Jae Yong Lee

Orcid: 0000-0003-0193-545X

Affiliations:
  • Korea Institute for Advanced Study, Seoul, Korea


According to our database1, Jae Yong Lee authored at least 7 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Bibliography

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

Solving PDE-Constrained Control Problems Using Operator Learning.
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


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