Model order reduction is a pivotal methodology in the analysis and control of dynamic systems, wherein high-order models are simplified into reduced order models (ROMs) that capture the fundamental ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
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