Minkyu Kim
Ph.D. student KAIST
minkyu-kim@kaist.ac.kr
Bio
Hello! I'm a PhD student at Kim Jaechul Graduate School of AI at KAIST, advised by Sungsoo Ahn. I'm currently interested in the following!!- Boltzmann Sampling and Geometry Optimization
- Material Generation and surface interaction modeling
Publications
Most recent publications on Google Scholar
CatFlow: Co-generation of Slab-Adsorbate Systems via Flow Matching
Minkyu Kim, Nayoung Kim, Honghui Kim, Sungsoo Ahn
ICML 2026
AtomMOF: All-Atom Flow Matching for MOF-Adsorbate Structure Prediction
Nayoung Kim, Honghui Kim, Sihyun Yu, Minkyu Kim, Seongsu Kim, Sungsoo Ahn
arXiv preprint, 2026
On scalable and efficient training of diffusion samplers
Minkyu Kim, Kiyoung Seong, Dongyeop Woo, Sungsoo Ahn, Minsu Kim
NeurIPS 2025
Energy-based generator matching: A neural sampler for general state space
Dongyeop Woo, Minsu Kim, Minkyu Kim, Kiyoung Seong, Sungsoo Ahn
NeurIPS 2025
CatFlow: Co-generation of Slab-Adsorbate Systems via Flow Matching
Minkyu Kim, Nayoung Kim, Honghui Kim, Sungsoo Ahn
ICML 2026
AtomMOF: All-Atom Flow Matching for MOF-Adsorbate Structure Prediction
Nayoung Kim, Honghui Kim, Sihyun Yu, Minkyu Kim, Seongsu Kim, Sungsoo Ahn
arXiv preprint, 2026
On scalable and efficient training of diffusion samplers
Minkyu Kim, Kiyoung Seong, Dongyeop Woo, Sungsoo Ahn, Minsu Kim
NeurIPS 2025
Energy-based generator matching: A neural sampler for general state space
Dongyeop Woo, Minsu Kim, Minkyu Kim, Kiyoung Seong, Sungsoo Ahn
NeurIPS 2025
Internships
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MILA — Research Intern (Jul – Oct 2026)
Education
Full Resume in PDF.
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KAIST AI 2025 -Ph.D. student
Structured and Probabilistic Machine Learning Lab -
TU Wien Spring 2023Exchange student
Applied Mathematics -
POSTECH 2020 - 2023Bachelor
Mathematics
Volunteering
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Reviewer
TMLR, ICLR 2026 ReALM-GEN, GEM Workshop, ICML 2026 AI4Science Workshop, NeurIPS 2026
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Student Committee (2026)
ICML 2026 Korea AI4Science Gathering; ProbML 2026 Conference