Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing

27 June 2012

Papers citing "Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing"

19 / 19 papers shown

Title
Leveraging graphical model techniques to study evolution on phylogenetic networks Benjamin Teo P. Bastide Cécile Ané 27 1 0 15 May 2024
Understanding the Behavior of Belief Propagation Christian Knoll 3DV 12 3 0 05 Sep 2022
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning Matthew Ashman T. Bui Cuong V Nguyen Efstratios Markou Adrian Weller S. Swaroop Richard Turner FedML 19 12 0 24 Feb 2022
Reactive Message Passing for Scalable Bayesian Inference Dmitry V. Bagaev Bert De Vries 33 18 0 25 Dec 2021
Strengthening Probabilistic Graphical Models: The Purge-and-merge Algorithm Simon Streicher J. D. Preez TPM 19 4 0 30 Sep 2021
Equivariant Neural Network for Factor Graphs Fan-Yun Sun Jonathan Kuck Hao Tang Stefano Ermon 27 1 0 29 Sep 2021
A visual introduction to Gaussian Belief Propagation Joseph Ortiz Talfan Evans Andrew J. Davison 15 32 0 05 Jul 2021
Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving Yang Song Chenlin Meng Renjie Liao Stefano Ermon 9 28 0 10 Feb 2020
Learning Data Dependency with Communication Cost Hyeryung Jang Hyungseok Song Yung Yi 19 1 0 29 Apr 2018
Graph Partition Neural Networks for Semi-Supervised Classification Renjie Liao Marc Brockschmidt Daniel Tarlow Alexander L. Gaunt R. Urtasun R. Zemel GNN 22 76 0 16 Mar 2018
Fixed Points of Belief Propagation -- An Analysis via Polynomial Homotopy Continuation Christian Knoll Franz Pernkopf D. Mehta Tianran Chen 27 17 0 20 May 2016
Approximate inference on planar graphs using Loop Calculus and Belief Propagation Vicencc Gómez H. Kappen Michael Chertkov 55 18 0 09 Aug 2014
Linearized and Single-Pass Belief Propagation Wolfgang Gatterbauer Stephan Günnemann Danai Koutra Christos Faloutsos 32 1 0 27 Jun 2014
Generalized Belief Propagation on Tree Robust Structured Region Graphs A. Gelfand Max Welling 35 6 0 16 Oct 2012
Template Based Inference in Symmetric Relational Markov Random Fields A. Jaimovich Ofer Meshi N. Friedman 38 51 0 20 Jun 2012
Distributed Parallel Inference on Large Factor Graphs Joseph E. Gonzalez Yucheng Low Carlos Guestrin D. O'Hallaron GNN LRM 51 65 0 09 May 2012
Mean Field Variational Approximation for Continuous-Time Bayesian Networks Ido Cohn T. El-Hay N. Friedman R. Kupferman 47 72 0 09 May 2012
Distributed GraphLab: A Framework for Machine Learning in the Cloud Yucheng Low Joseph E. Gonzalez Aapo Kyrola Danny Bickson Carlos Guestrin J. M. Hellerstein GNN FedML 47 1,067 0 26 Apr 2012
Interpreting Graph Cuts as a Max-Product Algorithm Daniel Tarlow Inmar E. Givoni R. Zemel B. Frey 34 3 0 05 May 2011