Jaemoo Choi

According to our database, Jaemoo Choi authored at least 20 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Adjoint Schrödinger Bridge Sampler.

Guan-Horng Liu, Jaemoo Choi, Yongxin Chen, Benjamin Kurt Miller, Ricky T. Q. Chen

CoRR, June, 2025

Non-equilibrium Annealed Adjoint Sampler.

Jaemoo Choi, Yongxin Chen, Molei Tao, Guan-Horng Liu

CoRR, June, 2025

Overcoming Fake Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan.

Jaemoo Choi, Jaewoong Choi, Dohyun Kwon

CoRR, February, 2025

Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Improving Neural Optimal Transport via Displacement Interpolation.

Jaemoo Choi, Yongxin Chen, Jaewoong Choi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FPGA-Only Implementation of MIPI C-PHY Receiver Using Blind Oversampling CDR for CMOS Image Sensors.

Jun Yeon Won, Shinki Jeong, Seongkwan Lee, Minho Kang, Insu Yang, Jaemoo Choi

Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2025

2024

Unsupervised Point Cloud Completion through Unbalanced Optimal Transport.

Taekyung Lee, Jaemoo Choi, Jaewoong Choi, Myungjoo Kang

CoRR, 2024

Scalable Simulation-free Entropic Unbalanced Optimal Transport.

Jaemoo Choi, Jaewoong Choi

CoRR, 2024

Probe Card Ground Noise Canceling Circuit.

Seongkwan Lee, Minho Kang, Cheolmin Park, Jun Yeon Won, Jaemoo Choi, Chanyeol Park, Sunyong Park, Woonphil Yang

Proceedings of the IEEE International Test Conference, 2024

Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport.

Jaemoo Choi, Jaewoong Choi, Myungjoo Kang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Analyzing and Improving Optimal-Transport-based Adversarial Networks.

Jaemoo Choi, Jaewoong Choi, Myungjoo Kang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Analyzing and Improving OT-based Adversarial Networks.

Jaemoo Choi, Jaewoong Choi, Myungjoo Kang

CoRR, 2023

Learning PDE Solution Operator for Continuous Modeling of Time-Series.

Yesom Park, Jaemoo Choi, Changyeon Yoon, Changhoon Song, Myungjoo Kang

CoRR, 2023

Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport.

Jaemoo Choi, Jaewoong Choi, Myungjoo Kang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Method for Diagnosing Channel Damage Using FPGA Transceiver.

Seongkwan Lee, Jun Yeon Won, Cheolmin Park, Minho Kang, Jaemoo Choi

Proceedings of the IEEE International Test Conference, 2023

Method for Adjusting Termination Resistance Using PMU in DC Test.

Seongkwan Lee, Minho Kang, Cheolmin Park, Jun Yeon Won, Jaemoo Choi

Proceedings of the IEEE International Test Conference, 2023

Restoration based Generative Models.

Jaemoo Choi, Yesom Park, Myungjoo Kang

Proceedings of the International Conference on Machine Learning, 2023

2022

4.5 Gsps MIPI D-PHY Receiver Circuit for Automatic Test Equipment.

Seongkwan Lee, Cheolmin Park, Minho Kang, Jun Yeon Won, HyungSun Ryu, Jaemoo Choi, Byunghyun Yim

Proceedings of the IEEE International Test Conference, 2022

2021

Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models.

Jaemoo Choi, Changyeon Yoon, Jeongwoo Bae, Myungjoo Kang

CoRR, 2021

3.5Gsps MIPI C-PHY Receiver Circuit for Automatic Test Equipment.

Seongkwan Lee, Minho Kang, Cheolmin Park, HyungSun Ryu, Jaemoo Choi, Byunghyun Yim

Proceedings of the IEEE International Test Conference, 2021