1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
ResNets Are Deeper Than You Think
Christian H. X. Ali Mehmeti-Göpel, Michael Wand
Residual connections remain ubiquitous in modern neural network architectures nearly a decade after their introduction. Their widespread adoption is often credited to their dramati…
cs.LG2022★ 1 cited
Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think
Christian H. X. Ali Mehmeti-Göpel, Jan Disselhoff
We perform an empirical study of the behaviour of deep networks when fully linearizing some of its feature channels through a sparsity prior on the overall number of nonlinear unit…