3 citations · 4 across the 15 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
stat.ME2026
Improving score-based sampling via affine post-processing
Curtis McDonald, Kevin Rojas, Molei Tao +1
Sampling from a probability distribution with access only to its log-density is a foundational problem in statistics, machine learning, and the physical sciences. This problem is s…
stat.ML2026
Diffusion Model's Generalization Can Be Characterized by Inductive Biases toward a Data-Dependent Ridge Manifold
Ye He, Yitong Qiu, Molei Tao
We study a data-dependent notion of diffusion-model generalization: when a model does not memorize the training set, where do its generated samples go relative to the geometry indu…