将低秩最优传输问题转化为黎曼流形上的优化，显著提升计算效率与可扩展性，理论突破值得关注。
arXiv:2606.12120v1 Announce Type: new Abstract: Low-rank optimal transport (OT) mitigates the quadratic scaling of classical solvers, yet existing app…
从方差视角重新审视流匹配，提出稳定速度新方法，提升生成模型训练稳定性和性能。
arXiv:2602.05435v2 Announce Type: replace Abstract: While flow matching is elegant, its reliance on single-sample conditional velocities leads to high…
探索流形上的随机特征方法，为核方法在复杂数据空间中的应用提供新思路。
arXiv:2602.03797v3 Announce Type: replace Abstract: We present a new paradigm for creating random features to approximate bi-variate functions (in par…