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

Autoencoders and VAEs sit beneath representation learning and generative modeling, including the VAE inside latent diffusion. What matters is the difference between a plain autoencoder and a variational one, and why sampling blocks backprop without the reparameterization trick.

Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.

Autoencoders and VAEs sit beneath representation learning and generative modeling, including the VAE inside latent diffusion. What matters is the difference between a plain autoencoder and a variational one, and why sampling blocks backprop without the reparameterization trick.

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