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Meng-Yu Li

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Preprint Oct 2026

Free-support Wasserstein Resampling in Sequential Monte Carlo

In modern sequential Monte Carlo (SMC) applications, such as diffusion model samplers, propagating a particle is expensive, so only a few particles can be afforded. In this regime, each resampling step decides which regions of the state space survive, so a better resampling scheme is worth extra computation. However, c...

Meng-Yu Li, Cheng Meng, Jun S. Liu · 0 citations
#machine learning Preprint Sep 2026

Beyond Straightness: Non-Crossing Flow Matching via Quantile AlignTree Coupling

Quantile AlignTree Flow Matching (QAT-FM), an efficient structured coupling strategy that constructs a hierarchical coupling between a Gaussian prior and the target data distribution via a quantile-aligned tree structure, is proposed, enabling scalable training for large-scale high-dimensional generative tasks.

Jun-Yi Lin, Meng-Yu Li, Jing-Xuan Hu et al. · 0 citations

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