Burigede Liu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Chaotic Dynamics

Ambrosio Tortorelli

Partial Differential Equations

Evolution Equation

Top Venues

Multiscale Model. Simul.

Publications

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) (2024)
Burigede Liu, Michael Ortiz, Fehmi Cirak
Towards Quantum Computational Mechanics. CoRR (2023)
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 (2023)
Kaushik Bhattacharya, Burigede Liu, Andrew M. Stuart, Margaret Trautner
Learning Markovian Homogenized Models in Viscoelasticity. Multiscale Model. Simul. 21 (2) (2023)
Kaushik Bhattacharya, Burigede Liu, Andrew M. Stuart, Margaret Trautner
Learning Markovian Homogenized Models in Viscoelasticity. CoRR (2022)
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)
Xingsheng Sun, Burigede Liu
A Learning-Based Optimal Uncertainty Quantification Method and Its Application to Ballistic Impact Problems. CoRR (2022)
Zongyi Li, Daniel Zhengyu Huang, Burigede Liu, Anima Anandkumar
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries. CoRR (2022)
Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
Markov Neural Operators for Learning Chaotic Systems. CoRR (2021)
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)
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 (2021)
Nikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
Neural Operator: Learning Maps Between Function Spaces. CoRR (2021)
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)
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 (2020)
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 (2020)
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 (2020)