Computer Science > Machine Learning
[Submitted on 9 Dec 2024]
Title:Some Best Practices in Operator Learning
View PDF HTML (experimental)Abstract:Hyperparameters searches are computationally expensive. This paper studies some general choices of hyperparameters and training methods specifically for operator learning. It considers the architectures DeepONets, Fourier neural operators and Koopman autoencoders for several differential equations to find robust trends. Some options considered are activation functions, dropout and stochastic weight averaging.
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