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@SeyoungKimLab

Seyoung Kim Lab

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  1. DMGP DMGP Public

    Official Implementation of "Doubly Mixed-Effects Gaussian Process Regression" (Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim) (AISTATS 2022, Oral)

    Python 12 2

  2. FactorialSDE FactorialSDE Public

    Official Implementation of "Factorial SDE for Multi-Output Gaussian Process Regression" (Daniel P. Jeong, Seyoung Kim) (AISTATS 2023)

    Python 4 1

  3. Ornaments Ornaments Public

    C 3

  4. PerturbNet PerturbNet Public

    Perturb-Net

    C++ 1 2

  5. EiGLasso EiGLasso Public

    C++ 1

  6. SeyoungKimLab.github.io SeyoungKimLab.github.io Public

    HTML

Repositories

Showing 6 of 6 repositories
  • SeyoungKimLab.github.io Public
    HTML 0 0 0 0 Updated Jul 25, 2024
  • Ornaments Public
    C 3 BSD-3-Clause 0 3 0 Updated Jul 25, 2024
  • FactorialSDE Public

    Official Implementation of "Factorial SDE for Multi-Output Gaussian Process Regression" (Daniel P. Jeong, Seyoung Kim) (AISTATS 2023)

    Python 4 GPL-3.0 1 0 0 Updated Apr 16, 2023
  • DMGP Public

    Official Implementation of "Doubly Mixed-Effects Gaussian Process Regression" (Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim) (AISTATS 2022, Oral)

    Python 12 GPL-3.0 2 0 0 Updated Jul 13, 2022
  • EiGLasso Public
    C++ 0 GPL-3.0 1 0 0 Updated Feb 27, 2022
  • PerturbNet Public

    Perturb-Net

    C++ 1 GPL-3.0 2 0 0 Updated Oct 17, 2021

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