Alessandro Achille

Co-author, with Matteo Rovere and Stefano Soatto, of the paper that established critical periods in deep networks (2019) via "Information Plasticity" — a Fisher-Information-of-the-weights account of a rise-then-fall training dynamic that reproduces animal critical-period timing without any biological machinery. Recurring figure across this vault's critical-periods cluster: his paper's animal-only validation scope, its explicit refusal to claim DNNs model biology, and its dissociation from Tishby's Information-Bottleneck compression signal are each their own claim-note. Co-developed the related Information Plasticity / invariance framework with Soatto (Achille & Soatto 2018, JMLR), cited as the (indirect) bridge between his FIM account and Shannon-information accounts of the same phenomenon.

References

• claim-critical-periods-arise-from-information-plasticity-not-biology · claim-founding-dnn-critical-period-paper-validated-on-animal-data-only · claim-achille-soatto-disclaim-dnn-as-valid-model-of-biology · claim-critical-periods-fim-signal-does-not-correlate-with-ib-compression-signal
• entity-stefano-soatto · entity-information-plasticity · entity-information-bottleneck