Selective SSM

Appears in 1 paper

An SSM where the input projection (B), output projection (C), and step size (Δ) are functions of the input u_t, not fixed constants.

As used in Paper 21 — Mamba: Linear-Time Sequence Modeling with Selective State Spaces →

An SSM where the input projection (B), output projection (C), and step size (Δ) are functions of the input u_t, not fixed constants. This allows Mamba to dynamically adjust what information to remember and forget based on content.