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Wanmo Kang
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2020 – today
- 2024
- [c12]Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon:
Training Unbiased Diffusion Models From Biased Dataset. ICLR 2024 - [c11]Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon:
Label-Noise Robust Diffusion Models. ICLR 2024 - [i10]Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-Chul Moon:
Label-Noise Robust Diffusion Models. CoRR abs/2402.17517 (2024) - [i9]Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon:
Training Unbiased Diffusion Models From Biased Dataset. CoRR abs/2403.01189 (2024) - [i8]Byeonghu Na, Yeongmin Kim, Minsang Park, DongHyeok Shin, Wanmo Kang, Il-Chul Moon:
Diffusion Rejection Sampling. CoRR abs/2405.17880 (2024) - 2023
- [j11]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: 102-109 (2023) - [c10]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: 16424-16440 - [c9]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: 16567-16598 - 2022
- [c8]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: 11201-11228 - [c7]Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon:
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model. NeurIPS 2022 - [i7]Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-Chul Moon:
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models. CoRR abs/2205.13699 (2022) - [i6]Dongjun Kim, Yeongmin Kim, Wanmo Kang, Il-Chul Moon:
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models. CoRR abs/2211.17091 (2022) - 2021
- [c6]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: 8128-8136 - [c5]Kyoungseok Jang, Kwang-Sung Jun, Se-Young Yun, Wanmo Kang:
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis. ICML 2021: 4744-4754 - [i5]Dongjun Kim, Kyungwoo Song, Seungjae Shin, Wanmo Kang, Il-Chul Moon:
Posterior-Aided Regularization for Likelihood-Free Inference. CoRR abs/2102.07770 (2021) - [i4]Dongjun Kim, Seungjae Shin, Kyungwoo Song, Wanmo Kang, Il-Chul Moon:
Score Matching Model for Unbounded Data Score. CoRR abs/2106.05527 (2021) - 2020
- [c4]Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang:
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models. ICLR 2020 - [i3]Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon:
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. CoRR abs/2011.11878 (2020)
2010 – 2019
- 2019
- [j10]Wanmo Kang
, Jong Mun Lee:
Unbiased Sensitivity Estimation of One-Dimensional Diffusion Processes. Math. Oper. Res. 44(1): 334-353 (2019) - [i2]Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang:
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models. CoRR abs/1909.11299 (2019) - 2018
- [i1]Cheolhyoung Lee, Kyunghyun Cho, Wanmo Kang:
Directional Analysis of Stochastic Gradient Descent via von Mises-Fisher Distributions in Deep learning. CoRR abs/1810.00150 (2018) - 2017
- [j9]Chulmin Kang, Wanmo Kang
, Jong Mun Lee:
Exact Simulation of the Wishart Multidimensional Stochastic Volatility Model. Oper. Res. 65(5): 1190-1206 (2017) - 2015
- [j8]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): 372-383 (2015) - 2014
- [j7]Marco Bijvank
, Woonghee Tim Huh, Ganesh Janakiraman
, Wanmo Kang:
Robustness of Order-Up-to Policies in Lost-Sales Inventory Systems. Oper. Res. 62(5): 1040-1047 (2014) - [j6]Paul Glasserman, Wanmo Kang:
OR Forum - Design of Risk Weights. Oper. Res. 62(6): 1204-1220 (2014) - 2012
- [j5]Wanmo Kang, Kyoung-Kuk Kim, Hayong Shin:
Denoising Monte Carlo sensitivity estimates. Oper. Res. Lett. 40(3): 195-202 (2012)
2000 – 2009
- 2008
- [j4]Paul Glasserman, Wanmo Kang, Perwez Shahabuddin:
Fast Simulation of Multifactor Portfolio Credit Risk. Oper. Res. 56(5): 1200-1217 (2008) - 2007
- [j3]Wanmo Kang, Perwez Shahabuddin, Ward Whitt:
Exploiting regenerative structure to estimate finite time averages via simulation. ACM Trans. Model. Comput. Simul. 17(2): 8 (2007) - 2006
- [j2]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): 359-375 (2006) - [c3]Wanmo Kang, Kyungsik Lee:
Optimization Problems in the Simulation of Multifactor Portfolio Credit Risk. ICCSA (3) 2006: 777-784 - [c2]Guillermo Gallego
, Woonghee Tim Huh, Wanmo Kang, Robert Phillips
:
Linear Convergence of Tatônnement in a Bertrand Oligopoly. ICCSA (3) 2006: 822-831 - 2005
- [j1]Garud Iyengar, Wanmo Kang:
Inverse conic programming with applications. Oper. Res. Lett. 33(3): 319-330 (2005) - [c1]Wanmo Kang, Perwez Shahabuddin:
Fast simulation for multifactor portfolio credit risk in the t-copula model. WSC 2005: 1859-1868
Coauthor Index
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last updated on 2024-08-08 19:20 CEST by the dblp team
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