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Loss Terms and Operator Forms of Koopman Autoencoders (2412.04578v1)
Published 5 Dec 2024 in cs.LG and physics.comp-ph
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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