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A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation
Probabilistic non-negative matrix factorisation using a variational autoencoder -
Constructing the Matrix Multilayer Perceptron and its Application to the VAE
The dataset used in this paper is a synthetic dataset for learning SPD matrices using the matrix multilayer perceptron (mMLP) model.
