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News/Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model
arxiv
PublishedJuly 31, 2026 at 4:00 AM
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Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model

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arXiv:2607.10285v2 Announce Type: replace Abstract: We study how unsupervised autoencoders trained on microscopic spin configurations from the Ising model learn macroscopic, theory-relevant variables underlying the data-generating process. We quantify learning across multiple spatial (coarse-grainin

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