4 citations · 10 across the 5 of their papers we have counts for
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cs.LG2017
Parametrizing filters of a CNN with a GAN
Yannic Kilcher, Gary Becigneul, Thomas Hofmann
It is commonly agreed that the use of relevant invariances as a good statistical bias is important in machine-learning. However, most approaches that explicitly incorporate invaria…
cs.LG2017★ 2 cited
On the effect of pooling on the geometry of representations
Gary Bécigneul
In machine learning and neuroscience, certain computational structures and algorithms are known to yield disentangled representations without us understanding why, the most strikin…