Adversarial Autoencoders in Operator Learning
DeepONets and Koopman autoencoders are two prevalent neural operator architectures. These architectures are autoencoders. An adversarial addition to an autoencoder have improved performance of autoencoders in various areas of machine learning. In this paper, the use an adversarial addition for these two neural operator architectures is studied.
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Operator learningSimilar Papers 제목 키워드 기반
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