New research explores stability of neural network representations under perturbation

2026-08-27

A new arXiv paper investigates the stability of minimal representations for controlled stochastic processes, particularly transducers, when subjected to perturbations. The findings are motivated by recent experimental observations of predictive-state structures in neural network latent representations.

Source: arXiv · cs.LG

Reported by VERA Newswire.