publications

2026

  1. ICMLW
    Automated Kernel Discovery Towards Understanding High-dimensional Bayesian Optimization
    Taeyoung Yun*, Woocheol Shin*, Inhyuck Song, and 2 more authors
    In International Conference on Machine Learning (ICML) Workshop, 2026
    *Equal contribution.
  2. ICMLW
    Aligning Few-Step Generative Models by Amortizing Sample-based Variational Inference
    Jaewoo Lee*, Hyeongyu Kang*, Dohyun Kim, and 9 more authors
    In International Conference on Machine Learning (ICML) Workshop, 2026
    *Equal contribution.
  3. ICLR
    Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-Function
    Hyeongyu Kang*, Jaewoo Lee*, Woocheol Shin*, and 2 more authors
    In International Conference on Learning Representations (ICLR), 2026
    *Equal contribution.
    Paper
  4. ICLR
    Diffusion Alignment as Variational Expectation-Maximization
    Jaewoo Lee, Minsu Kim, Sanghyeok Choi, and 7 more authors
    In International Conference on Learning Representations (ICLR), 2026
    Paper
  5. WSDM
    Urban Traffic Network Layout Optimization with Guided Discrete Diffusion Models
    Taeyoung Yun, Inhyuck Song, Woocheol Shin, and 4 more authors
    In ACM International Conference on Web Search and Data Mining (WSDM), 2026
    Paper

2025

  1. KBS
    Beyond Trivial Edges: A Fractional Approach to Cohesive Subgraph Detection in Hypergraphs
    Hyewon Kim, Woocheol Shin, Dahee Kim, and 3 more authors
    Knowledge-Based Systems, 2025
    Paper