About me
I am an Assistant Professor in the School of Computing and Augmented Intelligence at Arizona State University. 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).
Before joining ASU, I received my PhD from the Computer Science department at UCLA, advised by Guy Van den Broeck.
I am currently looking for students at all levels. Please email me if you are interested.
News
- 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.
- December 2022: We presented our new and improved tutorial Probabilistic Circuits: Representations, Learning, and Reasoning at NeurIPS 2022! Watch it here.
- November 2022: Our paper Certifying Fairness of Probabilistic Circuits was accepted to AAAI 2023!
- November 2022: I was selected for the AAAI 2023 New Faculty Highlights Program.
Recent publications
Optimal Transport for Probabilistic Circuits
Adrian Ciotinga and YooJung Choi.
In the 16th International OPT Workshop on Optimization for Machine Learning, 2024.
arXiv BibTex
Fair Image Generation from Pre-trained Models by Probabilistic Modeling
Mahdi Ahmadi, John Leland, Agneet Chatterjee, and YooJung Choi.
In the Safe Generative AI Workshop at NeurIPS, 2024.
BibTex
A Compositional Atlas for Algebraic Circuits
Benjie Wang, Denis Deratani Mauá, Guy Van den Broeck, and YooJung Choi.
In Advances in Neural Information Processing Systems 38 (NeurIPS), 2024.
PDF BibTex
A Circus of Circuits: Connections Between Decision Diagrams, Circuits, and Automata
Antoine Amarilli, Marcelo Arenas, YooJung Choi, Mikaël Monet, Guy Van den Broeck, and Benjie Wang.
(preprint), 2024.
arXiv BibTex