Papers & Preprints

C: Conference, W: Workshop, J: Journal, P: Preprint / * Equal contribution, † Corresponding author

[P3] ISUM: Inverse Problem Solver via Unbalanced Optimal Transport Map

Donggyu Lee*, Taekyung Lee*, Jaewoong Choi†, Myungjoo Kang†

Submitted.

Preliminary version: NeurIPS 2025 Workshop on Structured Probabilistic Inference & Generative Modeling

[P2] Reweighted Flow Matching via Unbalanced OT for Label-free Long-tailed Generation

Hyunsoo Song, Minjung Gim, Jaewoong Choi†

Submitted.

Preliminary version: NeurIPS 2025 Workshop on Reliable ML from Unreliable Data

[P1] Scalable Simulation-free Entropic Unbalanced Optimal Transport

Jaemoo Choi, Jaewoong Choi†

Submitted.

[C11] Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan

Jaemoo Choi, Jaewoong Choi†, Dohyun Kwon†

Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025

[C10] Unpaired Point Cloud Completion via Unbalanced Optimal Transport

Taekyung Lee, Jaemoo Choi, Jaewoong Choi†, Myungjoo Kang†

Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025

Preliminary version: ICLR 2025 Workshop.

[C9] Improving Neural Optimal Transport via Displacement Interpolation

Jaemoo Choi, Yongxin Chen, Jaewoong Choi†

Proceedings of the International Conference on Learning Representations (ICLR), 2025

[C8] Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport

Milena Gazdieva*, Jaemoo Choi*, Alexander Kolesov, Jaewoong Choi, Petr Mokrov, Alexander Korotin†

Proceedings of the International Conference on Learning Representations (ICLR), 2025

[J2] Analyzing the Latent Space of GAN through Local Dimension Estimation for Disentanglement Evaluation

Jaewoong Choi, Geonho Hwang, Hyunsoo Cho, Myungjoo Kang†

Pattern Recognition, 2025

[C7] Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport

Jaemoo Choi*, Jaewoong Choi*, Myungjoo Kang†

Proceedings of the 41st International Conference on Machine Learning (ICML), 2024

[C6] Analyzing and Improving Optimal-Transport-based Adversarial Networks

Jaemoo Choi*, Jaewoong Choi*, Myungjoo Kang†

Proceedings of the International Conference on Learning Representations (ICLR), 2024

[C5] Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport

Jaemoo Choi*, Jaewoong Choi*, Myungjoo Kang†

Advances in Neural Information Processing Systems (NeurIPS), 2023

[C4] Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry

Yong-Hyun Park*, Mingi Kwon*, Jaewoong Choi, Junghyo Jo, Youngjung Uh†

Advances in Neural Information Processing Systems (NeurIPS), 2023

[C3] MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action

Geonho Hwang, Jaewoong Choi, Hyunsoo Cho, Myungjoo Kang†

Proceedings of the 40th International Conference on Machine Learning (ICML), 2023

[C2] Finding the Global Semantic Representation in GAN through Fréchet Mean

Jaewoong Choi, Geonho Hwang, Hyunsoo Cho, Myungjoo Kang†

Proceedings of the International Conference on Learning Representations (ICLR), 2023

[J1] Disentangling the correlated continuous and discrete generative factors of data

Jaewoong Choi, Geonho Hwang, Myungjoo Kang†

Pattern Recognition, 2023

[C1] Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs

Jaewoong Choi*, Junho Lee*, Changyeon Yoon, Jung Ho Park, Geonho Hwang, Myungjoo Kang†

Proceedings of the International Conference on Learning Representations (ICLR), 2022

[W1] Attention routing between capsules

Jaewoong Choi, Hyun Seo, Suii Im, Myungjoo Kang†

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2019