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Training-Free Bottleneck Width Planning for Convolutional Autoencoders

arXiv:2609.30755v1 Announce Type: new Abstract: Multiscale Spectral Rate-Distortion (MS-SRD) estimates the bottleneck channels required at user-supplied spatial cuts from training images and a normalized mean-squared error (NMSE) bound, without fitting a neural network. Its covariance-tail rule is…

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  1. 2026-09-28 04:00 · arXiv cs.CV
    Training-Free Bottleneck Width Planning for Convolutional Autoencoders

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