Computing Linear Restrictions of Neural Networks

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Computing Linear Restrictions of Neural Networks

17 August 2019

Matthew Sotoudeh

Aditya V. Thakur

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Papers citing "Computing Linear Restrictions of Neural Networks"

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Title
Riemann Sum Optimization for Accurate Integrated Gradients Computation Swadesh Swain Shree Singhi 90 0 0 05 Oct 2024
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation Thomas Fel Victor Boutin Mazda Moayeri Rémi Cadène Louis Bethune Léo Andéol Mathieu Chalvidal Thomas Serre FAtt 102 64 0 11 Jun 2023
Verifying Attention Robustness of Deep Neural Networks against Semantic Perturbations S. Munakata Caterina Urban Haruki Yokoyama Koji Yamamoto Kazuki Munakata AAML 48 4 0 13 Jul 2022
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis Thomas Fel Rémi Cadène Mathieu Chalvidal Matthieu Cord David Vigouroux Thomas Serre MLAU FAtt AAML 173 65 0 07 Nov 2021
SyReNN: A Tool for Analyzing Deep Neural Networks Matthew Sotoudeh Aditya V. Thakur AAML GNN 63 16 0 09 Jan 2021
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks Thomas Fel David Vigouroux Rémi Cadène Thomas Serre XAI FAtt 75 31 0 07 Sep 2020
Robustness Certification of Generative Models M. Mirman Timon Gehr Martin Vechev AAML 70 21 0 30 Apr 2020