CoDE-VAE computes the shared latent code of multiple data views by Bayesian combination of correlated per-view estimates, improving coherence/quality trade-offs and log-likelihood bounds.
MV AE MMV AE mmJSD MoPoE-V AE MVTCAE MMV AE+ CoDE-V AE β 5 0.1 5 10 20 5 5 ρ 0.4 D.4
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Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
CoDE-VAE computes the shared latent code of multiple data views by Bayesian combination of correlated per-view estimates, improving coherence/quality trade-offs and log-likelihood bounds.