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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!

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

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

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 Intern, Nov. 2021 – Jan. 2022

DeepNatural, Seoul, South Korea

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

KAIST Vehicular Intelligence Lab, Daejeon, South Korea

• Undergraduate Researcher, Oct. 2019 – Aug. 2020

Netmarkble, Seoul, South Korea

• Data Engineer Intern, Jun. 2019 – Aug. 2019

• Email: [email protected]
• Homepage: https://changhun.kim