Sajal Chakroborty

Neural Tangent Kernels Under Stochastic Data Augmentation

The learning dynamics of modern neural networks remain an open problem in deep learning. The Neural Tangent Kernel (NTK) offers an elegant description of training dynamics in the infinite‑width limit, yet its classical formulation assumes a static data set. Modern model training practice departs fro