| Strudel: Learning Structured-Decomposable Probabilistic Circuits M Dang, A Vergari, G Van den Broeck The 10th International Conference on Probabilistic Graphical Models, 2020 | 31 | 2020 |
| Group Fairness by Probabilistic Modeling with Latent Fair Decisions YJ Choi, M Dang, G Van den Broeck The 35th AAAI Conference on Artificial Intelligence, 2021 | 27 | 2021 |
| Juice: A Julia Package for Logic and Probabilistic Circuits M Dang, P Khosravi, Y Liang, A Vergari, G Van den Broeck The 35th AAAI Conference on Artificial Intelligence, 2021 | 23 | 2021 |
| Strudel: A fast and accurate learner of structured-decomposable probabilistic circuits M Dang, A Vergari, G Van den Broeck International Journal of Approximate Reasoning 140, 92-115, 2022 | 9 | 2022 |
| Sparse Probabilistic Circuits via Pruning and Growing M Dang, A Liu, G Van den Broeck The 36th Conference on Neural Information Processing Systems, 2022 | 7 | 2022 |
| Scaling pareto-efficient decision making via offline multi-objective rl B Zhu, M Dang, A Grover arXiv preprint arXiv:2305.00567, 2023 | 5 | 2023 |
| Tractable control for autoregressive language generation H Zhang, M Dang, N Peng, G Van den Broeck International Conference on Machine Learning, 40932-40945, 2023 | 4 | 2023 |
| Tractable and expressive generative models of genetic variation data M Dang, A Liu, X Wei, S Sankararaman, G Van den Broeck bioRxiv, 2023.05. 16.541036, 2023 | 2 | 2023 |
| Scaling Up Probabilistic Circuits for Inference Demanding Applications M Dang University of California, Los Angeles, 2023 | | 2023 |
Guy Van den BroeckAssociate Professor and Samueli Fellow, UCLAVerified email at cs.ucla.edu
