Wanmo Kang

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 22

Top Topics

Active Learning

Maximum Likelihood

Diffusion Models

Influence Maximization

Top Venues

Publications

Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
Label-Noise Robust Diffusion Models. CoRR (2024)
Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon
Training Unbiased Diffusion Models From Biased Dataset. CoRR (2024)
Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
Label-Noise Robust Diffusion Models. ICLR (2024)
Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon
Training Unbiased Diffusion Models From Biased Dataset. ICLR (2024)
Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon
Diffusion Rejection Sampling. CoRR (2024)
Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Wanmo Kang, Il-Chul Moon, Weonyoung Joo
Sequential Likelihood-Free Inference with Neural Proposal. Pattern Recognit. Lett. 169 (2023)
Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models. ICML (2023)
Yoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon
SAAL: Sharpness-Aware Active Learning. ICML (2023)
Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models. CoRR (2022)
Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model. NeurIPS (2022)
Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation. ICML (2022)
Dongjun Kim, Yeongmin Kim, Wanmo Kang, Il-Chul Moon
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models. CoRR (2022)
Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon
Score Matching Model for Unbounded Data Score. CoRR (2021)
Dongjun Kim, Kyungwoo Song, Seungjae Shin, Wanmo Kang, Il-Chul Moon
Posterior-Aided Regularization for Likelihood-Free Inference. CoRR (2021)
Kyoungseok Jang, Kwang-Sung Jun, Se-Young Yun, Wanmo Kang
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis. ICML (2021)
Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. AAAI (2021)
Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models. ICLR (2020)
Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. CoRR (2020)
Wanmo Kang, Jong Mun Lee
Unbiased Sensitivity Estimation of One-Dimensional Diffusion Processes. Math. Oper. Res. 44 (1) (2019)
Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models. CoRR (2019)
Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang
Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher Distributions in Deep learning. CoRR (2018)
Chulmin Kang, Wanmo Kang, Jong Mun Lee
Exact Simulation of the Wishart Multidimensional Stochastic Volatility Model. Oper. Res. 65 (5) (2017)
Changmuk Kang, Yoo Suk Hong, Woonghee Tim Huh, Wanmo Kang
Risk Propagation Through a Platform: The Failure Risk Perspective on Platform Sharing. IEEE Trans. Engineering Management 62 (3) (2015)
Marco Bijvank, Woonghee Tim Huh, Ganesh Janakiraman, Wanmo Kang
Robustness of Order-Up-to Policies in Lost-Sales Inventory Systems. Oper. Res. 62 (5) (2014)
Paul Glasserman, Wanmo Kang
OR Forum - Design of Risk Weights. Oper. Res. 62 (6) (2014)
Wanmo Kang, Kyoung-Kuk Kim, Hayong Shin
Denoising Monte Carlo sensitivity estimates. Oper. Res. Lett. 40 (3) (2012)
Paul Glasserman, Wanmo Kang, Perwez Shahabuddin
Fast Simulation of Multifactor Portfolio Credit Risk. Oper. Res. 56 (5) (2008)
Wanmo Kang, Perwez Shahabuddin, Ward Whitt
Exploiting regenerative structure to estimate finite time averages via simulation. ACM Trans. Model. Comput. Simul. 17 (2) (2007)
Wanmo Kang, Kyungsik Lee
Optimization Problems in the Simulation of Multifactor Portfolio Credit Risk. ICCSA (3) (2006)
Guillermo Gallego, Woonghee Tim Huh, Wanmo Kang, Robert Phillips
Linear Convergence of Tatônnement in a Bertrand Oligopoly. ICCSA (3) (2006)
Guillermo Gallego, Woonghee Tim Huh, Wanmo Kang, Robert Phillips
Price Competition with the Attraction Demand Model: Existence of Unique Equilibrium and Its Stability. Manuf. Serv. Oper. Manag. 8 (4) (2006)
Garud Iyengar, Wanmo Kang
Inverse conic programming with applications. Oper. Res. Lett. 33 (3) (2005)
Wanmo Kang, Perwez Shahabuddin
-copula model. WSC (2005)