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Achievement: StarstruckAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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Achievement: StarstruckAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
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drumpt/README.md

Biography

I am a machine learning researcher AITRICS, working under the supervision of Prof. Eunho Yang. My research interests lie in developing scalable and provable machine learning algorithms for various applications. Currently, I am particularly intrigued by out-of-distribution generalization, deep generative models, and statistical learning theory. If you wish to collaborate, please do not hesitate to contact me!

Research Interests

  • Out-of-Distribution Generalization
  • Deep Generative Models
  • Statistical Learning Theory

Education

Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea

  • M.S. in Artificial Intelligence, Mar. 2022 – Feb. 2024
  • B.S. in Computer Science and Mathematics, Mar. 2017 – Feb. 2022

Professional Experience

AITRICS, Seoul, South Korea

  • Machine Learning Researcher, Nov. 2023 – Present

KAIST Machine Learning and Intelligence Lab, Daejeon, South Korea

  • Master's Student Researcher, Mar. 2022 – Feb. 2024
  • Undergraduate Researcher, Jun. 2021 – Feb. 2022

KAIST Applied Artificial Intelligence Lab, Daejeon, South Korea

  • Developer, Nov. 2021 – Jan. 2022

DeepNatural, Seoul, South Korea

  • Machine Learning Engineer, Sept. 2020 – Feb. 2021

KAIST Vehicular Intelligence Lab, Daejeon, South Korea

  • Undergraduate Researcher, Oct. 2019 – Aug. 2020

Netmarkble, Seoul, South Korea

  • Data Engineer, Jun. 2019 – Aug. 2019

Contact

GitHub Status

Changhun Kim's GitHub stats

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  1. shimazing/CloudFixer shimazing/CloudFixer Public

    Official repository of **CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation, ECCV'24**

    1

  2. SGEM SGEM Public

    Official PyTorch implementation of SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization (INTERSPEECH 2023 Oral Presentation)

    Python 29 3

  3. MX-Font MX-Font Public

    Python

  4. Perceptual-Adversarial-Robustness Perceptual-Adversarial-Robustness Public

    Jupyter Notebook

  5. Deterministic-Uncertainty-Quantification Deterministic-Uncertainty-Quantification Public

    Python

  6. Graph-Transformer-Networks Graph-Transformer-Networks Public

    Python