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ORCIDArseny Skryagin
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2020 – today
- 2023
[j1]Arseny Skryagin, Daniel Ochs, Devendra Singh Dhami
, Kristian Kersting:
Scalable Neural-Probabilistic Answer Set Programming. J. Artif. Intell. Res. 78: 579-617 (2023)- [i3]Arseny Skryagin, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting:
Scalable Neural-Probabilistic Answer Set Programming. CoRR abs/2306.08397 (2023) - 2022
- [c4]Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting:
Neural-Probabilistic Answer Set Programming. KR 2022 - 2021
- [c3]Xiaoting Shao, Arseny Skryagin, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting:
Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions. AAAI 2021: 9533-9540 - [c2]Zhongjie Yu, Mingye Zhu, Martin Trapp, Arseny Skryagin, Kristian Kersting:
Leveraging probabilistic circuits for nonparametric multi-output regression. UAI 2021: 2008-2018 - [i2]Zhongjie Yu, Mingye Zhu, Martin Trapp, Arseny Skryagin, Kristian Kersting:
Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression. CoRR abs/2106.08687 (2021) - [i1]Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting:
SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming. CoRR abs/2110.03395 (2021) - 2020
- [c1]Xiaoting Shao, Zhongjie Yu, Arseny Skryagin, Tjitze Rienstra, Matthias Thimm, Kristian Kersting:
Modelling Multivariate Ranking Functions with Min-Sum Networks. SUM 2020: 281-288
Coauthor Index
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