Lin, Yen Ting

4 publications

TMLR 2025 Are We Really Learning the Score Function? Reinterpreting Diffusion Models Through Wasserstein Gradient Flow Matching An Vuong, Michael Thompson McCann, Javier E. Santos, Yen Ting Lin

NeurIPS 2025 Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Javier E. Santos, Agnese Marcato, Roman Colman, Nicholas Lubbers, Yen Ting Lin

ICML 2024 Liouville Flow Importance Sampler Yifeng Tian, Nishant Panda, Yen Ting Lin

ICML 2023 Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces Javier E. Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin