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  • KAIST
  • Seoul, Korea

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dongyeop3813/README.md

👋 Hi there, I'm Dongyeop Woo!

  • PhD student at the Structured and Probabilistic Machine Learning Lab, KAIST AI.
  • My research focuses on AI for Science, particularly:
    • Material design
    • Small molecule generation
    • Boltzmann generators

📎 Selected Projects

  • EGM: Energy-based Generator Matching for Continuous-Time Markov Processes
  • iEFM: Iterated Energy-based Flow Matching for Sampling from Boltzmann Densities

🛠️ Tech Stack

Languages: Python, C++, JavaScript, Java, Scala, Ruby, OCaml
Libraries: PyTorch, JAX, NumPy, Matplotlib
Tools: Git, VSCode, Jupyter, Weights & Biases, LaTeX

📫 Contact

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  1. EGM EGM Public

    Energy-based generator matching

    Python 2

  2. IEFM IEFM Public

    Python 1

  3. Riemannian-MeanFlow Riemannian-MeanFlow Public

    Official JAX implementation of Riemannian Mean Flow for flow map learning on manifolds.

    Python 19 3