Preprint Open access
Hierarchy-GBP: Accelerating Factor Graph Inference via Abstraction and Recovery
Gaussian Belief Propagation (GBP) is a distributed inference algorithm that passes messages in graphical models, making it attractive for scalable spatial intelligence. However, we find GBP most effective locally: it rapidly smooths message errors that vary sharply between neighbor variables, but corrects global errors …