HM-VAEs: a Deep Generative Model for Real-valued Data with Heterogeneous Marginals
In this paper, we focused on improving VAEs for real-valued data that has heterogeneous marginal distributions. We propose the heterogeneous-marginal VAE (HM-VAE), a method that explicitly decomposes intra-variable uncertainties and inter-variable uncertainties. We experimentally observe that the HM-VAEs can generate realistic data with nearly indistinguishable marginals when compared with real data.
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