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1210.4840
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Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic Inference
16 October 2012
Guy Van den Broeck
Arthur Choi
Adnan Darwiche
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Papers citing
"Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic Inference"
11 / 11 papers shown
Title
Towards Practical First-Order Model Counting
Ananth K. Kidambi
Guramrit Singh
Paulius Dilkas
Kuldeep S. Meel
LRM
35
0
0
17 Feb 2025
Synthesising Recursive Functions for First-Order Model Counting: Challenges, Progress, and Conjectures
Paulius Dilkas
Vaishak Belle
LRM
59
5
0
07 Jun 2023
State-Space Abstractions for Probabilistic Inference: A Systematic Review
Stefan Lüdtke
Max Schröder
Frank Krüger
Sebastian Bader
T. Kirste
27
10
0
18 Apr 2018
New Liftable Classes for First-Order Probabilistic Inference
Seyed Mehran Kazemi
Angelika Kimmig
Guy Van den Broeck
David Poole
LRM
63
37
0
26 Oct 2016
Lifted Message Passing for the Generalized Belief Propagation
Udi Apsel
33
0
0
05 Oct 2016
Lifted Region-Based Belief Propagation
David B. Smith
Parag Singla
Vibhav Gogate
38
1
0
30 Jun 2016
Approximate Lifted Inference with Probabilistic Databases
Wolfgang Gatterbauer
Dan Suciu
TPM
96
21
0
02 Dec 2014
Dissociation and Propagation for Approximate Lifted Inference with Standard Relational Database Management Systems
Wolfgang Gatterbauer
Dan Suciu
129
21
0
23 Oct 2013
First-Order Decomposition Trees
N. Taghipour
Jesse Davis
Hendrik Blockeel
160
20
0
04 Jun 2013
Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic
William Yang Wang
Kathryn Mazaitis
William W. Cohen
LRM
100
105
0
10 May 2013
Lifted Graphical Models: A Survey
Lilyana Mihalkova
Lise Getoor
3DV
170
96
0
25 Jul 2011
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