1 citations · 1 across the 5 of their papers we have counts for
5 papers
Forward Direct Feedback Alignment for Online Gradient Estimates of Spiking Neural Networks
Florian Bacho, Dminique Chu
There is an interest in finding energy efficient alternatives to current state of the art neural network training algorithms. Spiking neural network are a promising approach, becau…
Random Feedback Alignment Algorithms to train Neural Networks: Why do they Align?
Dominique Chu, Florian Bacho
Feedback alignment algorithms are an alternative to backpropagation to train neural networks, whereby some of the partial derivatives that are required to compute the gradient are…
Exploring Tradeoffs in Spiking Neural Networks
Florian Bacho, Dominique Chu
Spiking Neural Networks (SNNs) have emerged as a promising alternative to traditional Deep Neural Networks for low-power computing. However, the effectiveness of SNNs is not solely…
Low-Variance Forward Gradients using Direct Feedback Alignment and Momentum
Florian Bacho, Dominique Chu
Supervised learning in deep neural networks is commonly performed using error backpropagation. However, the sequential propagation of errors during the backward pass limits its sca…
Integrate-and-Fire Neurons for Low-Powered Pattern Recognition
Florian Bacho, Dominique Chu
Embedded systems acquire information about the real world from sensors and process it to make decisions and/or for transmission. In some situations, the relationship between the da…