AI RESEARCH
Geometry-Aware Probabilistic Circuits via Voronoi Tessellations
arXiv CS.AI
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ArXi:2603.11946v1 Announce Type: cross Probabilistic circuits (PCs) enable exact and tractable inference but employ data independent mixture weights that limit their ability to capture local geometry of the data manifold. We propose Voronoi tessellations (VT) as a natural way to incorporate geometric structure directly into the sum nodes of a PC. However, na\"ively