An autoencoder is a type of unsupervised neural network that learns to represent input data in a compressed latent space. This compressed representation captures the essential features of the data ...
The Poisson Variational Autoencoder (PVAE) is a type of variational autoencoder specifically designed for modeling count data, such as word frequencies or event counts. It addresses the limitations of ...
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