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On the Relation Between Autoencoders and Non-negative Matrix Factorization, and Their Application for Mutational Signature Extraction
May 14, 2024, 4:43 a.m. | Ida Egendal, Rasmus Froberg Br{\o}ndum, Marta Pelizzola, Asger Hobolth, Martin B{\o}gsted
cs.LG updates on arXiv.org arxiv.org
Abstract: The aim of this study is to provide a foundation to understand the relationship between non-negative matrix factorization (NMF) and non-negative autoencoders enabling proper interpretation and understanding of autoencoder-based alternatives to NMF. Since its introduction, NMF has been a popular tool for extracting interpretable, low-dimensional representations of high-dimensional data. However, recently, several studies have proposed to replace NMF with autoencoders. This increasing popularity of autoencoders warrants an investigation on whether this replacement is in general …
abstract aim application arxiv autoencoder autoencoders cs.lg enabling extraction factorization foundation interpretation introduction matrix negative relationship stat.ap study type understanding
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