In contrast to standard Autoencoders, Variational Autoencoders (VAEs) map input data to what kind of latent space to allow for generative sampling?

Probabilistic latent space

Unlike standard autoencoders that map inputs to fixed vectors, VAEs map inputs to the parameters of a probability distribution (mean and variance). This ensures the latent space is continuous and structured, allowing for meaningful data generation.