Physics-informed neural operator for learning partial differential equations Z Li, H Zheng, N Kovachki, D Jin, H Chen, B Liu, K Azizzadenesheli, ... ACM/JMS Journal of Data Science, 2021 | 271 | 2021 |
Fast sampling of diffusion models via operator learning H Zheng, W Nie, A Vahdat, K Azizzadenesheli, A Anandkumar International Conference on Machine Learning, 42390-42402, 2023 | 63 | 2023 |
Implicit competitive regularization in GANs F Schäfer, H Zheng, A Anandkumar arXiv preprint arXiv:1910.05852, 2019 | 33 | 2019 |
Langevin monte carlo for contextual bandits P Xu, H Zheng, EV Mazumdar, K Azizzadenesheli, A Anandkumar International Conference on Machine Learning, 24830-24850, 2022 | 21 | 2022 |
Fast training of diffusion models with masked transformers H Zheng, W Nie, A Vahdat, A Anandkumar arXiv preprint arXiv:2306.09305, 2023 | 18 | 2023 |
Physics-informed neural operator for learning partial differential equations. arXiv 2021 Z Li, H Zheng, N Kovachki, D Jin, H Chen, B Liu, K Azizzadenesheli, ... arXiv preprint arXiv:2111.03794, 0 | 6 | |