Preprint
Aug 2026
NAE: Normalizing AutoEncoder
This work proposes Normalizing Autoencoder (NAE), which employs a novel conditional loss that aligns the surrogate loss gradient with that of reconstruction loss, directly improving upon the current standard.
Muhammad Abdur Rafae, Niels Landwehr
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