About me
I am an Assistant Professor in the School of Computing and Augmented Intelligence at Arizona State University. Before joining ASU, I received my PhD from the Computer Science department at UCLA, advised by Guy Van den Broeck. My research interests are in probabilistic reasoning and learning (tractable probabilistic models, graphical models, knowledge compilation) and trustworthy AI/ML (robustness, fairness, explainability, and more).
News
- September 2025: Our paper On the Hardness of Approximating Distributions with Probabilistic Circuits was accepted at NeurIPS 2025 as a spotlight!
- May 2025: Our paper Optimal Transport for Probabilistic Circuits was accepted at UAI 2025!
- October 2024: I gave a talk in the Dr. Frederica Darema Lecture Series at Illinois Institute of Technology.
- September 2024: Our paper A Compositional Atlas for Algebraic Circuits was accepted at NeurIPS 2024!
- May 2024: I am co-organizing the TPM 2024 Workshop at UAI 2024 in Barcelona!
- August 2023: In Fall 2023, I will be visiting the Simons Institute for the Theory of Computing at UC Berkeley.
Recent publications
PeTeR: Post-Training Robustification of Probabilistic Circuits
Adrian Ciotinga, Yeming Dai, and YooJung Choi.
In the 9th Workshop on Tractable Probabilistic Modeling (TPM), 2026.
arXiv
Online Structure Learning of Probabilistic Circuits
Stefan Wagner, Anish Kuttetira, and YooJung Choi.
In the 9th Workshop on Tractable Probabilistic Modeling (TPM), 2026.
Statistical Guarantees for Probabilistic Circuit Parameter Learning
John Leland and YooJung Choi.
In the 9th Workshop on Tractable Probabilistic Modeling (TPM), 2026.
A canonical generalization of OBDD
Florent Capelli, YooJung Choi, Stefan Mengel, Martín Muñoz, and Guy Van den Broeck.
In Proceedings of the 29th International Conference on Theory and Applications of Satisfiability Testing (SAT), 2026.
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