3 citations · 7 across the 5 of their papers we have counts for
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cs.LG2020★ 1 cited
Advantages of biologically-inspired adaptive neural activation in RNNs during learning
Victor Geadah, Giancarlo Kerg, Stefan Horoi +2
Dynamic adaptation in single-neuron response plays a fundamental role in neural coding in biological neural networks. Yet, most neural activation functions used in artificial netwo…
cs.LG2020★ 3 cited
Internal representation dynamics and geometry in recurrent neural networks
Stefan Horoi, Guillaume Lajoie, Guy Wolf
The efficiency of recurrent neural networks (RNNs) in dealing with sequential data has long been established. However, unlike deep, and convolution networks where we can attribute…