Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
publications
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization (DiBO)
Published in ICML; FPI @ ICLR Workshop, 2025
Recommended citation: Yun, T.*, Om, K.*, Lee, J., Yun, S., & Park, J. (2025). "Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization." ICML; FPI @ ICLR Workshop.
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Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization (CiBO)
Published in NeurIPS SPIGM Workshop (Oral), 2025
Recommended citation: Om, K.*, Sim, K.*, Yun, T.*, Kang, H., & Park, J. (2025). "Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization." NeurIPS Workshop on Structured Probabilistic Inference & Generative Modeling (Oral).
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Diffusion Alignment as Variational Expectation-Maximization
Published in ICLR (Poster), 2026
Recommended citation: Lee, J., Kim, M., Choi, S., Song, I., Yun, S., Kang, H., Shin, W., Yun, T., Om, K., & Park, J. (2026). "Diffusion Alignment as Variational Expectation-Maximization." ICLR.
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Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-Function
Published in ICLR (Poster), 2026
Recommended citation: Kang, H.*, Lee, J.*, Shin, W.*, Om, K., & Park, J. (2026). "Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-Function." ICLR.
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talks
Control as Probabilistic Inference
Published:
In this seminar hosted by KAIST’s System Intelligence Lab (SILAB), the talk focused on interpreting control problems through the lens of probabilistic inference.
Geometry-aware Posterior Inference for High dimensional black-box optimization
Published:
In this seminar hosted by KAIST’s System Intelligence Lab (SILAB), the talk focused on generative model based optimization on Riemannian Manifold.
teaching
Deep Learning Programming Study
Summer Lecture, Korea University, 2023
I served as a Teaching Assistant for the Deep Learning Programming Study under the guidance of Professor Sungbin Lim. In this role, I helped students master the fundamentals of building deep learning pipelines using advanced Python tools.
Teaching Assistant on IE343 Statistical Machine Learning
Undergraduate course, KAIST, Industrial & Systems Engineering, 2024
As a Teaching Assistant for the Statistical Machine Learning course (IE343) at KAIST, I support undergraduate students in developing a strong foundation in machine learning concepts and techniques.