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.…