概率仿真物理系统可靠性研究发布AutoCast框架

1. 12:00
   arXiv · Statistics Machine Learning

   物理系统概率仿真的可靠性评估

   研究对比了扩散或流匹配等生成模型与注入随机性的 CRPS 训练确定性模型集成，在匹配模型规模与算力预算下评估其不确定性可靠性。CRPS 训练集成在单步预测和自回归 rollout 中均获得更可靠的预测区间覆盖率，且推理速度显著更快；在环境空间训练的生成模型覆盖率相当但推理延迟大得多。研究发布模块化框架 AutoCast 与数据集生成包 AutoSim。

Current heat 7·Comparable peak 10（Oct 5）·Comparable change over 24 hours –

The trend compares only the same participants observed continuously; its range may be smaller than the current heat count. Move or click on the chart to inspect hourly heat; use the left and right arrow keys to switch.