Machine Intelligence Lab · Led by Hongki Lim
Generative modeling
and probabilistic inference
We develop generative models and sampling methods for inverse problems, reconstruction, and inverse design.
Research overview
Research themes
News
- Seunghyeok Shin selected for the NRF master’s student research grant (석사과정생연구장려금지원사업).
- Sangjun An and Chang Gi Min join the lab as MS students.
- One paper accepted at NeurIPS 2026.
- One paper published in IEEE Access.
- One paper published in Physics in Medicine & Biology.
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- One paper accepted at ICML 2026.
- One paper published in Expert Systems with Applications.
- New NRF project on joint modeling of discrete and continuous variables begins.
- Minwoo Kim transitions to the PhD program.
- Jinhyoung Woo joins the lab as an MS student.
- One paper accepted at ICLR 2026.
- Four lab papers featured at ICCE-Asia 2025.
- One paper accepted at NeurIPS 2025 (Spotlight).
- New NRF project on Gaussian-space diffusion for 3D reconstruction begins.
- Seunghyeok Shin begins the integrated MS–PhD program.
- Dabin Kim and Kyeongkyu Lee join the lab as MS students.
- One paper published in IEEE Access.
- Lab participates in the BK21 program on next-generation AI for industrial convergence.
- Seonghwan Yoon joins the lab.
- NFEC-funded GPU server project supports the lab’s generative modeling research.
- Multimodal generative AI talent development program begins with IITP support.
- Minwoo Kim and Hwan Lee join the lab as MS students.
- Jongha Kim and Dongmin Kim join the lab as undergraduate researchers.
- Lab participates in an IITP program for AI convergence and innovation training.
- One paper published in IEEE Transactions on Computational Imaging.
- Lab participates in an IITP program supporting regional AI talent development.
- Lab participates in a KETEP program on digital technologies for sustainable energy.
- One paper published in IEEE Transactions on Pattern Analysis and Machine Intelligence.
- New NRF project on joint image restoration and analysis begins.
Join the lab
We welcome students and postdocs interested in generative models, probabilistic inference, and inverse problems.
Research with us