AI RESEARCH
GUIDE-VAE: Advancing Data Generation with User Information and Pattern Dictionaries
arXiv CS.LG
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ArXi:2411.03936v2 Announce Type: replace Generative modelling of multi-user datasets has become prominent in science and engineering. Generating a data point for a given user requires employing user information, and conventional generative models, including variational autoencoders (VAEs), often ignore this. This paper