publications

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

2025

  1. Theory-Informed Improvements to Classifier-Free Guidance for Discrete Diffusion Models
    Kevin Rojas, Ye He, Chieh-Hsin Lai, and 3 more authors
    arXiv preprint arXiv:2507.08965, 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