belief propagation
PulseAugur coverage of belief propagation — every cluster mentioning belief propagation across labs, papers, and developer communities, ranked by signal.
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New Graph Transformer Improves Inference in Graphical Models
Researchers have developed In-Context Graphical Inference (ICG-I), a novel autoregressive Graph Transformer designed to improve marginal inference in discrete graphical models. This new method mimics the Variable Elimin…
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New method enables constrained sequence generation with variable-order Markov models
Researchers have developed a new method for generating sequences using variable-order Markov models that incorporates regular constraints. This approach extends existing belief propagation techniques to handle complex r…
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Graph Normalization offers differentiable approximation for NP-hard MWIS problem
Researchers have developed Graph Normalization (GN), a novel dynamical system that approximates the NP-hard Maximum Weight Independent Set (MWIS) problem. GN offers a principled and differentiable approach, converging t…