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Mingda Wan

2 accepted papers

2025

NRFlow: Towards Noise-Robust Generative Modeling via High-Order Mechanism

UAI 2025

Flow-based generative models have shown promise in various machine learning applications, but they often face challenges in handling noise and ensuring robustness in trajectory estimation. In this work, we propose NRFlow, a novel extension to flow-based generative modeling that incorporates second-o

Cited by 0SourcePDFScholar
2025

Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective

ICCV 2025poster

Diffusion models have made rapid progress in generating high-quality samples across various domains. However, a theoretical understanding of the Lipschitz continuity and second momentum properties of the diffusion process is still lacking. In this paper, we bridge this gap by providing a detailed ex…

Cited by 0SourcePDFScholar