Jae Yong Lee
Orcid: 0000-0003-0193-545XAffiliations:
- Korea Institute for Advanced Study, Seoul, Korea
According to our database1,
Jae Yong Lee
authored at least 10 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
Pseudo-Differential Neural Operator: Generalize Fourier Neural operator for Learning Solution Operators of Partial Differential Equations.
Trans. Mach. Learn. Res., 2024
Error analysis for finite element operator learning methods for solving parametric second-order elliptic PDEs.
CoRR, 2024
Learning time-dependent PDE via graph neural networks and deep operator network for robust accuracy on irregular grids.
CoRR, 2024
2023
opPINN: Physics-informed neural network with operator learning to approximate solutions to the Fokker-Planck-Landau equation.
J. Comput. Phys., May, 2023
HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Pseudo-Differential Integral Operator for Learning Solution Operators of Partial Differential Equations.
CoRR, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2020
Trend to equilibrium for the kinetic Fokker-Planck equation via the neural network approach.
J. Comput. Phys., 2020
The model reduction of the Vlasov-Poisson-Fokker-Planck system to the Poisson-Nernst-Planck system via the Deep Neural Network Approach.
CoRR, 2020