Kookjin Lee

Model reduction for nonlinear dynamical systems using deep convolutional autoencoders.

Kookjin Lee · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2023 · 703 citations · Full text

DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation

Jung-Eun Kim, Kookjin Lee, Dong‐Eun Lee et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 83 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +17

Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders

Kookjin Lee, Kevin Carlberg · Journal of Computational Physics · 2019 · 47 citations · Full text

Engineering, Machine Learning, Manifold Learning +7

Parameterized neural ordinary differential equations: applications to computational physics problems

Kookjin Lee, Eric Parish · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · 2021 · 46 citations · Full text

Numerical Analysis, Engineering, Machine Learning +19

A group-based communication scheme based on the location information of MTC devices in cellular networks

Kookjin Lee, Jaesheung Shin, Yongwoo Cho et al. · 2012 · 29 citations

Engineering, Network Analysis, Long Term Evolution +18