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20162025
most citedThe Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version

1 citations · 1 across the 8 of their papers we have counts for

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stat.ML2023

Fat Shattering, Joint Measurability, and PAC Learnability of POVM Hypothesis Classes

Abram Magner, Arun Padakandla

We characterize learnability for quantum measurement classes by establishing matching necessary and sufficient conditions for their PAC learnability, along with corresponding sampl…

cs.LG2023

Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures

Sepideh Neshatfar, Abram Magner, Salimeh Yasaei Sekeh

Graph summarization is the problem of producing smaller graph representations of an input graph dataset, in such a way that the smaller compressed graphs capture relevant structura…