Inverse Autoregressive Flows for Zero Degree Calorimeter fast simulation
逆自回归流用于零度 calorimeter 快速模拟
机构 * AGH University of Krakow（克拉科夫AGH大学）
AI总结 本文提出逆自回归流方法，通过引入新的损失函数和缩放机制，提升ZDC模拟的准确性和速度，比现有方法快421倍。
Comments Presented as a poster at the Machine Learning and the Physical Sciences Workshop, 39th Conference on Neural Information Processing Systems (NeurIPS), 2025
