20 citations · 23 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Four Axiomatic Characterizations of the Integrated Gradients Attribution Method
Daniel Lundstrom, Meisam Razaviyayn
Deep neural networks have produced significant progress among machine learning models in terms of accuracy and functionality, but their inner workings are still largely unknown. At…
cs.LG2023★ 1 cited
Distributing Synergy Functions: Unifying Game-Theoretic Interaction Methods for Machine-Learning Explainability
Daniel Lundstrom, Meisam Razaviyayn
Deep learning has revolutionized many areas of machine learning, from computer vision to natural language processing, but these high-performance models are generally "black box." E…
cs.LG2022★ 20 cited
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
Daniel Lundstrom, Tianjian Huang, Meisam Razaviyayn
As deep learning (DL) efficacy grows, concerns for poor model explainability grow also. Attribution methods address the issue of explainability by quantifying the importance of an…