arxiv
PublishedJuly 14, 2026 at 4:00 AM
Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model
Publisher summary· verbatim
arXiv:2607.10285v1 Announce Type: new 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. Without embedding domain knowledge, we mimic a typical discovery
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Originally published on arxiv ↗