3 papers
cs.LG2026
PeTeR: Post-Training Robustification of Probabilistic Circuits
Adrian Ciotinga, Yeming Dai, YooJung Choi
Probabilistic circuits (PCs) can model complex joint distributions while supporting exact and efficient computation of many inference queries. However, standard likelihood-based PC…
cs.AI2026
Monte Carlo Query Search: Active Capability Assessment of AI Agents
Daniel Bramblett, Rushang Karia, Adrian Ciotinga +3
Black-box AI (BBAI) systems, including foundation-model agents, are increasingly used for sequential decision making. Safe deployment requires methods for characterizing what such…
cs.AI2025
Optimal Transport for Probabilistic Circuits
Adrian Ciotinga, YooJung Choi
We introduce a novel optimal transport framework for probabilistic circuits (PCs). While it has been shown recently that divergences between distributions represented as certain cl…