Hierarchy-GBP: Accelerating Factor Graph Inference via Abstraction and Recovery

Excerpt

arXiv:2610.06978v1 Announce Type: cross Abstract: 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 across distant graph regions incrementally through long-range message propagations. We propose Hierarchy-GBP (H-GBP), an iterativ