Wanmo Kang

37 papers A* 11Misc 1Journal 23Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models.
CoRR
Byeonghu Na, Minsang Park, Gyuwon Sim, DongHyeok Shin, HeeSun Bae, Mina Kang, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
2025 A* conf
Distilling Dataset into Neural Field.
ICLR
DongHyeok Shin, HeeSun Bae, Gyuwon Sim, Wanmo Kang, Il-Chul Moon
2025 J jnl
Distilling Dataset into Neural Field.
CoRR
DongHyeok Shin, HeeSun Bae, Gyuwon Sim, Wanmo Kang, Il-Chul Moon
2024 A* conf
Diffusion Rejection Sampling.
ICML
Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon
2024 J jnl
Diffusion Rejection Sampling.
CoRR
Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon
2024 A* conf
Label-Noise Robust Diffusion Models.
ICLR
Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
2024 J jnl
Label-Noise Robust Diffusion Models.
CoRR
Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
2024 A* conf
Training Unbiased Diffusion Models From Biased Dataset.
ICLR
Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon
2024 J jnl
Training Unbiased Diffusion Models From Biased Dataset.
CoRR
Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon
2023 A* conf
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models.
ICML
Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
2023 A* conf
SAAL: Sharpness-Aware Active Learning.
ICML
Yoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon
2023 J jnl
Sequential Likelihood-Free Inference with Neural Proposal.
Pattern Recognit. Lett.
Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Wanmo Kang, Il-Chul Moon, Weonyoung Joo
2022 A* conf
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model.
NeurIPS
Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon
2022 J jnl
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models.
CoRR
Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon
2022 J jnl
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models.
CoRR
Dongjun Kim, Yeongmin Kim, Wanmo Kang, Il-Chul Moon
2022 A* conf
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation.
ICML
Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon
2021 A* conf
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder.
AAAI
Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon
2021 A* conf
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis.
ICML
Kyoungseok Jang, Kwang-Sung Jun, Se-Young Yun, Wanmo Kang
2021 J jnl
Posterior-Aided Regularization for Likelihood-Free Inference.
CoRR
Dongjun Kim, Kyungwoo Song, Seungjae Shin, Wanmo Kang, Il-Chul Moon
2021 J jnl
Score Matching Model for Unbounded Data Score.
CoRR
Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon
2020 J jnl
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder.
CoRR
Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon
2020 A* conf
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models.
ICLR
Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang
2019 J jnl
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models.
CoRR
Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang
2019 J jnl
Unbiased Sensitivity Estimation of One-Dimensional Diffusion Processes.
Math. Oper. Res.
Wanmo Kang, Jong Mun Lee
2018 J jnl
Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher Distributions in Deep learning.
CoRR
Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang
2017 J jnl
Exact Simulation of the Wishart Multidimensional Stochastic Volatility Model.
Oper. Res.
Chulmin Kang, Wanmo Kang, Jong Mun Lee
2015 J jnl
Risk Propagation Through a Platform: The Failure Risk Perspective on Platform Sharing.
IEEE Trans. Engineering Management
Changmuk Kang, Yoo Suk Hong, Woonghee Tim Huh, Wanmo Kang
2014 J jnl
OR Forum - Design of Risk Weights.
Oper. Res.
Paul Glasserman, Wanmo Kang
2014 J jnl
Robustness of Order-Up-to Policies in Lost-Sales Inventory Systems.
Oper. Res.
Marco Bijvank, Woonghee Tim Huh, Ganesh Janakiraman, Wanmo Kang
2012 J jnl
Denoising Monte Carlo sensitivity estimates.
Oper. Res. Lett.
Wanmo Kang, Kyoung-Kuk Kim, Hayong Shin
2008 J jnl
Fast Simulation of Multifactor Portfolio Credit Risk.
Oper. Res.
Paul Glasserman, Wanmo Kang, Perwez Shahabuddin
2007 J jnl
Exploiting regenerative structure to estimate finite time averages via simulation.
ACM Trans. Model. Comput. Simul.
Wanmo Kang, Perwez Shahabuddin, Ward Whitt
2006 — conf
Linear Convergence of Tatônnement in a Bertrand Oligopoly.
ICCSA (3)
Guillermo Gallego, Woonghee Tim Huh, Wanmo Kang, Robert Phillips
2006 — conf
Optimization Problems in the Simulation of Multifactor Portfolio Credit Risk.
ICCSA (3)
Wanmo Kang, Kyungsik Lee
2006 J jnl
Price Competition with the Attraction Demand Model: Existence of Unique Equilibrium and Its Stability.
Manuf. Serv. Oper. Manag.
Guillermo Gallego, Woonghee Tim Huh, Wanmo Kang, Robert Phillips
2005 Misc conf
Fast simulation for multifactor portfolio credit risk in the
WSC
Wanmo Kang, Perwez Shahabuddin
2005 J jnl
Inverse conic programming with applications.
Oper. Res. Lett.
Garud Iyengar, Wanmo Kang