DC Element
Wert
Sprache
dc.contributor.author
Lin, Xuankang
-
dc.contributor.author
Zhu, He
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dc.contributor.author
Samanta, Roopsha
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dc.contributor.author
Jagannathan, Suresh
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dc.contributor.editor
Ivrii, Alexander
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dc.contributor.editor
Strichman, Ofer
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dc.date.accessioned
2020-09-11T15:19:56Z
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dc.date.available
2020-09-11T15:19:56Z
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dc.date.issued
2020
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dc.identifier.citation
<div class="csl-bib-body"> <div class="csl-entry">Lin, X., Zhu, H., Samanta, R., &#38; Jagannathan, S. (2020). ART: Abstraction Refinement-Guided Training for Provably Correct Neural Networks. In A. Ivrii &#38; O. Strichman (Eds.), <i>Proceedings of the 20th Conference on Formal Methods in Computer-Aided Design – FMCAD 2020</i> (pp. 148–157). TU Wien Academic Press. https://doi.org/10.34727/2020/isbn.978-3-85448-042-6_22</div> </div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/15518
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dc.identifier.uri
https://doi.org/10.34727/2020/isbn.978-3-85448-042-6_22
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dc.language.iso
en
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dc.publisher
TU Wien Academic Press
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
computer-aided system design
en
dc.title
ART: Abstraction Refinement-Guided Training for Provably Correct Neural Networks
en
dc.type
Konferenzbeitrag
de
dc.type
Inproceedings
en
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.identifier.doi
10.34727/2020/isbn.978-3-85448-042-6_22
-
dc.contributor.affiliation
Purdue University System, United States of America (the)
-
dc.contributor.affiliation
Rutgers, The State University of New Jersey, United States of America (the)
-
dc.contributor.affiliation
Purdue University System, United States of America (the)
-
dc.contributor.affiliation
Purdue University System, United States of America (the)
-
dc.contributor.editoraffiliation
IBM Research - Haifa, Israel
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dc.contributor.editoraffiliation
Technion – Israel Institute of Technology, Israel
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dc.relation.isbn
978-3-85448-042-6
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dc.description.startpage
148
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dc.description.endpage
157
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dc.type.category
Full-Paper Contribution
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dc.relation.eissn
2708-7824
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dc.publisher.place
Wien
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tuw.booktitle
Proceedings of the 20th Conference on Formal Methods in Computer-Aided Design – FMCAD 2020
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tuw.container.volume
1
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tuw.relation.ispartof
10.34727/2020/isbn.978-3-85448-042-6
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tuw.version
vor
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tuw.book.chapter
22
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tuw.publication.orgunit
E192-04 - Forschungsbereich Formal Methods in Systems Engineering
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dc.identifier.libraryid
AC17204857
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dc.description.numberOfPages
10
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tuw.relation.ispartoftuwseries
Conference Series: Formal Methods in Computer-Aided Design
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dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
item.languageiso639-1
en
-
item.openairetype
conference paper
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item.grantfulltext
open
-
item.fulltext
with Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.openaccessfulltext
Open Access
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crisitem.author.dept
Purdue University System
-
crisitem.author.dept
Rutgers, The State University of New Jersey
-
crisitem.author.dept
Purdue University System
-
crisitem.author.dept
Purdue University System
-
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