factor graph

An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph IJCAI 2019 ClusterSLAM: A SLAM Backend for Simultaneous Rigid Body Clustering and Motion Estimation ICCV 2019 Factor Graph Attention CVPR 2019 Generating and Sampling Orbits for Lifted Probabilistic Inference UAI 2019 Learning Meshes for Dense Visual SLAM ICCV 2019 Scene Graph Prediction With Limited Labels ICCV 2019 Convergence Analysis of Distributed Inference with Vector-Valued Gaussian Belief Propagation JMLR 2018 Minibatch Gibbs Sampling on Large Graphical Models ICML 2018 Neural Factor Graph Models for Cross-lingual Morphological Tagging ACL 2018 Weakly Learning to Match Experts in Online Community IJCAI 2018 EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms NeurIPS 2017 Min-Max Propagation NeurIPS 2017 Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs RSS 2016 Semi-supervised Gender Classification with Joint Textual and Social Modeling COLING 2016 Structured Prediction Theory Based on Factor Graph Complexity NeurIPS 2016 AD3: Alternating Directions Dual Decomposition for MAP Inference in Graphical Models JMLR 2015 IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation RSS 2015 Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width NeurIPS 2015 Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning NeurIPS 2014 Min-Max Problems on Factor Graphs ICML 2014 Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets NeurIPS 2014 Message Passing Inference with Chemical Reaction Networks NeurIPS 2013 Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction NeurIPS 2012 Adaptive Exact Inference in Graphical Models JMLR 2011 Boosted Optimization for Network Classification AISTATS 2010