Loic Simon
5 papers · 2019–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(12)
🏆
Keyword Champion
(2)
Top co-authors
Research topics
Deep Learning
(4)
Machine Learning
(4)
Models
(4)
Artificial Intelligence
(3)
Optimization & Theory · Machine Learning
(3)
Bayesian & Probabilistic
(2)
Core AI
(2)
Computer Vision
(1)
Analysis
(1)
Core Methods
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
precision-recall curve
(2)
generative model
(2)
counterfactual explanation
(2)
hypothesis testing
(1)
renyi divergence
(1)
roc curve
(1)
adversarial attack
(1)
diffusion model
(1)
latent space
(1)
generative adversarial network
(1)
text-to-image model
(1)
stable diffusion
(1)
generative model evaluation
(1)
overfitting detection
(1)
diffusion probabilistic model
(1)
mode collapse
(1)
likelihood ratio classifier
(1)
semantic perturbation
(1)
latent recovery
(1)
image generation
(1)
Papers
Text-to-Image Models for Counterfactual Explanations: A Black-Box Approach
WACV 2024
Adversarial Counterfactual Visual Explanations
CVPR 2023
On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity
JMLR 2023
Detecting Overfitting of Deep Generative Networks via Latent Recovery
CVPR 2019
Revisiting precision recall definition for generative modeling
ICML 2019