23 citations · 25 across the 2 of their papers we have counts for
3 papers
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…
Error-triggered Three-Factor Learning Dynamics for Crossbar Arrays
Melika Payvand, Mohammed Fouda, Fadi Kurdahi +2
Recent breakthroughs suggest that local, approximate gradient descent learning is compatible with Spiking Neural Networks (SNNs). Although SNNs can be scalably implemented using ne…
Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective
M. E. Fouda, F. Kurdahi, A. Eltawil +1
On metrics of density and power efficiency, neuromorphic technologies have the potential to surpass mainstream computing technologies in tasks where real-time functionality, adapta…