Partial Differential Equations is All You Need for Generating Neural Architectures — A Theory for Physical Artificial Intelligence Systems

31 de March de 2021

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<meta name="Description" CONTENT="Artificial Intelligence Journal" />
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RxRegistration IDNº
R0Hash MD5 (of R3): 8477de576deaf0ef41a00ad9e17c7171
R1Registration number (in the domain editorialia.com at WordPress):dmeditorialiawp.30380
R2Date-p-order (ddmmyyyypx): 11042021p1
R3Cid (combined id R1+R2):dmeditorialiawp.3038011042021p1
R4Resource official title:Partial Differential Equations is All You Need for Generating Neural Architectures – A Theory for Physical Artificial Intelligence Systems
R5Publisher:arXiv.org
R6Resource website (1) ( #OpenAccess | #Openscience ): arxiv.org/abs/2103.08313
R12Authors (separated by commas):Ping Guo, Kaizhu Huang, Zenglin Xu
R14Keyword (selected 1 among the labels applied to this entry):=neuralnetworks
R15QR code (of the linked url at WP):
R16Time stamp URL:
R17Digital signature URL:Pending signature

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