Thibaut Issenhuth
6 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
Venues
Top co-authors
Research topics
Keywords
generative adversarial network
(4)
latent space
(2)
score-based diffusion
(2)
importance sampling
(1)
generative model
(1)
variational autoencoder
(1)
gradient flow
(1)
consistency model
(1)
rejection sampling
(1)
mode collapse
(1)
latent space geometry
(1)
velocity field
(1)
sample quality
(1)
geometric measure theory
(1)
neural network
(1)
jacobian norm
(1)
disconnected manifold
(1)
particle model
(1)
discrepancy
(1)
wasserstein distance
(1)
Papers
Improving Consistency Models with Generator-Augmented Flows
ICML 2025
Unifying GANs and Score-Based Diffusion as Generative Particle Models
NeurIPS 2023
Unveiling the Latent Space Geometry of Push-Forward Generative Models
ICML 2023
Latent Reweighting, an Almost Free Improvement for GANs
WACV 2022
Do Not Mask What You Do Not Need to Mask: a Parser-Free Virtual Try-On
ECCV 2020
Learning disconnected manifolds: a no GAN’s land
ICML 2020