Dohyun Kwon

23 papers A* 7A 1Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Neural Optimal Transport in Hilbert Spaces: Characterizing Spurious Solutions and Gaussian Smoothing.
CoRR
Jae-Hwan Choi, Jiwoo Yoon, Dohyun Kwon, Jaewoong Choi
2026 J jnl
Rate-Optimal Noise Annealing in Semi-Dual Neural Optimal Transport: Tangential Identifiability, Off-Manifold Ambiguity, and Guaranteed Recovery.
CoRR
Raymond Chu, Jaewoong Choi, Dohyun Kwon
2025 J jnl
Overcoming Fake Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan.
CoRR
Jaemoo Choi, Jaewoong Choi, Dohyun Kwon
2025 A* conf
Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan.
ICML
Jaemoo Choi, Jaewoong Choi, Dohyun Kwon
2025 J jnl
Uniform position alignment estimate of a spherical flocking model with inter-particle bonding forces.
Commun. Nonlinear Sci. Numer. Simul.
Sun-Ho Choi, Dohyun Kwon, Hyowon Seo
2024 A* conf
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models.
NeurIPS
Sangwoong Yoon, Himchan Hwang, Dohyun Kwon, Yung-Kyun Noh, Frank C. Park
2024 J jnl
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models.
CoRR
Sangwoong Yoon, Himchan Hwang, Dohyun Kwon, Yung-Kyun Noh, Frank C. Park
2024 A conf
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks.
UAI
Jy-yong Sohn, Dohyun Kwon, Seoyeon An, Kangwook Lee
2024 J jnl
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks.
CoRR
Jy-yong Sohn, Dohyun Kwon, Seoyeon An, Kangwook Lee
2024 A* conf
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation.
ICLR
Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D. Nowak
2024 A* conf
On The Complexity of First-Order Methods in Stochastic Bilevel Optimization.
ICML
Jeongyeol Kwon, Dohyun Kwon, Hanbaek Lyu
2024 J jnl
On the Complexity of First-Order Methods in Stochastic Bilevel Optimization.
CoRR
Jeongyeol Kwon, Dohyun Kwon, Hanbaek Lyu
2024 J jnl
Target Tracking Systems on a Sphere With Topographic Information.
IEEE Trans. Cybern.
Sun-Ho Choi, Soyeong Jeong, Dohyun Kwon, Hyowon Seo
2023 A* conf
A Fully First-Order Method for Stochastic Bilevel Optimization.
ICML
Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D. Nowak
2023 J jnl
A Fully First-Order Method for Stochastic Bilevel Optimization.
CoRR
Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D. Nowak
2023 A* conf
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning.
ICML
Dohyun Kwon, Hanbaek Lyu
2023 J jnl
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning.
CoRR
Dohyun Kwon, Hanbaek Lyu
2023 J jnl
Generalized Contrastive Divergence: Joint Training of Energy-Based Model and Diffusion Model through Inverse Reinforcement Learning.
CoRR
Sangwoong Yoon, Dohyun Kwon, Himchan Hwang, Yung-Kyun Noh, Frank C. Park
2023 J jnl
Multi-agent system for target tracking on a sphere and its asymptotic behavior.
Commun. Nonlinear Sci. Numer. Simul.
Sun-Ho Choi, Dohyun Kwon, Hyowon Seo
2023 J jnl
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation.
CoRR
Jeongyeol Kwon, Dohyun Kwon, Steve Wright, Robert D. Nowak
2022 A* conf
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance.
NeurIPS
Dohyun Kwon, Ying Fan, Kangwook Lee
2022 J jnl
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance.
CoRR
Dohyun Kwon, Ying Fan, Kangwook Lee
2021 J jnl
Training Wasserstein GANs without gradient penalties.
CoRR
Dohyun Kwon, Yeoneung Kim, Guido Montúfar, Insoon Yang