Disentangled representations via score-based variational autoencoders

This article likely presents a novel approach to learning disentangled representations using score-based variational autoencoders. The focus is on improving the ability of AI models to understand and generate data by separating underlying factors of variation. The source being ArXiv suggests this is a research paper, likely detailing the methodology, experiments, and results.