SparseSSM: Efficient Selective Structured State Space Models Can Be Pruned in One-Shot
Published in International Conference on Machine Learning (ICML), 2025
SparseSSM extends the optimal brain surgeon framework to selective state-space architectures. It aggregates time-aware second-order saliency signals and supports unstructured, semi-structured, and structured sparsity without retraining.
