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Dec 10, 2021 · Artificial Intelligence

Understanding Variational Autoencoders: From Dimensionality Reduction to Generative Modeling

This article explains the principles of variational autoencoders, starting with dimensionality reduction techniques such as PCA and standard autoencoders, highlighting their limitations for data generation, and then detailing VAE's regularized latent space, variational inference, re‑parameterization, and loss formulation.