2 papers
stat.ML2026
Admissibility of Stein Shrinkage for Batch Normalization in the Presence of Adversarial Attacks
Sofia Ivolgina, P. Thomas Fletcher, Baba C. Vemuri
Batch normalization (BN) is a ubiquitous operation in deep neural networks, primarily used to improve stability and regularization during training. BN centers and scales feature ma…
eess.IV2025
A Steerable Deep Network for Model-Free Diffusion MRI Registration
Gianfranco Cortes, Xiaoda Qu, Baba C. Vemuri
Nonrigid registration is vital to medical image analysis but remains challenging for diffusion MRI (dMRI) due to its high-dimensional, orientation-dependent nature. While classical…