Theoretical Foundations and Applications of Deep Selective State-Space Models
The authors explore the theoretical underpinnings of deep selective state-space models, highlighting their expressive power and efficiency in capturing high-order statistics. They demonstrate how input-controlled transitions enhance model capabilities beyond linear filtering.
