44 citations · 91 across the 11 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.LG2018★ 5 cited
Interpretable Neuron Structuring with Graph Spectral Regularization
Alexander Tong, David van Dijk, Jay S. Stanley +6
While neural networks are powerful approximators used to classify or embed data into lower dimensional spaces, they are often regarded as black boxes with uninterpretable features.…
q-bio.QM2018★ 5 cited
Out-of-Sample Extrapolation with Neuron Editing
Matthew Amodio, David van Dijk, Ruth Montgomery +2
While neural networks can be trained to map from one specific dataset to another, they usually do not learn a generalized transformation that can extrapolate accurately outside the…