2 citations · 2 across the 1 of their papers we have counts for
3 papers
Randomized Self Organizing Map
Nicolas P. Rougier, Georgios Is. Detorakis
We propose a variation of the self organizing map algorithm by considering the random placement of neurons on a two-dimensional manifold, following a blue noise distribution from w…
Inherent Weight Normalization in Stochastic Neural Networks
Georgios Detorakis, Sourav Dutta, Abhishek Khanna +3
Multiplicative stochasticity such as Dropout improves the robustness and generalizability of deep neural networks. Here, we further demonstrate that always-on multiplicative stocha…
Contrastive Hebbian Learning with Random Feedback Weights
Georgios Detorakis, Travis Bartley, Emre Neftci
Neural networks are commonly trained to make predictions through learning algorithms. Contrastive Hebbian learning, which is a powerful rule inspired by gradient backpropagation, i…