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Compression Method for Deep Diagonal State Space Model Based on $H^2$ Optimal Reduction
v1v2 (latest)

Compression Method for Deep Diagonal State Space Model Based on H2H^2H2 Optimal Reduction

IEEE Control Systems Letters (L-CSS), 2025
14 July 2025
Hiroki Sakamoto
Kazuhiro Sato
ArXiv (abs)PDFHTML

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

2 / 2 papers shown
A Deep State-Space Model Compression Method using Upper Bound on Output Error
A Deep State-Space Model Compression Method using Upper Bound on Output Error
Hiroki Sakamoto
Kazuhiro Sato
80
0
0
16 Oct 2025
The Curious Case of In-Training Compression of State Space Models
The Curious Case of In-Training Compression of State Space Models
Makram Chahine
Philipp Nazari
Daniela Rus
T. Konstantin Rusch
170
0
0
03 Oct 2025
1
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