Hongkai Zheng

17 papers A* 4Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Advancing End-to-End Pixel Space Generative Modeling via Self-supervised Pre-training.
CoRR
Jiachen Lei, Keli Liu, Julius Berner, Haiming Yu, Hongkai Zheng, Jiahong Wu, Xiangxiang Chu
2025 J jnl
Blade: A Derivative-free Bayesian Inversion Method using Diffusion Priors.
CoRR
Hongkai Zheng, Austin Wang, Zihui Wu, Zhengyu Huang, Ricardo Baptista, Yisong Yue
2025 J jnl
Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems.
Trans. Mach. Learn. Res.
Hongkai Zheng, Wenda Chu, Austin Wang, Nikola Borislavov Kovachki, Ricardo Baptista, Yisong Yue
2025 J jnl
Group-Wise Optimization for Self-Extensible Codebooks in Vector Quantized Models.
CoRR
Hongkai Zheng, Piji Li
2025 A* conf
InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences.
ICLR
Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang, Berthy Feng, Caifeng Zou, Yu Sun, Nikola Borislavov Kovachki, Zachary E. Ross, Katherine L. Bouman, Yisong Yue
2025 J jnl
InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences.
CoRR
Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang, Berthy T. Feng, Caifeng Zou, Yu Sun, Nikola B. Kovachki, Zachary E. Ross, Katherine L. Bouman, Yisong Yue
2025 J jnl
LSRS: Latent Scale Rejection Sampling for Visual Autoregressive Modeling.
CoRR
Hongkai Zheng, Piji Li
2024 J jnl
Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems.
CoRR
Hongkai Zheng, Wenda Chu, Austin Wang, Nikola B. Kovachki, Ricardo Baptista, Yisong Yue
2024 J jnl
Fast Training of Diffusion Models with Masked Transformers.
Trans. Mach. Learn. Res.
Hongkai Zheng, Weili Nie, Arash Vahdat, Anima Anandkumar
2023 A* conf
Fast Sampling of Diffusion Models via Operator Learning.
ICML
Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar
2023 J jnl
Fast Training of Diffusion Models with Masked Transformers.
CoRR
Hongkai Zheng, Weili Nie, Arash Vahdat, Anima Anandkumar
2022 J jnl
Fast Sampling of Diffusion Models via Operator Learning.
CoRR
Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar
2022 A* conf
Langevin Monte Carlo for Contextual Bandits.
ICML
Pan Xu, Hongkai Zheng, Eric V. Mazumdar, Kamyar Azizzadenesheli, Animashree Anandkumar
2022 J jnl
Langevin Monte Carlo for Contextual Bandits.
CoRR
Pan Xu, Hongkai Zheng, Eric Mazumdar, Kamyar Azizzadenesheli, Anima Anandkumar
2021 J jnl
Physics-Informed Neural Operator for Learning Partial Differential Equations.
CoRR
Zongyi Li, Hongkai Zheng, Nikola B. Kovachki, David Jin, Haoxuan Chen, Burigede Liu, Kamyar Azizzadenesheli, Anima Anandkumar
2020 A* conf
Implicit competitive regularization in GANs.
ICML
Florian Schäfer, Hongkai Zheng, Animashree Anandkumar
2019 J jnl
Implicit competitive regularization in GANs.
CoRR
Florian Schäfer, Hongkai Zheng, Anima Anandkumar