Diffusion Map Autoencoder

This is an incremental improvement for machine learning researchers working on autoencoders and dimensionality reduction.

The paper tackled the problem of learning closed-form inductive mappings for strong reconstructions by pairing a diffusion-map encoder with linear or RBF Gaussian-Process latent mean decoders, resulting in a method that yields strong reconstructions.