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cs.LG2025
Revisiting Data Attribution for Influence Functions
Hongbo Zhu, Angelo Cangelosi
The goal of data attribution is to trace the model's predictions through the learning algorithm and back to its training data. thereby identifying the most influential training sam…
cs.LG2023
LIPEx-Locally Interpretable Probabilistic Explanations-To Look Beyond The True Class
Hongbo Zhu, Angelo Cangelosi, Procheta Sen +1
In this work, we instantiate a novel perturbation-based multi-class explanation framework, LIPEx (Locally Interpretable Probabilistic Explanation). We demonstrate that LIPEx not on…