2 papers
stat.ML2026
Low-dimensional adaptation of diffusion models: Convergence in total variation
Jiadong Liang, Zhihan Huang, Yuxin Chen
This paper investigates how diffusion generative models leverage (unknown) low-dimensional structure to accelerate sampling. Focusing on two mainstream samplers -- the denoising di…
cs.LG2025
Faster Diffusion Models via Higher-Order Approximation
Gen Li, Yuchen Zhou, Yuting Wei +1
In this paper, we explore provable acceleration of diffusion models without any additional retraining. Focusing on the task of approximating a target data distribution in $\mathbb{…