TOOL LyZNet: A Lightweight Python Tool for Learning and Verifying Neural Lyapunov Functions and Regions of Attraction.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/hybrid/LiuMFZ24
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Property
Value
dcterms:
bibliographicCitation
<
http://dblp.uni-trier.de/rec/bibtex/conf/hybrid/LiuMFZ24
>
dc:
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https://dblp.l3s.de/d2r/resource/authors/Jun_Liu
>
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https://dblp.l3s.de/d2r/resource/authors/Maxwell_Fitzsimmons
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Ruikun_Zhou
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Yiming_Meng
>
foaf:
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<
http://dx.doi.org/doi.org%2F10.1145%2F3641513.3650134
>
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dcterms:
issued
2024
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rdfs:
label
TOOL LyZNet: A Lightweight Python Tool for Learning and Verifying Neural Lyapunov Functions and Regions of Attraction.
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foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Jun_Liu
>
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https://dblp.l3s.de/d2r/resource/authors/Maxwell_Fitzsimmons
>
foaf:
maker
<
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>
foaf:
maker
<
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swrc:
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dcterms:
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owl:
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rdfs:
seeAlso
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>
swrc:
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https://dblp.l3s.de/d2r/resource/conferences/hybrid
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dc:
title
TOOL LyZNet: A Lightweight Python Tool for Learning and Verifying Neural Lyapunov Functions and Regions of Attraction.
(xsd:string)
dc:
type
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http://purl.org/dc/dcmitype/Text
>
rdf:
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swrc:InProceedings
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type
foaf:Document