JMLR

Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations

变分反演网络用于偏微分方程的统计反问题

Junxiong Jia, Yanni Wu, Peijun Li, Deyu Meng

AI总结 变分反演网络通过结合无限维变分推断和深度生成模型，解决PDE反问题中的不确定性量化问题，实现高效后验推断。

Comments 61 pages

Journal ref Journal of Machine Learning Research, 24(201), 1--60, 2023

Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields

条件复合似然的校准用于Gibbs随机场的贝叶斯推断

Julien Stoehr, Nial Friel

AI总结 本文提出了一种校准方法，用于通过复合似然进行Gibbs随机场的贝叶斯推断，通过实例验证了该方法的有效性。

Comments JMLR Workshop and Conference Proceedings, 18th International Conference on Artificial Intelligence and Statistics (AISTATS), San Diego, California, USA, 9-12 May 2015 (Vol. 38, pp. 921-929). arXiv admin note: substantial text overlap with arXiv:1207.5758

Journal ref Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, PMLR 38:921-929, 2015