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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…
cs.LG2024
Model Compression Method for S4 with Diagonal State Space Layers using Balanced Truncation
Haruka Ezoe, Kazuhiro Sato
To implement deep learning models on edge devices, model compression methods have been widely recognized as useful. However, it remains unclear which model compression methods are…