C
search
search
reviewers
reviewers
feeds
feeds
assignments
assignments
settings
logout
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations.
Woojin Cho
Seunghyeon Cho
Hyundong Jin
Jinsung Jeon
Kookjin Lee
Sanghyun Hong
Dongeun Lee
Jonghyun Choi
Noseong Park
Published in:
CoRR (2023)
Keyphrases
</>
learning algorithm
ordinary differential equations
mathematical modeling
neural network
machine learning
differential equations
feature selection
reinforcement learning
image analysis
dynamic systems
phase space