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Computing Linear Restrictions of Neural Networks
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Computing Linear Restrictions of Neural Networks

Matthew Sotoudeh
Aditya V. Thakur
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Papers citing "Computing Linear Restrictions of Neural Networks"

7 / 7 papers shown
Title
Riemann Sum Optimization for Accurate Integrated Gradients Computation
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
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
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
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
MLAUFAttAAML
173
65
0
07 Nov 2021
SyReNN: A Tool for Analyzing Deep Neural Networks
SyReNN: A Tool for Analyzing Deep Neural Networks
Matthew Sotoudeh
Aditya V. Thakur
AAMLGNN
63
16
0
09 Jan 2021
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks
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
XAIFAtt
75
31
0
07 Sep 2020
Robustness Certification of Generative Models
Robustness Certification of Generative Models
M. Mirman
Timon Gehr
Martin Vechev
AAML
70
21
0
30 Apr 2020