Meihua Dang

22 papers A* 8B 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Discrete Diffusion Trajectory Alignment via Stepwise Decomposition.
CoRR
Jiaqi Han, Austin Wang, Minkai Xu, Wenda Chu, Meihua Dang, Yisong Yue, Stefano Ermon
2025 J jnl
Divergence Minimization Preference Optimization for Diffusion Model Alignment.
CoRR
Binxu Li, Minkai Xu, Meihua Dang, Stefano Ermon
2025 J jnl
Inference-Time Scaling of Diffusion Language Models with Particle Gibbs Sampling.
CoRR
Meihua Dang, Jiaqi Han, Minkai Xu, Kai Xu, Akash Srivastava, Stefano Ermon
2025 A* conf
Personalized Preference Fine-tuning of Diffusion Models.
CVPR
Meihua Dang, Anikait Singh, Linqi Zhou, Stefano Ermon, Jiaming Song
2025 J jnl
Personalized Preference Fine-tuning of Diffusion Models.
CoRR
Meihua Dang, Anikait Singh, Linqi Zhou, Stefano Ermon, Jiaming Song
2025 A* conf
Scaling Probabilistic Circuits via Monarch Matrices.
ICML
Honghua Zhang, Meihua Dang, Benjie Wang, Stefano Ermon, Nanyun Peng, Guy Van den Broeck
2025 J jnl
Scaling Probabilistic Circuits via Monarch Matrices.
CoRR
Honghua Zhang, Meihua Dang, Benjie Wang, Stefano Ermon, Nanyun Peng, Guy Van den Broeck
2024 A* conf
Diffusion Model Alignment Using Direct Preference Optimization.
CVPR
Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Purushwalkam, Stefano Ermon, Caiming Xiong, Shafiq Joty, Nikhil Naik
2023 J jnl
Diffusion Model Alignment Using Direct Preference Optimization.
CoRR
Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Purushwalkam, Stefano Ermon, Caiming Xiong, Shafiq Joty, Nikhil Naik
2023 J jnl
Scaling Pareto-Efficient Decision Making Via Offline Multi-Objective RL.
CoRR
Baiting Zhu, Meihua Dang, Aditya Grover
2023 A* conf
Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL.
ICLR
Baiting Zhu, Meihua Dang, Aditya Grover
2023 A* conf
Tractable Control for Autoregressive Language Generation.
ICML
Honghua Zhang, Meihua Dang, Nanyun Peng, Guy Van den Broeck
2023 J jnl
Tractable Control for Autoregressive Language Generation.
CoRR
Honghua Zhang, Meihua Dang, Nanyun Peng, Guy Van den Broeck
2022 A* conf
Sparse Probabilistic Circuits via Pruning and Growing.
NeurIPS
Meihua Dang, Anji Liu, Guy Van den Broeck
2022 J jnl
Sparse Probabilistic Circuits via Pruning and Growing.
CoRR
Meihua Dang, Anji Liu, Guy Van den Broeck
2022 J jnl
Strudel: A fast and accurate learner of structured-decomposable probabilistic circuits.
Int. J. Approx. Reason.
Meihua Dang, Antonio Vergari, Guy Van den Broeck
2022 B conf
Tractable and Expressive Generative Models of Genetic Variation Data.
RECOMB
Meihua Dang, Anji Liu, Xinzhu Wei, Sriram Sankararaman, Guy Van den Broeck
2021 A* conf
Group Fairness by Probabilistic Modeling with Latent Fair Decisions.
AAAI
YooJung Choi, Meihua Dang, Guy Van den Broeck
2021 A* conf
Juice: A Julia Package for Logic and Probabilistic Circuits.
AAAI
Meihua Dang, Pasha Khosravi, Yitao Liang, Antonio Vergari, Guy Van den Broeck
2020 J jnl
Group Fairness by Probabilistic Modeling with Latent Fair Decisions.
CoRR
YooJung Choi, Meihua Dang, Guy Van den Broeck
2020 — conf
Strudel: Learning Structured-Decomposable Probabilistic Circuits.
PGM
Meihua Dang, Antonio Vergari, Guy Van den Broeck
2020 J jnl
Strudel: Learning Structured-Decomposable Probabilistic Circuits.
CoRR
Meihua Dang, Antonio Vergari, Guy Van den Broeck