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20182022
most citedNon-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics

19 citations · 66 across the 7 of their papers we have counts for

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cs.LG2019★ 19 cited

Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics

Giancarlo Kerg, Kyle Goyette, Maximilian Puelma Touzel +4

A recent strategy to circumvent the exploding and vanishing gradient problem in RNNs, and to allow the stable propagation of signals over long time scales, is to constrain recurren…