Kyuil Sim
M.S. Student, Graduate School of Industrial & Systems Engineering, KAIST
I am an M.S. Student, Graduate School of Industrial & Systems Engineering, KAIST, advised by Prof. Jinkyoo Park in the System Intelligence Lab.
I received my B.S. in Industrial Engineering from Hanyang University. I worked with Prof. Jaewook Song at the Financial Innovation & AnalytiX - FINX Lab, focusing on graph-structured problems, particularly algorithm design and problem formulation. During an internship at SPACEMAP, I developed satellite collision probability algorithms and shortest-path algorithms for satellite communications.
I am broadly interested in leveraging Machine Learning for Combinatorial Optimization (ML4CO) to solve complex, real-world problems, with a particular focus on integrating ML with Mixed-Integer Linear Programming (MILP). Currently, my research centers on exploring and developing discrete diffusion models to tackle these optimization challenges.
news
| May 2026 | Two papers accepted to ICML 2026 Workshop SPIGM! |
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| Sep 2025 | Paper accepted to NeurIPS 2025 Workshop SPIGM! |
| Feb 2025 | Started M.S. at the Graduate School of Industrial & Systems Engineering, KAIST, advised by Prof. Jinkyoo Park. |
selected publications
- Solving Integer Linear Programming with Parallel TemperingarXiv preprint arxiv:2605.29366, 2026
- Aligning Few-Step Generative Models by Amortizing Sample-based Variational InferencearXiv preprint arxiv:2605.26552, 2026
- Posterior Inference in Latent Space for Scalable Constrained Black-box OptimizationarXiv preprint arXiv:2507.00480, 2025*Equal contribution.
- JSSEAstroLibrary: A library for real-time conjunction assessment and optimal collision avoidanceJournal of Space Safety Engineering, 2024