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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
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learning algorithm
ordinary differential equations
mathematical modeling
neural network
machine learning
differential equations
feature selection
reinforcement learning
image analysis
dynamic systems
phase space