Author

Yanyan Liang

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#machine learning Preprint Oct 2026

Bernoulli Flow Models: Self-Consistent Generative Modeling for Binary Data

Binary diffusion models typically require a large number of function evaluations (NFEs) to generate high-quality samples, making practical inference computationally expensive. Reducing NFEs while preserving sample quality without distillation or additional training remains a significant challenge. Existing binary diffu...

Hao Mo, Liying Yang, Shu-Min Yao et al. · 0 citations

Preprint Aug 2026

Marrying Optimal Transport and ODEs for Unified Continuous-Time 4D Reconstruction and Tracking

Uni4R is a framework that unifies 4D reconstruction and point tracking by learning continuous velocity fields through the synergy of Optimal Transport (OT) and Ordinary Differential Equation (ODE), and acts as a kinematic prior that mutually benefits both 4D reconstruction and point tracking.

Liying Yang, Hao Mo, Jia-Lun Liu et al. · 0 citations