Automorphism Groups of Graphical Models and Lifted Variational Inference

26 September 2013

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 Malte Luttermann Tanya Braun Ralf Möller Marcel Gehrke 54 9 0 20 Sep 2023
Representation Learning for Dynamic Graphs: A Survey Seyed Mehran Kazemi Rishab Goel Kshitij Jain I. Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart AI4TS AI4CE GNN 105 464 0 27 May 2019
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 Steve Huntsman 73 2 0 24 Jan 2019
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 Stefan Lüdtke Max Schröder Frank Krüger Sebastian Bader T. Kirste 27 10 0 18 Apr 2018
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 Roei Herzig Moshiko Raboh Gal Chechik Jonathan Berant Amir Globerson GNN OCL 101 135 0 15 Feb 2018
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 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 Haroun Habeeb Ankit Anand Mausam Parag Singla 28 8 0 22 Jul 2017
Equivariance Through Parameter-Sharing Siamak Ravanbakhsh J. Schneider Barnabás Póczós 120 258 0 27 Feb 2017
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 28 0 0 05 Oct 2016
Lifted Region-Based Belief Propagation David B. Smith Parag Singla Vibhav Gogate 38 1 0 30 Jun 2016
Contextual Symmetries in Probabilistic Graphical Models Ankit Anand Aditya Grover Mausam Parag Singla 75 13 0 30 Jun 2016
Lifted Convex Quadratic Programming Martin Mladenov L. Kleinhans Kristian Kersting 30 1 0 14 Jun 2016
Lifted Probabilistic Inference for Asymmetric Graphical Models Guy Van den Broeck Mathias Niepert 57 36 0 01 Dec 2014
Relational Linear Programs Kristian Kersting Martin Mladenov P. Tokmakov 19 3 0 12 Oct 2014
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 Mathias Niepert Guy Van den Broeck TPM 156 77 0 07 Jan 2014
Dimension Reduction via Colour Refinement Martin Grohe Kristian Kersting Martin Mladenov Erkal Selman 73 56 0 22 Jul 2013
RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models Jan Nößner Mathias Niepert Heiner Stuckenschmidt 197 105 0 16 Apr 2013
Symmetry-Aware Marginal Density Estimation Mathias Niepert 85 21 0 09 Apr 2013
Lifted Graphical Models: A Survey Lilyana Mihalkova Lise Getoor 3DV 170 96 0 25 Jul 2011