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Automorphism Groups of Graphical Models and Lifted Variational Inference

Automorphism Groups of Graphical Models and Lifted Variational Inference

26 September 2013
Hung Bui
Tuyen N. Huynh
Sebastian Riedel
ArXiv (abs)PDFHTML

Papers citing "Automorphism Groups of Graphical Models and Lifted Variational Inference"

25 / 25 papers shown
Title
Colour Passing Revisited: Lifted Model Construction with Commutative
  Factors
Colour Passing Revisited: Lifted Model Construction with Commutative Factors
Malte Luttermann
Tanya Braun
Ralf Möller
Marcel Gehrke
54
9
0
20 Sep 2023
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
Generating and Sampling Orbits for Lifted Probabilistic Inference
Generating and Sampling Orbits for Lifted Probabilistic Inference
Steven Holtzen
T. Millstein
Guy Van den Broeck
133
10
0
12 Mar 2019
Fast Markov Chain Monte Carlo Algorithms via Lie Groups
Fast Markov Chain Monte Carlo Algorithms via Lie Groups
Steve Huntsman
73
2
0
24 Jan 2019
Block-Value Symmetries in Probabilistic Graphical Models
Block-Value Symmetries in Probabilistic Graphical Models
Gagan Madan
Ankit Anand
Mausam
Parag Singla
80
2
0
02 Jul 2018
State-Space Abstractions for Probabilistic Inference: A Systematic
  Review
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
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
Mapping Images to Scene Graphs with Permutation-Invariant Structured
  Prediction
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Roei Herzig
Moshiko Raboh
Gal Chechik
Jonathan Berant
Amir Globerson
GNNOCL
101
135
0
15 Feb 2018
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models
Ankit Anand
Ritesh Noothigattu
Parag Singla
Mausam
25
6
0
27 Jul 2017
Domain Recursion for Lifted Inference with Existential Quantifiers
Domain Recursion for Lifted Inference with Existential Quantifiers
Seyed Mehran Kazemi
Angelika Kimmig
Guy Van den Broeck
David Poole
62
12
0
24 Jul 2017
Coarse-to-Fine Lifted MAP Inference in Computer Vision
Coarse-to-Fine Lifted MAP Inference in Computer Vision
Haroun Habeeb
Ankit Anand
Mausam
Parag Singla
28
8
0
22 Jul 2017
Equivariance Through Parameter-Sharing
Equivariance Through Parameter-Sharing
Siamak Ravanbakhsh
J. Schneider
Barnabás Póczós
120
258
0
27 Feb 2017
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
63
37
0
26 Oct 2016
Lifted Message Passing for the Generalized Belief Propagation
Lifted Message Passing for the Generalized Belief Propagation
Udi Apsel
33
0
0
05 Oct 2016
Lifted Region-Based Belief Propagation
Lifted Region-Based Belief Propagation
David B. Smith
Parag Singla
Vibhav Gogate
38
1
0
30 Jun 2016
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
Lifted Convex Quadratic Programming
Lifted Convex Quadratic Programming
Martin Mladenov
L. Kleinhans
Kristian Kersting
40
1
0
14 Jun 2016
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
Relational Linear Programs
Relational Linear Programs
Kristian Kersting
Martin Mladenov
P. Tokmakov
23
3
0
12 Oct 2014
Lifted Tree-Reweighted Variational Inference
Lifted Tree-Reweighted Variational Inference
Hung Bui
Tuyen N. Huynh
David Sontag
66
10
0
17 Jun 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
Dimension Reduction via Colour Refinement
Dimension Reduction via Colour Refinement
Martin Grohe
Kristian Kersting
Martin Mladenov
Erkal Selman
77
56
0
22 Jul 2013
RockIt: Exploiting Parallelism and Symmetry for MAP Inference in
  Statistical Relational Models
RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models
Jan Nößner
Mathias Niepert
Heiner Stuckenschmidt
200
105
0
16 Apr 2013
Symmetry-Aware Marginal Density Estimation
Symmetry-Aware Marginal Density Estimation
Mathias Niepert
89
21
0
09 Apr 2013
Lifted Graphical Models: A Survey
Lifted Graphical Models: A Survey
Lilyana Mihalkova
Lise Getoor
3DV
170
96
0
25 Jul 2011
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