publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. ICLR
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    Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models
    Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, and 2 more authors
    In The Thirteenth International Conference on Learning Representations, 2025

2024

  1. NeurIPS
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    Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
    Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim, and 5 more authors
    In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
  2. arXiv
    Upsample guidance: Scale up diffusion models without training
    Juno Hwang, Yong-Hyun Park, and Junghyo Jo
    arXiv preprint arXiv:2404.01709, 2024

2023

  1. Workshop@NeurIPS
    Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment
    Yong-Hyun Park, Junghoon Seo, Bomseok Park, and 2 more authors
    In XAI in Action: Past, Present, and Future Applications, 2023
  2. NeurIPS
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    Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry
    Yong-Hyun Park, Mingi Kwon, Jaewoong Choi, and 2 more authors
    In Advances in Neural Information Processing Systems, 2023