← Search

Dung Trung Hoang

2 accepted papers

2025

Learning to Discretize Denoising Diffusion ODEs

ICLR 2025oral

Diffusion Probabilistic Models (DPMs) are generative models showing competitive performance in various domains, including image synthesis and 3D point cloud generation. Sampling from pre-trained DPMs involves multiple neural function evaluations (NFEs) to transform Gaussian noise samples into images…

2025

Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion

NeurIPS 2025poster

In domains such as molecular and protein generation, physical systems exhibit inherent symmetries that are critical to model. Two main strategies have emerged for learning invariant distributions: designing equivariant network architectures and using data augmentation to approximate equivariance. Wh…

Cited by 0SourcecodeScholar