Showing stat.MLShow all
3 papers · 1 filter
stat.ML2026
On the Limits of Latent Reuse in Diffusion Models
Yifeng Yu, Lu Yu
Diffusion models are often trained in low-dimensional latent spaces, which are then reused for related but shifted datasets. In this work, we study when such latent reuse remains r…
stat.ML2025
Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration
Yifeng Yu, Lu Yu
Score-based diffusion models have emerged as powerful tools in generative modeling, yet their theoretical foundations remain underexplored. In this work, we focus on the Wasserstei…
stat.ML2024
Randomized Midpoint Method for Log-Concave Sampling under Constraints
Yifeng Yu, Shijie Zhang, Lu Yu
In this paper, we study the problem of sampling from log-concave distributions supported on convex and compact sets, with a particular focus on the randomized midpoint discretizati…