- Seoul, Republic of Korea
- taehoon@kaist.ac.kr
Generative Modeling, Probabilistic Inference:
Diffusion and Flow-Matching Models, Controllable Generation, Reward Alignment, Inverse Problems, Particle-Based Sampling Methods
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Korea Advanced Institute of Science and Technology (KAIST) [Mar. 2024 - Present]
M.S. in Artificial Intelligence (Graduate School of Artificial Intelligence)
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Sogang University [Mar. 2017 - Feb. 2024]
B.S. in Physics & Computer Science and Engineering (Double Major), GPA: 4.27/4.3
Graduated as the top student from the College of Natural Sciences (Valedictorian)
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[NeurIPS 2025, Spotlight] Ψ-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
Taehoon Yoon*, Yunhong Min*, Kyeongmin Yeo*, Minhyuk Sung (* equal contribution)
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[NeurIPS 2025] Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing
Jaihoon Kim*, Taehoon Yoon*, Jisung Hwang*, Minhyuk Sung (* equal contribution)
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[NeurIPS 2024] GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation
Phillip Y. Lee*, Taehoon Yoon*, Minhyuk Sung (* equal contribution)
- Valedictorian, College of Natural Sciences, Sogang University [Feb. 2024]
- Dean's List, Sogang University [Feb. 2023, Feb. 2020]
- Top 1% Grade Award, Sogang University [Sept. 2020, Mar. 2020, Mar. 2019]
- Graduate Researcher at Visual AI Lab, KAIST (Advisor, Prof. Minhyuk Sung) [Mar.2024 - Present]
- Research Intern at Visual AI Lab, KAIST (Advisor, Prof. Minhyuk Sung) [Jan.2024 - Feb.2024]
- Research Intern at CJ AI Center, CJ Group [hosted by Seoul National Univ. AI Institute] (Advisor, Dr. Seong Jong Ha) [Jul.2023 - Aug. 2023]
- Undergraduate Research Assistant at Visual Computing Lab, Sogang University (Advisor, Prof. Joo Ho Lee) [Sept. 2022 - Apr. 2023]
- Research Internship at BISPL Lab, KAIST AI graduate school (Advisor, Prof. Jong Chul Ye) [Jul. 2022 - Sept. 2022]
- Observatory & Education Assistant at Donga Science Observatory [May.2018 - Feb. 2019]