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.AI2025
Autonomous Assessment of Generalizability of AI Agent Capabilities
Daniel Bramblett, Rushang Karia, Adrian Ciotinga +3
Safe deployment of black-box AI (BBAI) systems such as foundation model agents requires methods for evaluating their capabilities in novel settings. We define an agent's capability…
cs.AI2024
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…