SIML

Professor

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Juho Lee

juholee (at) kaist.ac.kr

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

PhD Students

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Jungwon Choi

jungwon.choi (at) kaist.ac.kr

  • Self-supervised Learning
  • Multi-modal Representation
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Hyunsu Kim

kim.hyunsu (at) kaist.ac.kr

  • Bayesian Inference
  • Symmetry in AI
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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
  • Bayesian inference
  • Uncertainty calibration for LLM
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Giung Nam

giung (at) kaist.ac.kr

  • Bayesian inference
...

Gyeonghoon Ko

kog (at) kaist.ac.kr

  • Geometric deep learning
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Chaeyun Jang

jcy9911 (at) kaist.ac.kr

  • Large language models
  • Uncertainty calibration
...

Joonhyeong Park

jhpark.kaist (at) gmail.com

  • Bayesian deep learning
  • Generative modeling

MS Students

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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
...

Jeongjun Lee

lee.jeongjun (at) kaist.ac.kr

  • Generative modeling
...

Seungyoo Lee

punctuate (at) kaist.ac.kr

  • Natural language processing
  • Large language model
  • Data-efficient learning
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Seonghyeon Kim

shkim0824 (at) kaist.ac.kr

  • Bayesian inference
  • Generative modeling
...

Younghwan Gil

yhgil99 (at) kaist.ac.kr

  • Machine unlearning
  • Self-supervised learnig

Alumni

  • Haebeom Lee (PostDoc 2024)
  • Yohan Jung (PostDoc 2024)
  • Jongmin Yoon (PhD 2024)
  • Balhae Kim (PhD 2024)
  • Sanghyun Kim (MS 2024)
  • Seongho Keum (MS 2024)
  • Seohyeon Jung (MS 2024)
  • Hyunmog Kim (MS 2023)
  • Sunguk Jang (MS 2023)
  • Eunggu Yun (MS 2023)
  • Seunghyun Kim (MS 2023)
  • Taehong Moon (MS 2023)