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2020 – today
- 2025
[c15]Jun Yeon Won
, Shinki Jeong, Seongkwan Lee, Minho Kang, Insu Yang, Jaemoo Choi:
FPGA-Only Implementation of MIPI C-PHY Receiver Using Blind Oversampling CDR for CMOS Image Sensors. FPGA 2025: 247-256- [c14]Jaemoo Choi, Yongxin Chen, Jaewoong Choi:
Improving Neural Optimal Transport via Displacement Interpolation. ICLR 2025 - [c13]Milena Gazdieva, Jaemoo Choi, Alexander Kolesov, Jaewoong Choi, Petr Mokrov, Alexander Korotin:
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport. ICLR 2025 - [c12]Jaemoo Choi, Jaewoong Choi, Dohyun Kwon:
Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan. ICML 2025 - [c11]Taekyung Lee, Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Unpaired Point Cloud Completion via Unbalanced Optimal Transport. ICML 2025 - [c10]Seongkwan Lee, Hyuntae Jeong, Cheolmin Park, Jun Yeon Won, Minho Kang, Jaemoo Choi:
Method for Diagnosing Clock Jitter Using FPGA. ITC 2025: 502-505 - [i16]Jaemoo Choi, Jaewoong Choi, Dohyun Kwon:
Overcoming Fake Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan. CoRR abs/2502.04583 (2025) - [i15]Jaemoo Choi, Yongxin Chen, Molei Tao, Guan-Horng Liu:
Non-equilibrium Annealed Adjoint Sampler. CoRR abs/2506.18165 (2025) - [i14]Guan-Horng Liu, Jaemoo Choi, Yongxin Chen, Benjamin Kurt Miller, Ricky T. Q. Chen:
Adjoint Schrödinger Bridge Sampler. CoRR abs/2506.22565 (2025) - [i13]Yuchen Zhu, Wei Guo, Jaemoo Choi, Guan-Horng Liu, Yongxin Chen, Molei Tao:
MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control. CoRR abs/2508.10684 (2025) - [i12]Wei Guo, Jaemoo Choi, Yuchen Zhu, Molei Tao, Yongxin Chen:
Proximal Diffusion Neural Sampler. CoRR abs/2510.03824 (2025) - [i11]Yuchen Zhu, Wei Guo, Jaemoo Choi, Petr Molodyk, Bo Yuan, Molei Tao, Yongxin Chen:
Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization. CoRR abs/2510.08233 (2025) - 2024
- [c9]Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Analyzing and Improving Optimal-Transport-based Adversarial Networks. ICLR 2024 - [c8]Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport. ICML 2024 - [c7]Seongkwan Lee, Minho Kang, Cheolmin Park, Jun Yeon Won, Jaemoo Choi, Chanyeol Park, Sunyong Park, Woonphil Yang:
Probe Card Ground Noise Canceling Circuit. ITC 2024: 56-60 - [i10]Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport. CoRR abs/2402.05443 (2024) - [i9]Jaemoo Choi, Jaewoong Choi:
Scalable Simulation-free Entropic Unbalanced Optimal Transport. CoRR abs/2410.02656 (2024) - [i8]Taekyung Lee, Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Unsupervised Point Cloud Completion through Unbalanced Optimal Transport. CoRR abs/2410.02671 (2024) - [i7]Jaemoo Choi, Yongxin Chen, Jaewoong Choi:
Improving Neural Optimal Transport via Displacement Interpolation. CoRR abs/2410.03783 (2024) - [i6]Milena Gazdieva, Jaemoo Choi, Alexander Kolesov, Jaewoong Choi, Petr Mokrov, Alexander Korotin:
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport. CoRR abs/2410.03974 (2024) - 2023
- [c6]Jaemoo Choi, Yesom Park, Myungjoo Kang:
Restoration based Generative Models. ICML 2023: 5787-5816 - [c5]Seongkwan Lee, Jun Yeon Won, Cheolmin Park, Minho Kang, Jaemoo Choi:
Method for Diagnosing Channel Damage Using FPGA Transceiver. ITC 2023: 71-76 - [c4]Seongkwan Lee, Minho Kang, Cheolmin Park, Jun Yeon Won, Jaemoo Choi:
Method for Adjusting Termination Resistance Using PMU in DC Test. ITC 2023: 77-81 - [c3]Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport. NeurIPS 2023 - [i5]Yesom Park, Jaemoo Choi, Changyeon Yoon, Changhoon Song, Myungjoo Kang:
Learning PDE Solution Operator for Continuous Modeling of Time-Series. CoRR abs/2302.00854 (2023) - [i4]Jaemoo Choi, Yesom Park, Myungjoo Kang:
Restoration based Generative Models. CoRR abs/2303.05456 (2023) - [i3]Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport. CoRR abs/2305.14777 (2023) - [i2]Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Analyzing and Improving OT-based Adversarial Networks. CoRR abs/2310.02611 (2023) - 2022
- [c2]Seongkwan Lee, Cheolmin Park, Minho Kang, Jun Yeon Won, HyungSun Ryu, Jaemoo Choi, Byunghyun Yim:
4.5 Gsps MIPI D-PHY Receiver Circuit for Automatic Test Equipment. ITC 2022: 563-567 - 2021
- [c1]Seongkwan Lee, Minho Kang, Cheolmin Park, HyungSun Ryu, Jaemoo Choi, Byunghyun Yim:
3.5Gsps MIPI C-PHY Receiver Circuit for Automatic Test Equipment. ITC 2021: 294-298 - [i1]Jaemoo Choi, Changyeon Yoon, Jeongwoo Bae, Myungjoo Kang:
Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models. CoRR abs/2106.07903 (2021)
Coauthor Index
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