10 citations · 15 across the 3 of their papers we have counts for
4 papers
Reliability of CKA as a Similarity Measure in Deep Learning
MohammadReza Davari, Stefan Horoi, Amine Natik +3
Comparing learned neural representations in neural networks is a challenging but important problem, which has been approached in different ways. The Centered Kernel Alignment (CKA)…
Consistency of Spectral Seriation
Amine Natik, Aaron Smith
Consider a random graph of size constructed according to a \textit{graphon} as follows. First embed vertices $V = \{v_1, v_2, \ldots…
Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance
Alexander Tong, Guillaume Huguet, Dennis Shung +5
In modern relational machine learning it is common to encounter large graphs that arise via interactions or similarities between observations in many domains. Further, in many case…
Diffusion Earth Mover's Distance and Distribution Embeddings
Alexander Tong, Guillaume Huguet, Amine Natik +5
We propose a new fast method of measuring distances between large numbers of related high dimensional datasets called the Diffusion Earth Mover's Distance (EMD). We model the datas…