79 citations · 154 across the 5 of their papers we have counts for
Showing cs.NEShow all
3 papers · 1 filter
cs.NE2017★ 11 cited
Temporally Efficient Deep Learning with Spikes
Peter O'Connor, Efstratios Gavves, Max Welling
The vast majority of natural sensory data is temporally redundant. Video frames or audio samples which are sampled at nearby points in time tend to have similar values. Typically,…
cs.NE2016★ 11 cited
Sigma Delta Quantized Networks
Peter O'Connor, Max Welling
Deep neural networks can be obscenely wasteful. When processing video, a convolutional network expends a fixed amount of computation for each frame with no regard to the similarity…
cs.NE2016★ 52 cited
Deep Spiking Networks
Peter O'Connor, Max Welling
We introduce an algorithm to do backpropagation on a spiking network. Our network is "spiking" in the sense that our neurons accumulate their activation into a potential over time,…