arXiv · Machine Learning Theory· Aditi Gautam, Manikandan Ravikiran, Saira Qureshi, Sena Fatma Ekiz, Charan Jagwani, Mahmoud Elhadidy, Sanjeev Roka·· 3 hr agoAI score31
NV-Tesseract-AD：课程增强条件扩散模型用于多变量时间序列异常检测
NV-Tesseract-AD: Curriculum-Enhanced Conditional Diffusion for Multivariate Time-Series Anomaly Detection
AI brief
提出 NV-Tesseract-AD，一个课程学习增强的条件扩散框架，在掩码严重度与扩散噪声水平双轴上由易到难训练，结合 Transformer 扩散骨干与三阶段双课程。
Source: arXiv · Machine Learning Theory · arxiv.org