Neural-Probabilistic Answer Set Programming.

Arseny Skryagin; Wolfgang Stammer; Daniel Ochs; Devendra Singh Dhami; Kristian Kersting

Neural-Probabilistic Answer Set Programming.

Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting

Uncertainty in Artificial Intelligence

Research output: Contribution to conference › Paper › Academic

Original language	Undefined
Publication status	Published - 2022

Bibliographical note

DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

Access to Document

https://dblp.org/rec/conf/kr/SkryaginSODK22

Cite this

@conference{6d75e0b460fd4921b00e6ab96083d21c,

title = "Neural-Probabilistic Answer Set Programming.",

author = "Arseny Skryagin and Wolfgang Stammer and Daniel Ochs and Dhami, {Devendra Singh} and Kristian Kersting",

note = "DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

year = "2022",

language = "Niet gedefinieerd",

}

TY - CONF

T1 - Neural-Probabilistic Answer Set Programming.

AU - Skryagin, Arseny

AU - Stammer, Wolfgang

AU - Ochs, Daniel

AU - Dhami, Devendra Singh

AU - Kersting, Kristian

N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2022

Y1 - 2022

M3 - Paper

ER -