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Global sharpness regularization can lead to underfitting in Probabilistic Circuits, but a new adaptive approach recovers generalization while maintaining robustness.
Voronoi tessellations can be incorporated into probabilistic circuits to capture data geometry, but only with careful architectural constraints or approximate inference.