Victor Boutin
9 papers · 2022–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) 🗺️ Taxonomy Completionist (13)
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The Questioner
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Trend Setter
Conferences
ICML (4)
NIPS (4)
ACL (1)
Top co-authors
Keywords
image generation
(2)
neural network
(2)
one-shot learning
(2)
concept-based explanation
(1)
prototype learning
(1)
explainable ai
(1)
neural network interpretability
(1)
generative art
(1)
generative model
(1)
diffusion model
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concept extraction
(1)
feature visualization
(1)
latent diffusion model
(1)
visual feature
(1)
attribution method
(1)
explanation evaluation
(1)
automated simulatability
(1)
explanation quality
(1)
concept space
(1)
phase spectrum
(1)
Papers
Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
ICML 2025
ConSim: Measuring Concept-Based Explanations’ Effectiveness with Automated Simulatability
ACL 2025
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
ICML 2025
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
NIPS 2024
Saliency strikes back: How filtering out high frequencies improves white-box explanations
ICML 2024
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
ICML 2023
Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization
NIPS 2023
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
NIPS 2023
Diversity vs. Recognizability: Human-like generalization in one-shot generative models
NIPS 2022