Develops multi-scale and alternating-diffusion fused variants of CKA and distance correlation via Markov matrices for neural representation comparison, reporting state-of-the-art results on ReSi and OOD benchmarks.
Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
From Layers to Networks: Comparing Neural Representations via Diffusion Geometry
Develops multi-scale and alternating-diffusion fused variants of CKA and distance correlation via Markov matrices for neural representation comparison, reporting state-of-the-art results on ReSi and OOD benchmarks.