The concept of autoencoder was originally proposed by LeCun in 1987, early works on autoencoder were used for dimensionality reduction or feature learning. Recently, with the popularity of deep ...

A Permutation-Invariant Set Autoencoder. Contribute to Acciorocketships/sae development by creating an account on GitHub.

Autoencoder-derived representations, though informative, often fail to separate genotype and environment influences, leading to ‘entangled’ latent spaces where distinct plant attributes, such as ‘leaf ...