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New Liftable Classes for First-Order Probabilistic Inference

New Liftable Classes for First-Order Probabilistic Inference

Seyed Mehran Kazemi
Angelika Kimmig
Guy Van den Broeck
David Poole
    LRM
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Papers citing "New Liftable Classes for First-Order Probabilistic Inference"

6 / 6 papers shown
Title
Lifted Inference beyond First-Order Logic
Lifted Inference beyond First-Order Logic
Sagar Malhotra
D. Bizzaro
Luciano Serafini
100
3
0
22 Aug 2023
Lifted Algorithms for Symmetric Weighted First-Order Model Sampling
Lifted Algorithms for Symmetric Weighted First-Order Model Sampling
Yuanhong Wang
Juhua Pu
Yuyi Wang
Ondrej Kuzelka
TPM
41
5
0
17 Aug 2023
Weighted First-Order Model Counting in the Two-Variable Fragment With Counting Quantifiers
Weighted First-Order Model Counting in the Two-Variable Fragment With Counting Quantifiers
Ondrej Kuzelka
57
21
0
10 Jul 2020
Domain-Liftability of Relational Marginal Polytopes
Domain-Liftability of Relational Marginal Polytopes
Ondrej Kuzelka
Yuyi Wang
37
4
0
15 Jan 2020
Representation Learning for Dynamic Graphs: A Survey
Representation Learning for Dynamic Graphs: A Survey
Seyed Mehran Kazemi
Rishab Goel
Kshitij Jain
I. Kobyzev
Akshay Sethi
Peter Forsyth
Pascal Poupart
AI4TSAI4CEGNN
105
464
0
27 May 2019
The Complexity of Bayesian Networks Specified by Propositional and Relational Languages
The Complexity of Bayesian Networks Specified by Propositional and Relational Languages
Fabio Gagliardi Cozman
Denis Deratani Mauá
TPM
71
10
0
04 Dec 2016