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Found 3 papers, 1 papers with code
Reliability of CKA as a Similarity Measure in Deep Learning
Comparing learned neural representations in neural networks is a challenging but important problem, which has been approached in different ways.
Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance
We propose to compare and organize such datasets of graph signals by using an earth mover's distance (EMD) with a geodesic cost over the underlying graph.
Diffusion Earth Mover's Distance and Distribution Embeddings
Here, Diffusion EMD can derive distances between patients on the manifold of cells at least two orders of magnitude faster than equally accurate methods.
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