BriefGPT.xyz
Apr, 2024
使用神经隐式流来表示规范系统的潜在动态
Using Neural Implicit Flow To Represent Latent Dynamics Of Canonical Systems
HTML
PDF
Imran Nasim, Joaõ Lucas de Sousa Almeida
TL;DR
研究了Neural Operators中的Neural Implicit Flow对经典系统的潜在动力学建模和动态相关信息提取的能力，并通过与Deep Operator Networks的比较分析，评估了其作为降维算法的适用性。
Abstract
The recently introduced class of architectures known as
neural operators
has emerged as highly versatile tools applicable to a wide range of tasks in the field of
scientific machine learning
(SciML), including da
→