AdditiveAutoencoder
This repository contains the reference implementation of the additive autoencoder. The technique is derived and experiments summarized in Manuscript. SupplementaryInformation documents all the experiments with the datasets and reference implementations that are provided in the repository.
Install / Use
/learn @TommiKark/AdditiveAutoencoderREADME
AdditiveAutoencoder
This repository contains the reference implementation of an additive autoencoder (separation of bias estimation, linear trend estimation, and nonlinear residual approximation), which has been derived and experimented in the corresponding manuscript also provided here.
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