Our core insight is that traditional linear time-invariant (LTI) models impose limitations when modeling complex data types, and we aim to address this with selective state space models.
The implementation of selective state space models significantly enhances the efficiency of computations while allowing the models to adapt to various types of data better than LTI counterparts.
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