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In Mamba, you basically learn a time varying A and B. The parameterization is a bit wonky here, because of historical reasons, but it goes something like: A_t is exp (-\delta (x_t) * exp (A)), B_t = \delta (x_t) B x_t, where \delta (x_t) = softplus ( W_\delta x_t). Also note that in Mamba, they also constrain A to be diagonal and W_\delta to be ...
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