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(2) We decompose W_{t,u,c} and introduce multi-head W (here h is the corresponding head of c): Moreover we multiply the final output of Time-mix layer by γ(t). The reason for the αβγ factors, is because the context size is smaller when t is small, and this can be compe...
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Meanwhile, these Gaussian approximate estimators can obtain accurate estimates with very low computational cost, especially in the high-dimensional case with additive Gaussian noises. The RMSEs and BCRLBs are obtained over 500 Monte Carlo runs. Figure 1 shows the RMSE versus BCRLB for position and...
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