51 citations · 81 across the 5 of their papers we have counts for
1 paper · 1 filter
Inbar Seroussi, Alexander A. Alemi, Moritz Helias +1
State-of-the-art neural networks require extreme computational power to train. It is therefore natural to wonder whether they are optimally trained. Here we apply a recent advancem…