Ugo Tanielian
6 papers · 2020–2023 · 5 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
Jump to papers ↓
🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(13)
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Models
(4)
Optimization & Theory
(4)
Core Methods
(3)
Learning Types · Machine Learning
(2)
Artificial Intelligence
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Architectures
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Optimization
(1)
Reasoning
(1)
Techniques
(1)
Keywords
generative adversarial network
(4)
wasserstein gan
(2)
latent space
(2)
optimal transport
(1)
importance sampling
(1)
kullback-leibler divergence
(1)
piecewise linear function
(1)
distributionally robust optimization
(1)
adversarial attack
(1)
variational autoencoder
(1)
relu network
(1)
rejection sampling
(1)
mode collapse
(1)
latent space geometry
(1)
sample quality
(1)
counterfactual risk minimization
(1)
geometric measure theory
(1)
jacobian norm
(1)
disconnected manifold
(1)
robust decision making
(1)
Papers
Unveiling the Latent Space Geometry of Push-Forward Generative Models
ICML 2023
Latent Reweighting, an Almost Free Improvement for GANs
WACV 2022
Approximating Lipschitz continuous functions with GroupSort neural networks
AISTATS 2021
Some Theoretical Insights into Wasserstein GANs
JMLR 2021
Distributionally Robust Counterfactual Risk Minimization
AAAI 2020
Learning disconnected manifolds: a no GAN’s land
ICML 2020