Students

We are currently working on the following topics of machine and deep learnings.

PhD Students

  • Kimin Lee - Bayesian deep learning

  • Sejun Park - Graphical models

  • Sungsoo Ahn - Approximate inference

  • Hyungwon Choi - Computer vision

  • Yunhun Jang - Transfer learning

  • Insu Han - Large-scale machine learning

  • Sukmin Yoo - Theoretical deep learning

MS Students

  • Hankook Lee - Deep neural architectures

  • Sangwoo Mo - Generative models

  • Junhyun Nam - Interpretable machine learning

  • Jaehyung Kim - Computer vision

  • Jongheon Jung - Bayesian optimization