David Vigouroux
7 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze
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The Questioner
Venues
Top co-authors
Research topics
Artificial Intelligence
(4)
Deep Learning
(4)
Core AI · Artificial Intelligence
(4)
Machine Learning
(3)
Optimization & Theory
(3)
Application Areas
(2)
Architectures
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Core AI · Computer Vision
(1)
Learning Types
(1)
Optimization
(1)
Techniques
(1)
Keywords
differential privacy
(1)
image classification
(1)
stochastic gradient descent
(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)
implicit regularization
(1)
gradient clipping
(1)
concept extraction
(1)
private training
(1)
attribution method
(1)
explanation quality
(1)
sensitivity bound
(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
CRAFT: Concept Recursive Activation FacTorization for Explainability
CVPR 2023
Don't Lie to Me! Robust and Efficient Explainability With Verified Perturbation Analysis
CVPR 2023
How Good Is Your Explanation? Algorithmic Stability Measures To Assess the Quality of Explanations for Deep Neural Networks
WACV 2022
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure
NeurIPS 2022
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
NeurIPS 2021