Representational dissimilarity metric spaces for stochastic neural networks

Lyndon R. Duong, Jingyang Zhou, Josue Nassar +3

Quantifying similarity between neural representations -- e.g. hidden layer activation vectors -- is a perennial problem in deep learning and neuroscience research. Existing methods…