Следене
Zongyi Li
Zongyi Li
Потвърден имейл адрес: caltech.edu - Начална страница
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Позовавания
Година
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
6302020
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
2332020
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
1432020
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
1242021
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
662022
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
502022
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
482021
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
182021
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
172021
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
112022
Learning Abduction Using Partial Observability
B Juba, Z Li, E Miller
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
82018
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
62022
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
62021
Conditional linear regression
D Calderon, B Juba, S Li, Z Li, L Ruan
International Conference on Artificial Intelligence and Statistics, 2164-2173, 2018
62018
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
12022
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
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