most citedEmergent representations in networks trained with the Forward-Forward algorithm

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cs.LG2026

Understanding and inverse design of implicit bias in stochastic learning: a geometric perspective

Nicola Aladrah, Emanuele Ballarin, Matteo Biagetti +3

Can we design a model such that its stochastic training favours a desired class of solutions without enforcing an explicit penalty? Under suitable conditions, the interplay between…