43 citations · 88 across the 9 of their papers we have counts for
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cs.LG2023★ 5 cited
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning
Sebastian Müller, Vanessa Toborek, Katharina Beckh +3
The Rashomon Effect describes the following phenomenon: for a given dataset there may exist many models with equally good performance but with different solution strategies. The Ra…
cs.LG2023
Expectation-Complete Graph Representations with Homomorphisms
Pascal Welke, Maximilian Thiessen, Fabian Jogl +1
We investigate novel random graph embeddings that can be computed in expected polynomial time and that are able to distinguish all non-isomorphic graphs in expectation. Previous gr…