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ORCIDDohyun Kwon 0002
Person information
- affiliation: University of Seoul, Department of Mathematics, Dongdaemun, South Korea
- affiliation (former): University of Wisconsin-Madison, Department of Mathematics, WI, USA
- affiliation (PhD 2020): University of California Los Angeles, Department of Mathematics, CA, USA
Other persons with the same name
- Dohyun Kwon 0001 — Hyundai-Autoever, Seoul, South Korea (and 1 more)
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2020 – today
- 2025
[j3]Sun-Ho Choi, Dohyun Kwon
, Hyowon Seo:
Uniform position alignment estimate of a spherical flocking model with inter-particle bonding forces. Commun. Nonlinear Sci. Numer. Simul. 143: 108622 (2025)- [i10]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) - 2024
- [j2]Sun-Ho Choi, Soyeong Jeong, Dohyun Kwon, Hyowon Seo:
Target Tracking Systems on a Sphere With Topographic Information. IEEE Trans. Cybern. 54(5): 2901-2913 (2024) - [c7]Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D. Nowak:
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation. ICLR 2024 - [c6]Jeongyeol Kwon, Dohyun Kwon, Hanbaek Lyu:
On The Complexity of First-Order Methods in Stochastic Bilevel Optimization. ICML 2024 - [c5]Sangwoong Yoon, Himchan Hwang, Dohyun Kwon, Yung-Kyun Noh, Frank C. Park:
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models. NeurIPS 2024 - [c4]Jy-yong Sohn, Dohyun Kwon, Seoyeon An, Kangwook Lee:
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks. UAI 2024: 3264-3278 - [i9]Jeongyeol Kwon, Dohyun Kwon, Hanbaek Lyu:
On the Complexity of First-Order Methods in Stochastic Bilevel Optimization. CoRR abs/2402.07101 (2024) - [i8]Sangwoong Yoon, Himchan Hwang, Dohyun Kwon, Yung-Kyun Noh, Frank C. Park:
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models. CoRR abs/2407.00626 (2024) - [i7]Jy-yong Sohn, Dohyun Kwon, Seoyeon An, Kangwook Lee:
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks. CoRR abs/2408.00359 (2024) - 2023
- [j1]Sun-Ho Choi, Dohyun Kwon, Hyowon Seo:
Multi-agent system for target tracking on a sphere and its asymptotic behavior. Commun. Nonlinear Sci. Numer. Simul. 117: 106967 (2023) - [c3]Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D. Nowak:
A Fully First-Order Method for Stochastic Bilevel Optimization. ICML 2023: 18083-18113 - [c2]Dohyun Kwon, Hanbaek Lyu:
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning. ICML 2023: 18114-18134 - [i6]Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D. Nowak:
A Fully First-Order Method for Stochastic Bilevel Optimization. CoRR abs/2301.10945 (2023) - [i5]Dohyun Kwon, Hanbaek Lyu:
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning. CoRR abs/2306.02420 (2023) - [i4]Jeongyeol Kwon, Dohyun Kwon, Steve Wright, Robert D. Nowak:
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation. CoRR abs/2309.01753 (2023) - [i3]Sangwoong Yoon, Dohyun Kwon, Himchan Hwang, Yung-Kyun Noh, Frank C. Park:
Generalized Contrastive Divergence: Joint Training of Energy-Based Model and Diffusion Model through Inverse Reinforcement Learning. CoRR abs/2312.03397 (2023) - 2022
- [c1]Dohyun Kwon, Ying Fan, Kangwook Lee:
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance. NeurIPS 2022 - [i2]Dohyun Kwon, Ying Fan, Kangwook Lee:
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance. CoRR abs/2212.06359 (2022) - 2021
- [i1]Dohyun Kwon, Yeoneung Kim, Guido Montúfar, Insoon Yang:
Training Wasserstein GANs without gradient penalties. CoRR abs/2110.14150 (2021)
Coauthor Index
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