Burigede Liu - RankMe

20 papers A* 3Journal 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Learning-based Domain Decomposition Method. CoRR Rui Wu, Nikola B. Kovachki, Burigede Liu
2025	J	`jnl`	A Quantum Spectral Method for Non-Periodic Boundary Value Problems. CoRR Eky Febrianto, Yiren Wang, Burigede Liu, Michael Ortiz, Fehmi Cirak
2025	J	`jnl`	Temperature-Aware Recurrent Neural Operator for Temperature-Dependent Anisotropic Plasticity in HCP Materials. CoRR Yannick Hollenweger, Dennis M. Kochman, Burigede Liu
2024	J	`jnl`	RVE-based virtual testing for investigation of the shear behaviour of cross-ply composites. Eng. Comput. Siamak S. Shishvan, Azam Rahgouy, Burigede Liu
2023	J	`jnl`	Fourier Neural Operator with Learned Deformations for PDEs on General Geometries. J. Mach. Learn. Res. Zongyi Li, Daniel Zhengyu Huang, Burigede Liu, Anima Anandkumar
2023	J	`jnl`	Learning Markovian Homogenized Models in Viscoelasticity. Multiscale Model. Simul. Kaushik Bhattacharya, Burigede Liu, Andrew M. Stuart, Margaret Trautner
2023	J	`jnl`	Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs. J. Mach. Learn. Res. Nikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
2023	J	`jnl`	Towards Quantum Computational Mechanics. CoRR Burigede Liu, Michael Ortiz, Fehmi Cirak
2022	J	`jnl`	A Learning-Based Optimal Uncertainty Quantification Method and Its Application to Ballistic Impact Problems. CoRR Xingsheng Sun, Burigede Liu
2022	J	`jnl`	Fourier Neural Operator with Learned Deformations for PDEs on General Geometries. CoRR Zongyi Li, Daniel Zhengyu Huang, Burigede Liu, Anima Anandkumar
2022	A*	`conf`	Learning Chaotic Dynamics in Dissipative Systems. NeurIPS Zongyi Li, Miguel Liu-Schiaffini, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
2022	J	`jnl`	Learning Markovian Homogenized Models in Viscoelasticity. CoRR Kaushik Bhattacharya, Burigede Liu, Andrew M. Stuart, Margaret Trautner
2021	A*	`conf`	Fourier Neural Operator for Parametric Partial Differential Equations. ICLR Zongyi Li, Nikola Borislavov Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
2021	J	`jnl`	Markov Neural Operators for Learning Chaotic Systems. CoRR Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
2021	J	`jnl`	Neural Operator: Learning Maps Between Function Spaces. CoRR Nikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
2021	J	`jnl`	Physics-Informed Neural Operator for Learning Partial Differential Equations. CoRR Zongyi Li, Hongkai Zheng, Nikola B. Kovachki, David Jin, Haoxuan Chen, Burigede Liu, Kamyar Azizzadenesheli, Anima Anandkumar
2020	J	`jnl`	Fourier Neural Operator for Parametric Partial Differential Equations. CoRR Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
2020	A*	`conf`	Multipole Graph Neural Operator for Parametric Partial Differential Equations. NeurIPS Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Andrew M. Stuart, Kaushik Bhattacharya, Anima Anandkumar
2020	J	`jnl`	Multipole Graph Neural Operator for Parametric Partial Differential Equations. CoRR Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
2020	J	`jnl`	Neural Operator: Graph Kernel Network for Partial Differential Equations. CoRR Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar