publications

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

2026

  1. NeurIPS
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    Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion
    Jaihoon Kim, Taehoon Yoon, Prin Phunyaphibarn, and 3 more authors
    NeurIPS, 2026
  2. WACV
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    Unconditional priors matter! improving conditional generation of fine-tuned diffusion models
    Prin Phunyaphibarn, Phillip Y Lee, Jaihoon Kim, and 1 more author
    In WACV, 2026
    arXiv PDF
  3. ECCV
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    DiverseVAR: Balancing Diversity and Quality of Next-Scale Visual Autoregressive Models
    Mingue Park, Prin Phunyaphibarn, Phillip Y Lee, and 1 more author
    ECCV, 2026
    arXiv PDF
  4. Gen^2@ICLR
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    Reward-Guided Discrete Diffusion via Clean-Sample Markov Chain for Molecule and Biological Sequence Design
    Prin Phunyaphibarn and Minhyuk Sung
    ICLR 2026 Workshop on Generative AI in Genomics (Gen²), 2026
    arXiv PDF

  1. nCSI@NeurIPS
    Playgrounds for abstraction and reasoning
    Subin Kim, Prin Phunyaphibarn, Donghyun Ahn, and 1 more author
    In NeurIPS 2022 Workshop on Neuro Causal and Symbolic AI (nCSI)
    PDF
  2. M3L@NeurIPS
    Gradient Descent with Polyak’s Momentum Finds Flatter Minima via Large Catapults
    Prin Phunyaphibarn, Junghyun Lee, Bohan Wang, and 2 more authors
    In High-dimensional Learning Dynamics 2024: The Emergence of Structure and Reasoning
    arXiv PDF