David Vigouroux
7 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) ❓ The Questioner
🔥
Unstoppable
(5)
Conferences
CVPR (2)
NIPS (2)
ICLR (1)
ICML (1)
WACV (1)
Top co-authors
Keywords
image classification
(1)
concept-based explanation
(1)
feature importance
(1)
neural network interpretability
(1)
feature attribution
(1)
model interpretability
(1)
reproducing kernel hilbert space
(1)
algorithmic stability
(1)
hilbert-schmidt independence criterion
(1)
sensitivity analysis
(1)
deep neural network
(1)
concept extraction
(1)
attribution method
(1)
explanation quality
(1)
explainability method
(1)
importance map
(1)
black-box explanation
(1)
1-lipschitz network
(1)
perturbation mask
(1)
neural network explainability
(1)
Papers
Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
ICML 2025
DP-SGD Without Clipping: The Lipschitz Neural Network Way
ICLR 2024
Don't Lie to Me! Robust and Efficient Explainability With Verified Perturbation Analysis
CVPR 2023
CRAFT: Concept Recursive Activation FacTorization for Explainability
CVPR 2023
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure
NIPS 2022
How Good Is Your Explanation? Algorithmic Stability Measures To Assess the Quality of Explanations for Deep Neural Networks
WACV 2022
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
NIPS 2021