一篇严谨的差分隐私高斯过程后验采样研究，包含主文8页+25页附录，理论深度与实用分析兼备
arXiv:2606.17995v1 Announce Type: cross Abstract: We study the privacy of releasing posterior sample paths from a Gaussian process (GP) when the entir…
从有限样本视角揭示扩散后验采样器的失效机制与深层原因
arXiv:2605.30330v1 Announce Type: new Abstract: Diffusion models have excellent capacity to model complex distributions of natural data, which has mad…
最新研究利用潜在后验采样预测3D结构，为分子建模与生成提供新颖高效的统计方法。
arXiv:2605.10830v2 Announce Type: replace-cross Abstract: The remarkable achievements of both generative models of 2D images and neural field represen…