A Rigorous Study of Integrated Gradients Method and Extensions to
Internal Neuron Attributions

A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions

24 February 2022

Daniel Lundstrom

Meisam Razaviyayn

Papers citing "A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions"

10 / 10 papers shown

Title
Surrogate Modeling for Explainable Predictive Time Series Corrections Alfredo Lopez Florian Sobieczky AI4TS 45 0 0 17 Jan 2025
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models Sepehr Kamahi Yadollah Yaghoobzadeh 53 0 0 21 Aug 2024
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector Xianren Zhang Dongwon Lee Suhang Wang VLM FAtt 50 3 0 27 Jul 2024
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 48 3 0 26 Jun 2024
An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease Giorgio Dolci F. Cruciani M. A. Rahaman A. Abrol Jiayu Chen Z. Fu I. Galazzo Gloria Menegaz Vince D. Calhoun 17 1 0 19 Jun 2024
Front-propagation Algorithm: Explainable AI Technique for Extracting Linear Function Approximations from Neural Networks Javier Viana AAML FAtt 26 0 0 25 May 2024
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution Eslam Zaher Maciej Trzaskowski Quan Nguyen Fred Roosta AAML 29 4 0 16 May 2024
Global Counterfactual Directions Bartlomiej Sobieski P. Biecek DiffM 58 5 0 18 Apr 2024
Explainable Learning with Gaussian Processes Kurt Butler Guanchao Feng P. Djuric 39 1 0 11 Mar 2024
Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models Yuheng Chen Pengfei Cao Yubo Chen Yining Wang Shengping Liu Kang Liu Jun Zhao KELM 37 1 0 21 Feb 2024