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RockIt: Exploiting Parallelism and Symmetry for MAP Inference in
  Statistical Relational Models
v1v2 (latest)

RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models

16 April 2013
Jan Nößner
Mathias Niepert
Heiner Stuckenschmidt
ArXiv (abs)PDFHTML

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
On the Aggregation of Rules for Knowledge Graph Completion
Patrick Betz
Stefan Lüdtke
Christian Meilicke
Heiner Stuckenschmidt
57
2
0
01 Sep 2023
The Integer Linear Programming Inference Cookbook
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
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
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
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
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
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
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
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
Ontology Matching with Knowledge Rules
Shangpu Jiang
Daniel Lowd
Dejing Dou
50
30
0
11 Jul 2015
Lifted Probabilistic Inference for Asymmetric Graphical Models
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
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
Lifted Graphical Models: A Survey
Lilyana Mihalkova
Lise Getoor
3DV
170
96
0
25 Jul 2011
1