Compression Method for Deep Diagonal State Space Model Based on $H^2$ Optimal Reduction

Hiroki Sakamoto, Kazuhiro Sato

Deep learning models incorporating linear SSMs have gained attention for capturing long-range dependencies in sequential data. However, their large parameter sizes pose challenges…