Article

Variational decomposition autoencoding improves disentanglement of latent representations

2026-06-22

Abstract excerpt

<title>Abstract</title> <p>Understanding the structure of complex, nonstationary, high-dimensional time-evolving signals is a central challenge in scientific data analysis. In many domains, such as speech and biomedical signal processing, the ability to learn disentangled and interpretable representations is critical for uncovering latent generative mechanisms. Traditional approaches to unsupervised representatio...

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Literature Corpus work: c10237bb-6c85-546c-8482-2bc163fdb7e3
DOI: 10.21203/rs.3.rs-8750411/v1

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