Implicit Hypothesis Testing and Divergence Preservation in Neural Network Representations
arXiv:2601.20477v3 Announce Type: replace
Abstract: We study the training dynamics of neural classifiers through the lens of binary hypothesis testing. We re-formalize classification as a collection of binary tests between class-conditional distributi…