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Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators
Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, Pedram Hassanzadeh, Karthik Kashinath, Animashree Anandkumar
arXiv preprint arXiv:2202.11214
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Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers
John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro
In The International Conference on Learning Representations (ICLR 2022)
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Physics-informed neural operator for learning partial differential equations
Zongyi Li, Hongkai Zheng, Nikola Kovachki, David Jin, Haoxuan Chen, Burigede Liu, Kamyar Azizzadenesheli, Anima Anandkumar
arXiv preprint arXiv:2111.03794
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Neural operator: Learning maps between function spaces
Kovachki, Nikola,
Li, Zongyi,
Liu, Burigede,
Azizzadenesheli, Kamyar,
Bhattacharya, Kaushik,
Stuart, Andrew,
and Anandkumar, Anima
arXiv preprint arXiv:2108.08481
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U-FNO–an enhanced Fourier neural operator based-deep learning model for multiphase flow
Wen, Gege,
Li, Zongyi,
Azizzadenesheli, Kamyar,
Anandkumar, Anima,
and Benson, Sally M
Advances in Water Resources 163, 104180
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Markov Neural Operators for Learning Chaotic Systems
Li, Zongyi,
vachki, Nikola,
Azizzadenesheli, Kamyar,
Liu, Burigede,
Bhattacharya, Kaushik,
Stuart, Andrew,
and Anandkumar, Anima
arXiv preprint 2106.06898
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A learning-based multiscale method and its application to inelastic impact problems
Liu, Burigede,
Kovachki, Nikola,
Li, Zongyi,
Azizzadenesheli, Kamyar,
Anandkumar, Anima,
Stuart, Andrew,
and Bhattacharya, Kaushik
Journal of the Mechanics and Physics of Solids
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Fourier Neural Operator for Parametric Partial Differential Equations
Li, Zongyi,
Kovachki, Nikola,
Azizzadenesheli, Kamyar,
Liu, Burigede,
Bhattacharya, Kaushik,
Stuart, Andrew,
and Anandkumar, Anima
In The International Conference on Learning Representations (ICLR 2021)
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Multipole Graph Neural Operator for Parametric Partial Differential Equations
Li, Zongyi,
Kovachki, Nikola,
Azizzadenesheli, Kamyar,
Liu, Burigede,
Bhattacharya, Kaushik,
Stuart, Andrew,
and Anandkumar, Anima
In Neural information processing systems (NeurIPS 2020)
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Neural Operator: Graph Kernel Network for Partial Differential Equations
Li, Zongyi,
Kovachki, Nikola,
Azizzadenesheli, Kamyar,
Liu, Burigede,
Bhattacharya, Kaushik,
Stuart, Andrew,
and Anandkumar, Anima
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Conditional linear regression
Calderon, Diego,
Juba, Brendan,
L, Sirui,
Li, Zongyi,
and Ruan, Lisa
In International Conference on Artificial Intelligence and Statistics (AISTATS 2020)
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Learning abduction using partial observability
Juba, Brendan,
Li, Zongyi,
and Miller, Evan
In Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018)