Victor Boutin
9 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(13)
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The Questioner
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Trend Setter
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Research topics
Deep Learning
(8)
Artificial Intelligence
(6)
Core AI
(5)
Machine Learning
(4)
Architectures
(3)
Core Methods
(3)
Models
(3)
Learning Types · Deep Learning
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Optimization
(1)
Optimization & Theory
(1)
Keywords
neural network
(2)
one-shot learning
(2)
image generation
(2)
representation learning
(1)
computational efficiency
(1)
concept-based explanation
(1)
stochastic gradient descent
(1)
explainable ai
(1)
neural network interpretability
(1)
generative art
(1)
convex hull
(1)
identifiability
(1)
stability
(1)
generative model
(1)
diffusion model
(1)
prototype learning
(1)
implicit regularization
(1)
concept extraction
(1)
feature visualization
(1)
contrastive learning
(1)
Papers
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
ICML 2025
ConSim: Measuring Concept-Based Explanations’ Effectiveness with Automated Simulatability
ACL 2025
Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
ICML 2025
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
NeurIPS 2024
Saliency strikes back: How filtering out high frequencies improves white-box explanations
ICML 2024
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
NeurIPS 2023
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
NeurIPS 2023
Diversity vs. Recognizability: Human-like generalization in one-shot generative models
NeurIPS 2022