Jaewoong Choi
13 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (26) 🌍 Conference Polyglot · Silver 👑 Triple Crown 🏆 Grand Slam
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Keyword Collector
(54)
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Prolific Year · Productive
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Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(12)
Deep Learning
(11)
Optimization & Theory
(9)
Models
(8)
Core Methods
(5)
Learning Types · Deep Learning
(5)
Computer Vision
(4)
Mathematics & Optimization
(3)
Generation
(3)
Learning Types · Machine Learning
(3)
Optimization
(3)
Architectures
(2)
Artificial Intelligence
(1)
Analysis
(1)
Application Areas
(1)
Keywords
generative model
(6)
unbalanced optimal transport
(4)
latent space
(3)
disentangled representation
(3)
generative adversarial network
(3)
optimal transport
(3)
image-to-image translation
(2)
diffusion model
(2)
representation learning
(2)
image generation
(2)
neural network
(2)
probability distribution
(1)
distribution matching
(1)
robust estimation
(1)
class imbalance
(1)
style transfer
(1)
generative modeling
(1)
feature disentanglement
(1)
semantic representation
(1)
riemannian geometry
(1)
Papers
APT: Adaptive Personalized Training for Diffusion Models with Limited Data
CVPR 2025
Improving Neural Optimal Transport via Displacement Interpolation
ICLR 2025
Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan
ICML 2025
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
ICLR 2025
Unpaired Point Cloud Completion via Unbalanced Optimal Transport
ICML 2025
Analyzing and Improving Optimal-Transport-based Adversarial Networks
ICLR 2024
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
ICML 2024
Finding the Global Semantic Representation in GAN through Fréchet Mean
ICLR 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
NeurIPS 2023
MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action
ICML 2023
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry
NeurIPS 2023
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs
ICLR 2022
Style-Guided and Disentangled Representation for Robust Image-to-Image Translation
AAAI 2022