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Meihua Dang
Meihua Dang
Student, Stanford University
Подтвержден адрес электронной почты в домене cs.stanford.edu - Главная страница
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Процитировано
Процитировано
Год
Diffusion model alignment using direct preference optimization
B Wallace, M Dang, R Rafailov, L Zhou, A Lou, S Purushwalkam, S Ermon, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
1372024
Tractable control for autoregressive language generation
H Zhang, M Dang, N Peng, G Van den Broeck
Proceedings of the 40th International Conference on Machine Learning, 40932 …, 2023
462023
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
422021
Strudel: Learning Structured-Decomposable Probabilistic Circuits
M Dang, A Vergari, G Van den Broeck
Proceedings of the 10th International Conference on Probabilistic Graphical …, 2020
412020
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
352021
Sparse Probabilistic Circuits via Pruning and Growing
M Dang, A Liu, G Van den Broeck
Advances in Neural Information Processing Systems 35 (NeurIPS), 2022
192022
Scaling pareto-efficient decision making via offline multi-objective rl
B Zhu, M Dang, A Grover
The 11th International Conference on Learning Representations, 2023
182023
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
122022
Tractable and expressive generative models of genetic variation data
M Dang, A Liu, X Wei, S Sankararaman, G Van den Broeck
bioRxiv, 2023
102023
Personalized Preference Fine-tuning of Diffusion Models
M Dang, A Singh, L Zhou, S Ermon, J Song
arXiv preprint arXiv:2501.06655, 2025
2025
Scaling Up Probabilistic Circuits for Inference Demanding Applications
M Dang
University of California, Los Angeles, 2023
2023
Scaling Up Probabilistic Circuits via Monarch Matrices
H Zhang, B Wang, M Dang, N Peng, S Ermon, G Van den Broeck
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