AdditiveAutoencoder

Version 1.0 (60.7 MB) by Tommi Kärkkäinen
This repository contains the reference implementation of the additive autoencoder. The technique is derived and experiments summarized in Ma
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Updated 13 Oct 2022
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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.

Cite As

Tommi Kärkkäinen (2024). AdditiveAutoencoder (https://github.com/TommiKark/AdditiveAutoencoder/releases/tag/v1.0), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2021b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Subroutines

Subroutines/Adam

Subroutines/Lbfgs

Version Published Release Notes
1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.