Handling epistemic and aleatory uncertainties in probabilistic circuits

The paper studies how to separate epistemic and aleatory uncertainty in probabilistic circuits, an important step when models need to distinguish ignorance from inherent variability.

That distinction matters in cybersecurity because risk handling changes depending on whether uncertainty comes from missing evidence or from irreducible noise in the environment.