PeTeR Adds Post-Training Robustification to Probabilistic Circuits

arXiv·low signal

PeTeR proposes a post-training method to robustify probabilistic circuits (PCs), which model complex joint distributions while supporting exact, efficient inference queries. The technique is niche, aimed at practitioners already using tractable probabilistic models rather than mainstream deep-learning stacks.