loopy belief propagation

PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024 Factor Graph Neural Networks JMLR 2023 Amortized Bethe Free Energy Minimization for Learning MRFs NeurIPS 2019 Inference by Reparameterization in Neural Population Codes NeurIPS 2016 On Stacking Probabilistic Temporal Models with Bidirectional Information Flow PGM 2016 Expectation Particle Belief Propagation NeurIPS 2015 Inferning with High Girth Graphical Models ICML 2014 Loopy Belief Propagation in the Presence of Determinism AISTATS 2014 Scalable Inference for Neuronal Connectivity from Calcium Imaging NeurIPS 2014 Minimization of Continuous Bethe Approximations: A Positive Variation NeurIPS 2012 Learning unbelievable probabilities NeurIPS 2011 Approximate Inference by Compilation to Arithmetic Circuits NeurIPS 2010 Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation NeurIPS 2009 CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching RSS 2007 Linear programming analysis of loopy belief propagation for weighted matching NeurIPS 2007 Loop Series and Bethe Variational Bounds in Attractive Graphical Models NeurIPS 2007 Scene Segmentation with CRFs Learned from Partially Labeled Images NeurIPS 2007 Conditional mean field NeurIPS 2006 Walk-Sums and Belief Propagation in Gaussian Graphical Models JMLR 2006 Expectation Consistent Approximate Inference JMLR 2005