Papers citing 'Convergent message passing algorithms

Title
Understanding the Behavior of Belief Propagation Christian Knoll 3DV 124 5 0 05 Sep 2022
End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition Shaofei Wang Vishnu Suresh Lokhande M. Singh Konrad Paul Kording Julian Yarkony 121 2 0 06 Dec 2019
Graph Structured Prediction Energy NetworksNeural Information Processing Systems (NeurIPS), 2019 Colin Graber Alex Schwing 189 19 0 31 Oct 2019
Visual Semantic Information Pursuit: A Survey Daqi Liu M. Bober J. Kittler 120 32 0 13 Mar 2019
Deep Structured Prediction with Nonlinear Output Transformations Colin Graber Ofer Meshi Alex Schwing BDL 133 26 0 01 Nov 2018
On Coordinate Minimization of Convex Piecewise-Affine Functions Tomáš Werner 88 1 0 14 Sep 2017
Best-Choice Edge Grafting for Efficient Structure Learning of Markov Random Fields W. Chaabene Bert Huang 68 0 0 25 May 2017
A Bayesian algorithm for distributed network localization using distance and direction data H. Naseri V. Koivunen 76 37 0 06 Apr 2017
A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial ProblemsComputer Vision and Pattern Recognition (CVPR), 2016 Paul Swoboda Jan Kuske Bogdan Savchynskyy 164 29 0 16 Dec 2016
Decomposition Bounds for Marginal MAP Ming-Yu Liu Qiang Liu Alexander Ihler 100 24 0 09 Nov 2015
Performing Bayesian Risk Aggregation using Discrete Approximation Algorithms with Graph Factorization Peng Lin 91 4 0 02 Jun 2015
Diffusion Methods for Classification with Pairwise RelationshipsQuarterly of Applied Mathematics (Q. Appl. Math.), 2015 Pedro F. Felzenszwalb B. Svaiter 170 2 0 22 May 2015
Bethe Learning of Conditional Random Fields via MAP Decoding K. Tang Nicholas Ruozzi David Belanger Tony Jebara TPM 157 5 0 04 Mar 2015
Concavity of reweighted Kikuchi approximation Po-Ling Loh Andre Wibisono 44 3 0 26 Oct 2014
Learning Deep Structured ModelsInternational Conference on Machine Learning (ICML), 2014 Liang-Chieh Chen Alex Schwing Alan Yuille R. Urtasun BDL 276 250 0 09 Jul 2014
A new look at reweighted message passingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2013 V. Kolmogorov 222 54 0 22 Sep 2013
Simplifying Energy Optimization using Partial Enumeration Carl Olsson J. Ulén Yuri Boykov Vladimir Kolmogorov 111 1 0 07 Mar 2013
Variational Algorithms for Marginal MAPJournal of machine learning research (JMLR), 2011 Qiang Liu Alexander Ihler 229 80 0 26 Feb 2013
Learning Graphical Model Parameters with Approximate Marginal InferenceIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2013 Justin Domke TPM 147 187 0 15 Jan 2013
Message-Passing Algorithms for Quadratic Minimization Nicholas Ruozzi S. Tatikonda 190 28 0 02 Dec 2012
Efficient MRF Energy Minimization via Adaptive Diminishing SmoothingConference on Uncertainty in Artificial Intelligence (UAI), 2012 Bogdan Savchynskyy S. Schmidt Jörg H. Kappes Christoph Schnörr 161 61 0 16 Oct 2012
Tightening Fractional Covering Upper Bounds on the Partition Function for High-Order Region GraphsConference on Uncertainty in Artificial Intelligence (UAI), 2012 Tamir Hazan Jian-wei Peng Amnon Shashua 194 16 0 16 Oct 2012
Generalized Belief Propagation on Tree Robust Structured Region GraphsConference on Uncertainty in Artificial Intelligence (UAI), 2012 A. Gelfand Max Welling 124 6 0 16 Oct 2012
Generalized sequential tree-reweighted message passing V. Kolmogorov T. Schoenemann 245 22 0 29 May 2012
Approximated Structured Prediction for Learning Large Scale Graphical Models Tamir Hazan R. Urtasun 266 4 0 15 Jun 2010
Joint Structured Models for Extraction from Overlapping Sources Rahul Gupta Sunita Sarawagi 129 6 0 01 May 2010
Message-Passing Algorithms: Reparameterizations and SplittingsIEEE Transactions on Information Theory (TIT), 2010 Nicholas Ruozzi S. Tatikonda TPM 316 32 0 17 Feb 2010
Norm-Product Belief Propagation: Primal-Dual Message-Passing for Approximate InferenceIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2009 Tamir Hazan Amnon Shashua TPM 637 123 0 18 Mar 2009