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 | 630 | 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 | 233 | 2020 |
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 | 143 | 2020 |
Neural operator: Learning maps between function spaces N Kovachki, Z Li, B Liu, K Azizzadenesheli, K Bhattacharya, A Stuart, ... arXiv preprint arXiv:2108.08481, 2021 | 124 | 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 | 66 | 2022 |
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 | 50 | 2022 |
Physics-informed neural operator for learning partial differential equations Z Li, H Zheng, N Kovachki, D Jin, H Chen, B Liu, K Azizzadenesheli, ... arXiv preprint arXiv:2111.03794, 2021 | 48 | 2021 |
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 | 33* | 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 | 18 | 2021 |
Markov neural operators for learning chaotic systems Z Li, N Kovachki, K Azizzadenesheli, B Liu, K Bhattacharya, A Stuart, ... arXiv preprint arXiv:2106.06898, 2021 | 17 | 2021 |
Fourier neural operator with learned deformations for pdes on general geometries Z Li, DZ Huang, B Liu, A Anandkumar arXiv preprint arXiv:2207.05209, 2022 | 11 | 2022 |
Learning Abduction Using Partial Observability B Juba, Z Li, E Miller Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 8 | 2018 |
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 | 6 | 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 | 6 | 2021 |
Conditional linear regression D Calderon, B Juba, S Li, Z Li, L Ruan International Conference on Artificial Intelligence and Statistics, 2164-2173, 2018 | 6 | 2018 |
Accelerating Carbon Capture and Storage Modeling using Fourier Neural Operators G Wen, Z Li, Q Long, K Azizzadenesheli, A Anandkumar, SM Benson arXiv preprint arXiv:2210.17051, 2022 | 1 | 2022 |
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 | | 2023 |
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 | | 2022 |
Fourier Continuation for Exact Derivative Computation in Physics-Informed Neural Operators H Maust, Z Li, Y Wang, D Leibovici, O Bruno, T Hou, A Anandkumar arXiv preprint arXiv:2211.15960, 2022 | | 2022 |
Incremental Fourier Neural Operator J Zhao, RJ George, Y Zhang, Z Li, A Anandkumar arXiv preprint arXiv:2211.15188, 2022 | | 2022 |