most citedA Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation

6 citations · 6 across the 1 of their papers we have counts for

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cs.LG2019★ 6 cited

A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation

Steven Squires, Adam Prügel Bennett, Mahesan Niranjan

We introduce and demonstrate the variational autoencoder (VAE) for probabilistic non-negative matrix factorisation (PAE-NMF). We design a network which can perform non-negative mat…