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What are autoencoders and VAEs, and what is the reparameterization trick?

Autoencoders and VAEs underpin representation learning and generative modeling, including the VAE inside latent diffusion. The signal is the gap between a plain autoencoder and a variational one, and why you cannot backprop through sampling without the reparameterization trick.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Autoencoders and VAEs underpin representation learning and generative modeling, including the VAE inside latent diffusion. The signal is the gap between a plain autoencoder and a variational one, and why you cannot backprop through sampling without the reparameterization trick.

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