Zheng, Hongkai

8 publications

TMLR 2025 Ensemble Kalman Diffusion Guidance: A Derivative-Free Method for Inverse Problems Hongkai Zheng, Wenda Chu, Austin Wang, Nikola Borislavov Kovachki, Ricardo Baptista, Yisong Yue

ICLRW 2025 Ensemble Kalman Sampling and Diffusion Prior in Tandem: A Split Gibbs Framework Austin Wang, Hongkai Zheng, Zihui Wu, Ricardo Baptista, Daniel Zhengyu Huang, Yisong Yue

ICLR 2025 InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang, Berthy Feng, Caifeng Zou, Yu Sun, Nikola Borislavov Kovachki, Zachary E Ross, Katherine Bouman, Yisong Yue

TMLR 2024 Fast Training of Diffusion Models with Masked Transformers Hongkai Zheng, Weili Nie, Arash Vahdat, Anima Anandkumar

ICML 2023 Fast Sampling of Diffusion Models via Operator Learning Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar

NeurIPSW 2022 Fast Sampling of Diffusion Models via Operator Learning Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar

ICML 2022 Langevin Monte Carlo for Contextual Bandits Pan Xu, Hongkai Zheng, Eric V Mazumdar, Kamyar Azizzadenesheli, Animashree Anandkumar

ICML 2020 Implicit Competitive Regularization in GANs Florian Schaefer, Hongkai Zheng, Animashree Anandkumar