Choi, Jaemoo

12 publications

NeurIPS 2025 Adjoint Schrödinger Bridge Sampler Guan-Horng Liu, Jaemoo Choi, Yongxin Chen, Benjamin Kurt Miller, Ricky T. Q. Chen

ICLR 2025 Improving Neural Optimal Transport via Displacement Interpolation Jaemoo Choi, Yongxin Chen, Jaewoong Choi

NeurIPS 2025 MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control Yuchen Zhu, Wei Guo, Jaemoo Choi, Guan-Horng Liu, Yongxin Chen, Molei Tao

NeurIPS 2025 Non-Equilibrium Annealed Adjoint Sampler Jaemoo Choi, Yongxin Chen, Molei Tao, Guan-Horng Liu

ICML 2025 Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan Jaemoo Choi, Jaewoong Choi, Dohyun Kwon

ICLR 2025 Robust Barycenter Estimation Using Semi-Unbalanced Neural Optimal Transport Milena Gazdieva, Jaemoo Choi, Alexander Kolesov, Jaewoong Choi, Petr Mokrov, Alexander Korotin

ICLRW 2025 Unpaired Point Cloud Completion Using Unbalanced Optimal Transport mAP Taekyung Lee, Jaemoo Choi, Jaewoong Choi, Myungjoo Kang

ICML 2025 Unpaired Point Cloud Completion via Unbalanced Optimal Transport Taekyung Lee, Jaemoo Choi, Jaewoong Choi, Myungjoo Kang

ICLR 2024 Analyzing and Improving Optimal-Transport-Based Adversarial Networks Jaemoo Choi, Jaewoong Choi, Myungjoo Kang

ICML 2024 Scalable Wasserstein Gradient Flow for Generative Modeling Through Unbalanced Optimal Transport Jaemoo Choi, Jaewoong Choi, Myungjoo Kang

NeurIPS 2023 Generative Modeling Through the Semi-Dual Formulation of Unbalanced Optimal Transport Jaemoo Choi, Jaewoong Choi, Myungjoo Kang

ICML 2023 Restoration Based Generative Models Jaemoo Choi, Yesom Park, Myungjoo Kang