SIML

Professor

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Juho Lee

juholee (at) kaist.ac.kr

  • Bayesian deep learning & nonparametrics
  • Generative modeling
  • Meta-learning

Postdocs

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Yohan Jung

becre1776 (at) kaist.ac.kr

  • Bayesian deep learning
  • Gaussian processes and kernel methods
  • PAC-Bayes generalization bound

PhD Students

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Jongmin Yoon

jm.yoon (at) kaist.ac.kr

  • Generative modeling
  • Adversarial robustness
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Jungwon Choi

jungwon.choi (at) kaist.ac.kr

  • Domain generalization
  • Causal inference
...

Hyunsu Kim

kim.hyunsu (at) kaist.ac.kr

  • Markov chain Monte Carlo
  • Variational autoencoder
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Seanie Lee

lsnfamily02 (at) gmail.com

  • Natural language processing
  • Bayesian network
  • Meta-learning
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Moonseok Choi

ms.choi (at) kaist.ac.kr

  • Optimization
  • Loss landscape
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Hyungi Lee

lhk2708 (at) kaist.ac.kr

  • Stochastic process
  • Loss landscape
...

Giung Nam

giung (at) kaist.ac.kr

  • Bayesian inference
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SeungHyun Kim

sh0776879 (at) gmail.com

  • Bayesian deep learning

MS Students

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Sanghyun Kim

nannullna (at) kaist.ac.kr

  • Data-efficient learning
  • Causal inference
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Chaeyun Jang

jcy9911 (at) kaist.ac.kr

  • Bayesian deep learning
...

Gyeonghoon Ko

kog (at) kaist.ac.kr

  • Geometric deep learning
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Yegon Kim

yegonkim (at) kaist.ac.kr

  • Inductive bias
  • OOD generalization
  • Bayesian inference
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JongGeon Park

parkjonggeon (at) kaist.ac.kr

  • Generative modeling
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Jeongjun Lee

lee.jeongjun (at) kaist.ac.kr

  • Generative modeling
...

Joonhyeong Park

jhpark.kaist (at) gmail.com

  • Bayesian deep learning
  • Generative modeling

Alumni

  • Balhae Kim (PhD 2024)
  • Seongho Keum (MS 2024)
  • Seohyeon Jung (MS 2024)
  • Hyun Mog Kim (MS 2023)
  • Sunguk Jang (MS 2023)
  • EungGu Yun (MS 2023)
  • Taehong Moon (MS 2023)