6 citations · 7 across the 2 of their papers we have counts for
2 papers
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…
cs.LG2019★ 1 cited
Minimum description length as an objective function for non-negative matrix factorization
Steven Squires, Adam Prugel Bennett, Mahesan Niranjan
Non-negative matrix factorization (NMF) is a dimensionality reduction technique which tends to produce a sparse representation of data. Commonly, the error between the actual and r…