Spring-Block Theory of Feature Learning in Deep Neural Networks

Author(s): Cheng Shi, Liming Pan, and Ivan Dokmanić A spring–block phenomenological model with asymmetric friction elucidates the role of nonlinearity and randomness in the theory of feature learning for deep neural networks. [Phys. Rev. Lett. 134, 257301] Published Fri Jun 27, 2025