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
A canonical generalization of OBDD
Florent Capelli, YooJung Choi, Stefan Mengel, Martín Muñoz, and Guy Van den Broeck.
(preprint), 2026.
arXiv
Discovering and Learning Probabilistic Models of Black-Box AI Capabilities
Daniel Bramblett, Rushang Karia, Adrian Ciotinga, Ruthvick Suresh, Pulkit Verma, YooJung Choi, and Siddharth Srivastava.
(preprint), 2025.
arXiv
Probabilistic Circuits for Knowledge Graph Completion with Reduced Rule Sets
Jaikrishna Manojkumar Patil, Nathaniel Lee, Al Mehdi Saadat Chowdhury, YooJung Choi, and Paulo Shakarian.
(preprint), 2025.
arXiv
On the Hardness of Approximating Distributions with Tractable Probabilistic Models
John Leland and YooJung Choi.
In Advances in Neural Information Processing Systems 39 (NeurIPS), 2025.
Spotlight presentation (acceptance rate 688/21575 = 3.2%)
PDF BibTex