NegBio-VAE introduces negative binomial latents with dispersion to handle overdispersion in discrete VAE models, yielding better reconstruction, generation, and downstream representations than Poisson VAE baselines.
Spiking generative adversarial networks with a neural network discriminator: Local training, bayesian models, and continual meta-learning
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Negative Binomial Variational Autoencoders for Overdispersed Latent Modeling
NegBio-VAE introduces negative binomial latents with dispersion to handle overdispersion in discrete VAE models, yielding better reconstruction, generation, and downstream representations than Poisson VAE baselines.