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RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models
16 April 2013
Jan Nößner
Mathias Niepert
Heiner Stuckenschmidt
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Papers citing
"RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models"
13 / 13 papers shown
Title
On the Aggregation of Rules for Knowledge Graph Completion
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Stefan Lüdtke
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57
2
0
01 Sep 2023
The Integer Linear Programming Inference Cookbook
Vivek Srikumar
Dan Roth
47
1
0
30 Jun 2023
Finding Minimal Cost Herbrand Models with Branch-Cut-and-Price
James Cussens
18
0
0
14 Aug 2018
Improving Optimization for Models With Continuous Symmetry Breaking
Robert Bamler
Stephan Mandt
DRL
72
15
0
08 Mar 2018
Beyond Markov Logic: Efficient Mining of Prediction Rules in Large Graphs
Tommaso Soru
André Valdestilhas
Edgard Marx
A. N. Ngomo
21
2
0
10 Feb 2018
Mandolin: A Knowledge Discovery Framework for the Web of Data
Tommaso Soru
Diego Esteves
Edgard Marx
A. N. Ngomo
30
1
0
03 Nov 2017
Induction of Interpretable Possibilistic Logic Theories from Relational Data
Ondrej Kuzelka
Jesse Davis
Steven Schockaert
NAI
132
12
0
19 May 2017
Contextual Symmetries in Probabilistic Graphical Models
Ankit Anand
Aditya Grover
Mausam
Parag Singla
75
13
0
30 Jun 2016
Using Abduction in Markov Logic Networks for Root Cause Analysis
J. Schoenfisch
Janno von Stülpnagel
J. Ortmann
Christian Meilicke
Heiner Stuckenschmidt
30
5
0
18 Nov 2015
Ontology Matching with Knowledge Rules
Shangpu Jiang
Daniel Lowd
Dejing Dou
50
30
0
11 Jul 2015
Lifted Probabilistic Inference for Asymmetric Graphical Models
Guy Van den Broeck
Mathias Niepert
57
36
0
01 Dec 2014
Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference
Mathias Niepert
Guy Van den Broeck
TPM
156
77
0
07 Jan 2014
Lifted Graphical Models: A Survey
Lilyana Mihalkova
Lise Getoor
3DV
170
96
0
25 Jul 2011
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