53 citations · 149 across the 23 of their papers we have counts for
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cs.LG2020★ 2 cited
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation
Jungeun Kim, Kookjin Lee, Dongeun Lee +2
We present a method for learning dynamics of complex physical processes described by time-dependent nonlinear partial differential equations (PDEs). Our particular interest lies in…
physics.comp-ph2020★ 53 cited
Parameterized Neural Ordinary Differential Equations: Applications to Computational Physics Problems
Kookjin Lee, Eric J. Parish
This work proposes an extension of neural ordinary differential equations (NODEs) by introducing an additional set of ODE input parameters to NODEs. This extension allows NODEs to…