2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Can Local Representation Alignment RNNs Solve Temporal Tasks?
Nikolay Manchev, Luis C. Garcia-Peraza-Herrera
Recurrent Neural Networks (RNNs) are commonly used for real-time processing, streaming data, and cases where the amount of training samples is limited. Backpropagation Through Time…
cs.NE2022★ 2 cited
On the biological plausibility of orthogonal initialisation for solving gradient instability in deep neural networks
Nikolay Manchev, Michael Spratling
Initialising the synaptic weights of artificial neural networks (ANNs) with orthogonal matrices is known to alleviate vanishing and exploding gradient problems. A major objection a…