publications

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

2026

  1. Improving Classifier-Free Guidance in Masked Diffusion: Low-Dim Theoretical Insights with High-Dim Impact
    Kevin Rojas, Ye He, Chieh-Hsin Lai, and 3 more authors
    In The Fourteenth International Conference on Learning Representations, 2026

2025

  1. Improving reasoning for diffusion language models via group diffusion policy optimization
    Kevin Rojas, Jiahe Lin, Kashif Rasul, and 4 more authors
    arXiv preprint arXiv:2510.08554, 2025
  2. Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces
    Kevin Rojas, Yuchen Zhu, Sichen Zhu, and 2 more authors
    In Forty-second International Conference on Machine Learning, 2025
  3. What Exactly Does Guidance Do in Masked Discrete Diffusion Models
    He Ye, Rojas Kevin, and Tao Molei
    arXiv preprint arXiv:2506.10971, 2025
  4. Variational Schrodinger Momentum Diffusion
    Kevin Rojas, Yixin Tan, Molei Tao, and 2 more authors
    In The 28th International Conference on Artificial Intelligence and Statistics, 2025

2024

  1. Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
    Ye He, Kevin Rojas, and Molei Tao
    In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024

2023

  1. Dual Fourier Unet: scale-robust diffusion model for zero-shot super-resolution image generation
    Alexander Havrilla, Kevin Rojas, Wenjing Liao, and 1 more author
    In NeurIPS 2023 Workshop on Diffusion Models, 2023