Yunhyeok Kwak

I am a Ph.D student at Seoul National University (SNU). I received my M.Sc. in Neuroscience from Seoual National University. Prior to joining SNU, I did work for Naver Clova AI as a research intern. Before this, I received my Bachelor's degree in Computer Science at Kookmin University.

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My research is focused on reinforcement learning and causal representation learning, especially in the context of learning and reasoning methods for sequential decision-making.

Quantized LCD Causal Dynamics Learning with Quantized Local Independence Discovery
Inwoo Hwang, Yunhyeok Kwak, Suhyung Choi, Byoung-Tak Zhang^, Sanghack Lee^.
  • ICML Workshop on Spurious Correlations, Invariance, and Stability, 2023
  • Workshop

    CSSI On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition
    Inwoo Hwang, Yunhyeok Kwak, Yeon-Ji Song, Byoung-Tak Zhang^, Sanghack Lee^.
  • Conference on Causal Learning and Reasoning (CLeaR), 2023
  • Paper / Code

    SelecMix SelecMix: Debiased Learning by Contradicting-pair Sampling
    Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim^, Byoung-Tak Zhang^.
  • Neural Information Processing Systems (NeurIPS), 2022   (Scholar Award)
  • ICML Workshop on Spurious Correlations, Invariance, and Stability, 2022
  • Paper / ArXiv / Code / Workshop

    Work Experience
    • Reserach Intern, Naver Clova, July 2020 - Dec. 2020
    Academic Services
    • Conference Reviewer: AISTATS 2024
    Teaching Experience
    Honors and Awards
    • Mid‑way Prize (Ranked at the top of three categories), Animal-AI Olympics, NeurIPS 2019 Competition
    • Summa Cum Laude, 2021
    • Academic Scholarship, 2018-2020

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