Learning Subgrid-scale Models with Neural Ordinary Differential Equations.

Shinhoo Kang Emil M. Constantinescu

Published in: CoRR (2022)

Keyphrases

ordinary differential equations
learning algorithm
prior knowledge
differential equations
neural network
image processing
gene regulatory networks
data sets
artificial intelligence
bayesian networks
statistical models
dynamic systems
numerical solution
mathematical modeling