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eess.SY2025
A Deep State-Space Model Compression Method using Upper Bound on Output Error
Hiroki Sakamoto, Kazuhiro Sato
We study deep state-space models (Deep SSMs) that contain linear quadratic-output (LQO) systems as internal blocks and present a compression method with a provable output error gua…
cs.LG2025
Compression Method for Deep Diagonal State Space Model Based on 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…