Paper ID: 2412.04578

Loss Terms and Operator Forms of Koopman Autoencoders

Dustin Enyeart, Guang Lin

Koopman autoencoders are a prevalent architecture in operator learning. But, the loss functions and the form of the operator vary significantly in the literature. This paper presents a fair and systemic study of these options. Furthermore, it introduces novel loss terms.

Submitted: Dec 5, 2024