3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.LG2019★ 3 cited
Tangent Space Separability in Feedforward Neural Networks
Bálint Daróczy, Rita Aleksziev, András Benczúr
Hierarchical neural networks are exponentially more efficient than their corresponding "shallow" counterpart with the same expressive power, but involve huge number of parameters a…
cs.LG2018
Expressive power of outer product manifolds on feed-forward neural networks
Bálint Daróczy, Rita Aleksziev, András Benczúr
Hierarchical neural networks are exponentially more efficient than their corresponding "shallow" counterpart with the same expressive power, but involve huge number of parameters a…