Predicting the outputs of finite networks trained with noisy gradients. - Gadi Naveh; Oded Ben-David; Haim Sompolinsky; Zohar Ringel (CoRR, 2020)

A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs. - Gadi Naveh; Zohar Ringel (NeurIPS, 2021)