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 (Poster), 2025
Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization (CiBO)
Published in NeurIPS SPIGM Workshop (Oral), 2025
Diffusion Alignment as Variational Expectation-Maximization
Published in ICLR (Poster), 2026
Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-Function
Published in ICLR (Poster), 2026
Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation
Published in arXiv preprint, 2026
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
- Served as a teaching assistant for a summer school led by Professor Sungbin Lim.
- Covered PyTorch-based deep learning programming, including neural network implementation, automatic differentiation, and training workflows.
Teaching Assistant on IE343 Statistical Machine Learning
Undergraduate course, KAIST, Industrial & Systems Engineering, 2024
- Served as a teaching assistant for IE343 Statistical Machine Learning at KAIST.
- Covered core topics in statistical machine learning, including supervised learning, regression, classification, and model evaluation.