity of large models

Matthew Oberhardt; Eytan Ruppin

doi:10.1038/embor.2013.145

Taming the complexity of large models

Matthew Oberhardt, Eytan Ruppin

School of Computer Science and AI

Tel Aviv University

Research output: Contribution to journal › Comment/debate

1 Scopus citations

Original language	English
Pages (from-to)	848
Number of pages	1
Journal	EMBO Reports
Volume	14
Issue number	10
DOIs	https://doi.org/10.1038/embor.2013.145
State	Published - Oct 2013

Funding

Funders	Funder number
European Commission
Seventh Framework Programme	222886

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10.1038/embor.2013.145

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Taming the complexity of large models

Funding

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