Yeongmin Kim

2022.02.24 10:21

김영민 Views:663

Yeongmin Kim



MS Candidate

Applied Artificial Intelligence Laboratory

Department of Industrial and Systems Engineering

KAIST, Daejeon, Republic of Korea

Office : KAIST E2-2 No.4116





  • Machine Learning
  • Deep Generative Models: VAE, Score-based Diffusion Models
  • DGM Downstream Task: Controllable Generation, Unsupervised Representation Learning




  • Internship at Shinhan AI in Seoul (Mar. 2020 ~ Aug. 2020)



Korea Advanced Institute of Science and Technology (KAIST), Daejeon, the Republic of Korea (Mar. 2022 ~ )

  • Course of Master's Degree in AAILab, ISysE
  • Academic Advisor: Professor Il-Chul Moon


Korea Advanced Institute of Science and Technology (KAIST), Daejeon, the Republic of Korea (Mar. 2017 ~ Feb. 2022)

  • Bachelor of Science in Industrial and Systems Engineering
  • Bachelor of Science in Computer Science (Double Major)





  • Kim, Y., Cho, Y., Lee, H., & Moon, I. C. (2021, October). Predict Sequential Credit Card Delinquency with VaDE-Seq2Seq. In 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 1159-1164). IEEE.
  • Kim, Y., Kim, D., Lee, H., & Moon, I. C. (2022, December). Unsupervised Controllable Generation with Score-based Diffusion Models: Disentangled Latent Code Guidance. In Neurips 2022 workshops on Score Based Method.



  • Dean's list, KAIST, 2019 Fall & 2020 Fall
  • 송현상, KAIST ISysE, 2022
  • IE frontier 장려상 2019, 2021



Yeongmin Kim is a member of Applied Artificial Intelligence Laboratory. (2022.03 ~)

No. Subject Date Last Update User ID User Name
3 Yeodong Youn file 2021.08.30 2021.08.31 yeodong YeoDongYoun
2 Youngjae Cho file 2022.02.23 2022.08.11 cyj5760 YoungjaeCho
» Yeongmin Kim file 2022.02.24 2022.10.24 alsdudrla10 김영민