Giuseppe Castiglione

A Closer Look at NTK Alignment: Linking Phase Transitions in Deep Image Regression

Deep neural networks trained with gradient descent exhibit varying rates of learning for different patterns. However, the complexity of fitting models to data makes direct elucidation of the dynamics of learned patterns challenging. To circumvent this, many works have opted to characterize phases of…