Burigede Liu

According to our database, Burigede Liu authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

RVE-based virtual testing for investigation of the shear behaviour of cross-ply composites.

Siamak S. Shishvan, Azam Rahgouy, Burigede Liu

Eng. Comput., February, 2024

2023

Learning Markovian Homogenized Models in Viscoelasticity.

Kaushik Bhattacharya, Burigede Liu, Andrew M. Stuart, Margaret Trautner

Multiscale Model. Simul., June, 2023

Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs.

Nikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar

J. Mach. Learn. Res., 2023

Towards Quantum Computational Mechanics.

Burigede Liu, Michael Ortiz, Fehmi Cirak

CoRR, 2023

2022

Learning Dissipative Dynamics in Chaotic Systems (Datasets).

Zongyi Li, Miguel Liu-Schiaffini, Nikola Borislavov Kovachki, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar

Dataset, November, 2022

A Learning-Based Optimal Uncertainty Quantification Method and Its Application to Ballistic Impact Problems.

Xingsheng Sun, Burigede Liu

CoRR, 2022

Fourier Neural Operator with Learned Deformations for PDEs on General Geometries.

Zongyi Li, Daniel Zhengyu Huang, Burigede Liu, Anima Anandkumar

CoRR, 2022

Learning Chaotic Dynamics in Dissipative Systems.

Zongyi Li, Miguel Liu-Schiaffini, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Physics-Informed Neural Operator for Learning Partial Differential Equations.

Zongyi Li, Hongkai Zheng, Nikola B. Kovachki, David Jin, Haoxuan Chen, Burigede Liu, Kamyar Azizzadenesheli, Anima Anandkumar

CoRR, 2021

Neural Operator: Learning Maps Between Function Spaces.

Nikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar

CoRR, 2021

Markov Neural Operators for Learning Chaotic Systems.

Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar

CoRR, 2021

Fourier Neural Operator for Parametric Partial Differential Equations.

Zongyi Li, Nikola Borislavov Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Neural Operator: Graph Kernel Network for Partial Differential Equations.

Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar

CoRR, 2020

Multipole Graph Neural Operator for Parametric Partial Differential Equations.

Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Andrew M. Stuart, Kaushik Bhattacharya, Anima Anandkumar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020