Loss Terms and Operator Forms of Koopman Autoencoders

Dustin Enyeart; Guang Lin

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arXiv · 2412.04578

Loss Terms and Operator Forms of Koopman Autoencoders

Dustin Enyeart·Guang Lin

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Abstract

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.

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Dustin Enyeart, Guang Lin. 2024-12-05. Loss Terms and Operator Forms of Koopman Autoencoders. https://arxiv.org/abs/2412.04578

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