The Manifold Hypothesis for Gradient-Based Explanations

The Manifold Hypothesis for Gradient-Based Explanations

15 June 2022

Sebastian Bordt

Uddeshya Upadhyay

Papers citing "The Manifold Hypothesis for Gradient-Based Explanations"

11 / 11 papers shown

Title
Towards Spatially-Aware and Optimally Faithful Concept-Based Explanations Shubham Kumar Dwip Dalal Narendra Ahuja 21 0 0 15 Apr 2025
Tangentially Aligned Integrated Gradients for User-Friendly Explanations Lachlan Simpson Federico Costanza Kyle Millar A. Cheng Cheng-Chew Lim Hong-Gunn Chew FAtt 78 2 0 11 Mar 2025
Riemannian Integrated Gradients: A Geometric View of Explainable AI Federico Costanza Lachlan Simpson 37 0 0 02 Mar 2025
Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment Yong-Hyun Park Junghoon Seo Bomseok Park Seongsu Lee Junghyo Jo AAML 37 0 0 17 Jul 2024
Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models Zhenzhong Wang Zehui Lin Wanyu Lin Ming Yang Minggang Zeng Kay Chen Tan 28 3 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
Post-hoc and manifold explanations analysis of facial expression data based on deep learning Yang Xiao 29 0 0 29 Apr 2024
Manifold Preserving Guided Diffusion Yutong He Naoki Murata Chieh-Hsin Lai Yuhta Takida Toshimitsu Uesaka ... Wei-Hsiang Liao Yuki Mitsufuji J. Zico Kolter Ruslan Salakhutdinov Stefano Ermon DiffM 116 64 0 28 Nov 2023
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness Suraj Srinivas Sebastian Bordt Hima Lakkaraju AAML 30 11 0 30 May 2023
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan Ö. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 122 297 0 17 Oct 2019
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 191 273 0 03 Dec 2018