Anmar Karmush

Grounding Functional Similarity by Invariance-Aware Model Stitching

In deep learning, functional similarity evaluation quantifies the extent to which independently trained models learn similar input–output relationships. In model stitching, functional similarity is framed as representation forward compatibility, i.e., whether the representations of two models can be…