7 citations · 36 across the 17 of their papers we have counts for
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cs.LG2024
MBExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings
Ashkan Golgoon, Ryan Franks, Khashayar Filom +1
In many industrial applications, it is common that the graph embeddings generated from training GNNs are used in an ensemble model where the embeddings are combined with other tabu…
cs.LG2024★ 7 cited
Mechanistic interpretability of large language models with applications to the financial services industry
Ashkan Golgoon, Khashayar Filom, Arjun Ravi Kannan
Large Language Models such as GPTs (Generative Pre-trained Transformers) exhibit remarkable capabilities across a broad spectrum of applications. Nevertheless, due to their intrins…