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2020 – today
- 2024
[j4]Siamak S. Shishvan
, Azam Rahgouy, Burigede Liu:
RVE-based virtual testing for investigation of the shear behaviour of cross-ply composites. Eng. Comput. 40(1): 381-397 (2024)- 2023
- [j3]Nikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar:
Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs. J. Mach. Learn. Res. 24: 89:1-89:97 (2023) - [j2]Zongyi Li, Daniel Zhengyu Huang, Burigede Liu, Anima Anandkumar:
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries. J. Mach. Learn. Res. 24: 388:1-388:26 (2023) - [j1]Kaushik Bhattacharya, Burigede Liu, Andrew M. Stuart, Margaret Trautner:
Learning Markovian Homogenized Models in Viscoelasticity. Multiscale Model. Simul. 21(2): 641-679 (2023) - [i10]Burigede Liu, Michael Ortiz, Fehmi Cirak:
Towards Quantum Computational Mechanics. CoRR abs/2312.03791 (2023) - 2022
- [c3]Zongyi Li, Miguel Liu-Schiaffini, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar:
Learning Chaotic Dynamics in Dissipative Systems. NeurIPS 2022 - [d1]Zongyi Li, Miguel Liu-Schiaffini, Nikola Borislavov Kovachki, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar:
Learning Dissipative Dynamics in Chaotic Systems (Datasets). Zenodo, 2022
- [i9]Kaushik Bhattacharya, Burigede Liu, Andrew M. Stuart, Margaret Trautner:
Learning Markovian Homogenized Models in Viscoelasticity. CoRR abs/2205.14139 (2022) - [i8]Zongyi Li, Daniel Zhengyu Huang, Burigede Liu, Anima Anandkumar:
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries. CoRR abs/2207.05209 (2022) - [i7]Xingsheng Sun, Burigede Liu:
A Learning-Based Optimal Uncertainty Quantification Method and Its Application to Ballistic Impact Problems. CoRR abs/2212.14709 (2022) - 2021
- [c2]Zongyi Li, Nikola Borislavov Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar:
Fourier Neural Operator for Parametric Partial Differential Equations. ICLR 2021 - [i6]Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar:
Markov Neural Operators for Learning Chaotic Systems. CoRR abs/2106.06898 (2021) - [i5]Nikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar:
Neural Operator: Learning Maps Between Function Spaces. CoRR abs/2108.08481 (2021) - [i4]Zongyi Li, Hongkai Zheng, Nikola B. Kovachki, David Jin, Haoxuan Chen, Burigede Liu, Kamyar Azizzadenesheli, Anima Anandkumar:
Physics-Informed Neural Operator for Learning Partial Differential Equations. CoRR abs/2111.03794 (2021) - 2020
- [c1]Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Andrew M. Stuart, Kaushik Bhattacharya, Anima Anandkumar:
Multipole Graph Neural Operator for Parametric Partial Differential Equations. NeurIPS 2020 - [i3]Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar:
Neural Operator: Graph Kernel Network for Partial Differential Equations. CoRR abs/2003.03485 (2020) - [i2]Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar:
Multipole Graph Neural Operator for Parametric Partial Differential Equations. CoRR abs/2006.09535 (2020) - [i1]Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar:
Fourier Neural Operator for Parametric Partial Differential Equations. CoRR abs/2010.08895 (2020)
Coauthor Index
aka: Nikola Borislavov Kovachki
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