Navigating the Latent Space Dynamics of Neural Models

TL;DR

Neural networks transform high-dimensional data into compact, structured representations, often modeled as elements of a lower dimensional latent space. In this paper, we present an alternative interpretation of neural models as dynamical systems acting on the latent manifold.

Opening excerpt from the authors’ abstract. source