고등과학원 AI 기초과학센터 AI Research Fellow 2022.03-2025.02
학술지 논문
(2025)
Analyzing the latent space of GAN through local dimension estimation for disentanglement evaluation.
PATTERN RECOGNITION.
157,
1
(2023)
Disentangling the correlated continuous and discrete generative factors of data.
PATTERN RECOGNITION.
133,
1
수상/공훈
세종과학펠로우십, 한국연구재단, 2024-2029,
고등과학원 학술상, 2023.
NeurIPS Travel Award, 2023.
Samsung AI Forum – Poster 3rd Prize, 2022.
National Excellence Scholarship (Natural Sciences and Engineering), Korea Student Aid Foundation, 2011-2015.
학술회의논문
(2026)
Efficient Generative Modeling beyond Memoryless Diffusion via Adjoint Schrödinger Bridge Matching.
International Conference on Machine Learning.
대한민국
(2026)
UOTIP: Unbalanced Optimal Transport Map for Unpaired Inverse Problems.
International Conference on Machine Learning.
대한민국
(2025)
Unpaired Point Cloud Completion via Unbalanced Optimal Transport.
International Conference on Machine Learning.
캐나다
(2025)
Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan.
International Conference on Machine Learning.
캐나다
(2025)
Improving Neural Optimal Transport via Displacement Interpolation.
International Conference on Learning Representations.
싱가포르
(2025)
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport.
International Conference on Learning Representations.
싱가포르
(2024)
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport.
International Conference on Machine Learning.
오스트리아
(2024)
Analyzing and Improving Optimal-Transport-based Adversarial Networks.
International Conference on Learning Representations.
오스트리아
(2023)
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry.
Conference on Neural Information Processing Systems.
미국
(2023)
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport.
Conference on Neural Information Processing Systems.
미국
(2023)
MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action.
International Conference on Machine Learning.
미국
(2023)
Finding the Global Semantic Representation in GAN through Fréchet Mean.
International Conference on Learning Representations.
르완다
(2022)
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs.
International Conference on Learning Representations.
대한민국
발전기금
