David Smerkous

Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA

Particle-based Bayesian deep learning often requires a similarity metric to compare two networks. However, naive similarity metrics lack permutation invariance and are inappropriate for comparing networks. Centered Kernel Alignment (CKA) on feature kernels has been proposed to compare deep networks…