Marco Deano

S4oP: Operator-level Pruning of Structured State Space Models for Resource-Constrained Devices

This work proposes a novel incremental, operator-level pruning approach for S4- and S4D-based models that significantly reduces inference cost while preserving predictive performance, and implements this approach within a unified training and evaluation framework that enables systematic exploration of efficiency-accura...