| Fourier neural operator for parametric partial differential equations Z Li, N Kovachki, K Azizzadenesheli, B Liu, K Bhattacharya, A Stuart, ... International Conference on Learning Representations, 2021, 2020 | 1944 | 2020 |
| Neural operator: Graph kernel network for partial differential equations Z Li, N Kovachki, K Azizzadenesheli, B Liu, K Bhattacharya, A Stuart, ... ICLR 2020 Workshop on Integration of Deep Neural Models and Differential …, 2020 | 615 | 2020 |
| Neural operator: Learning maps between function spaces N Kovachki, Z Li, B Liu, K Azizzadenesheli, K Bhattacharya, A Stuart, ... Journal of Machine Learning Research, (89):1−97, 2023., 2021 | 582* | 2021 |
| Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators J Pathak, S Subramanian, P Harrington, S Raja, A Chattopadhyay, ... arXiv preprint arXiv:2202.11214, 2022 | 418 | 2022 |
| Multipole graph neural operator for parametric partial differential equations Z Li, N Kovachki, K Azizzadenesheli, B Liu, A Stuart, K Bhattacharya, ... Advances in Neural Information Processing Systems 33, 6755-6766, 2020 | 327 | 2020 |
| 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 | 293 | 2021 |
| U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow G Wen, Z Li, K Azizzadenesheli, A Anandkumar, SM Benson Advances in Water Resources 163, 104180, 2022 | 240 | 2022 |
| Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers J Guibas, M Mardani, Z Li, A Tao, A Anandkumar, B Catanzaro International Conference on Learning Representations, 2022, 2021 | 216* | 2021 |
| Fourier neural operator with learned deformations for pdes on general geometries Z Li, DZ Huang, B Liu, A Anandkumar Journal of Machine Learning Research 24 (388), 1-26, 2023 | 136 | 2023 |
| Markov neural operators for learning chaotic systems Z Li, M Liu-Schiaffini, N Kovachki, K Azizzadenesheli, B Liu, ... Advances in Neural Information Processing Systems, 2022, 2021 | 74* | 2021 |
| A learning-based multiscale method and its application to inelastic impact problems B Liu, N Kovachki, Z Li, K Azizzadenesheli, A Anandkumar, A Stuart, ... Journal of the Mechanics and Physics of Solids, 2021 | 55 | 2021 |
| Real-time high-resolution CO 2 geological storage prediction using nested Fourier neural operators G Wen, Z Li, Q Long, K Azizzadenesheli, A Anandkumar, SM Benson Energy & Environmental Science 16 (4), 1732-1741, 2023 | 35* | 2023 |
| Geometry-informed neural operator for large-scale 3d pdes Z Li, N Kovachki, C Choy, B Li, J Kossaifi, S Otta, MA Nabian, M Stadler, ... Advances in Neural Information Processing Systems 36, 2024 | 23 | 2024 |
| The nonlocal neural operator: Universal approximation S Lanthaler, Z Li, AM Stuart arXiv preprint arXiv:2304.13221, 2023 | 21 | 2023 |
| Generic lithography modeling with dual-band optics-inspired neural networks H Yang, Z Li, K Sastry, S Mukhopadhyay, M Kilgard, A Anandkumar, ... Proceedings of the 59th ACM/IEEE Design Automation Conference, 973-978, 2022 | 21 | 2022 |
| Neural operators for accelerating scientific simulations and design K Azizzadenesheli, N Kovachki, Z Li, M Liu-Schiaffini, J Kossaifi, ... Nature Reviews Physics, 1-9, 2024 | 19 | 2024 |
| Forecasting subcritical cylinder wakes with Fourier Neural Operators PI Renn, C Wang, S Lale, Z Li, A Anandkumar, M Gharib arXiv preprint arXiv:2301.08290, 2023 | 13 | 2023 |
| Incremental fourier neural operator J Zhao, RJ George, Y Zhang, Z Li, A Anandkumar arXiv preprint arXiv:2211.15188, 2022 | 12 | 2022 |
| Intelligent Resolution: Integrating Cryo-EM with AI-driven Multi-resolution Simulations to Observe the SARS-CoV-2 Replication-Transcription Machinery in Action A Trifan, D Gorgun, Z Li, A Brace, M Zvyagin, H Ma, AR Clyde, DA Clark, ... bioRxiv, 2021 | 12 | 2021 |
| Machine learning accelerated pde backstepping observers Y Shi, Z Li, H Yu, D Steeves, A Anandkumar, M Krstic 2022 IEEE 61st Conference on Decision and Control (CDC), 5423-5428, 2022 | 11 | 2022 |
Anima AnandkumarCalifornia Institute of Technology and NVIDIA在 caltech.edu 的电子邮件经过验证
