Efficient rare event sampling with unsupervised normalizing flows

• Main Authors: Asghar, Solomon, Pei, Qing-Xiang, Volpe, Giorgio, Ni, Ran
• 其他作者: School of Chemistry, Chemical Engineering and Biotechnology
• 格式: Article
• 語言: English
• 出版: 2025
• 主題: Computer and Information Science; Learning frameworks; Machine-learning
• 在線閱讀: https://hdl.handle.net/10356/182399

From physics and biology to seismology and economics, the behaviour of countless systems is determined by impactful yet unlikely transitions between metastable states known as rare events, the study of which is essential for understanding and controlling the properties of these systems. Classical co...